Artificial intelligence and work: a critical review of recent research from the social sciences
Open accessAbstract
This review seeks to present a comprehensive picture of recent discussions in the social sciences of the anticipated impact of AI on the world of work. Issues covered include: technological unemployment, algorithmic management, platform work and the politics of AI work. The review identifies the major disciplinary and methodological perspectives on AI’s impact on work, and the obstacles they face in making predictions. Two parameters influencing the development and deployment of AI in the economy are highlighted: the capitalist imperative and nationalistic pressures.
AI snapshot
Written from the paper’s full text.
TL;DR
This critical review synthesises recent social-science research on AI's impact on work across four areas: technological unemployment, algorithmic management, platform work, and the politics of AI work. It argues that AI's effects are not technologically determined but shaped by two background imperatives—a capitalist profit imperative and nationalistic/geopolitical pressures.
Key findings
- Predictions of technological unemployment vary enormously by method: Frey and Osborne estimate 47% of US jobs at risk within two decades, Bowles 54% in the EU and USA, while Arntz et al. (using an alternative task-linking method) find around 9% across the OECD (12% in Austria, 6% in South Korea), and Nedelkoska and Quintini estimate 14% of jobs highly automatable and 32% at 50–70% risk.
- Optimistic accounts report productivity and job gains: Accenture estimates AI could raise labour productivity by up to 40% by 2035; PwC estimates global GDP up 14% by 2030 (up to $15.7 trillion); the World Economic Forum predicts a net increase of 58 million jobs (133 million new roles, 75 million displaced); McKinsey values AI in banking at $1 trillion annually (15.4% of sales).
- The review identifies methodological weaknesses in forecasting: models rely on existing job/task descriptions, treat "skill" and "routine work" as unproblematic, and cannot anticipate new tasks and jobs; Clifton et al. are cited that technology's employment impact "is not deterministic."
- Marxist and historical critiques argue capitalist property relations and profit criteria, weakened labour power, cheap labour, shareholder-value priorities, and sectoral overcapacity all disincentivise job-replacing automation, so absence of mass unemployment coincides instead with precariousness and exploitation.
Methods
- Design: a critical, non-disciplinary literature review, one output of an Australian Research Council–funded project (DP190103116) on the centrality of work; "critical" is defined via the "Macbeth question" about the social-political context of knowledge claims.
- Scope: work is restricted to formal economic activity (production of goods and services for profit or wage); AI is defined as computational methods using data to replicate activities in labour processes.
- Analysis: thematic synthesis across four areas—technological unemployment (Sect. 3), algorithmic management (Sect. 4), platform work (Sect. 5), and the politics of AI work (Sect. 6)—organised around the capitalist and nationalistic imperatives.
Limitations
- Stated by the authors: the lack of a specific disciplinary perspective and the broad thematic scope carry drawbacks, including the risk of missing important details and important references in each disciplinary field; they also note their restricted definition of work excludes social reproduction activities.
- Evident from the text: no systematic search or inclusion protocol is described, and the review relies on secondary literature and cited estimates rather than primary data collection; the authors themselves note that case-study methods inform only a particular job at a particular time and place, and that generalising across national contexts is difficult.
Model-written summary. Check it against the paper before relying on it.
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Claims the paper makes
0 of 137 cited sources checked · 0 supported · 0 flagged
- Interpretationnone given
The development and deployment of AI in the economy are influenced by two parameters: a capitalist imperative and nationalistic pressures.
“Two parameters influencing the development and deployment of AI in the economy are highlighted: the capitalist imperative and nationalistic pressures.”
- Also stated in: § 1 Introduction · plain
“AI processes are deployed in a context characterised by two fairly uncontroversial features: a capitalistic imperative and nationalistic pressures.”
Quote in the paperSubstantial claim - Also stated in: § 1 Introduction · plain
- Interpretationcitation
The geopolitical factor is directly tied to the economic one.
“The geopolitical factor is directly tied to the economic one.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Hwang 2018
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- Interpretationreasoning
Advances in theoretical knowledge and technical improvements alone are not sufficient to explain the actual paths digital innovation travels and the forms it takes.
“yet it is not sufficient to refer to advances in theoretical knowledge and technical improvements alone to explain the actual paths it travels and the forms it takes.”
Quote in the paperSubstantial claim - Premisecitation
In recent years, the battle for geopolitical hegemony has meant that other major powers, notably China, have also invested significantly in AI research.
“In more recent years, the battle for geopolitical hegemony has meant that other major powers, notably China, have also invested significantly in AI research (Barton et al. 2017;Allen 2019;Savage 2020;Roberts et al. 2021).”
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- cites Allen 2019
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- cites Savage 2020 source
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- Premisecitation
A major driver of AI innovation and development since the 1980s in the US has been the military.
“A major driver of AI innovation and development since the 1980s in the US has been the military (Berman 1992;Morgan et al. 2020 on US investment in AI for intel-ligence and surveilance systems).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Berman 1992 source
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- cites Morgan et al. 2020
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- Interpretationreasoning
A key condition of AI's success in the workplace is that it can replicate the outcomes achieved by human workers.
“Whatever the reasons, a key condition of its success therefore is that it can replicate the outcomes achieved by human workers.”
Quote in the paperSubstantial claim - Interpretationreasoning
Predictions about technological unemployment rely on assumptions about the ways in which human workers achieve the outcomes expected in their jobs.
“Predictions about technological unemployment rely on assumptions about the ways in which human workers achieve the outcomes expected in their jobs.”
Quote in the paperSubstantial claim - Premisecitation
In much of the social science literature, the terms skill, task, job, occupation and industry are taken for granted.
“In much of the literature in the social sciences, notably in labour economics, management and the sociology of work, these terms are taken for granted.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Autor et al. 2003 source
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- Interpretationcitation
The social context plays a direct part in the lines of technological development, including which artefacts and processes are produced and deployed and how they are used.
“The social context plays a direct part in the lines of technological development, both regarding the concrete features that artefacts and processes take, which objects and artefacts are produced and deployed in the first place, and the ways in which objects, processes and networks are put to use.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Stamper 1988 source
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- cites Feenberg 1991
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- Premisecitation
Digital innovation has been driven to a significant extent by attempts at winning economic competition and increasing profit through usual capitalist methods.
“Digital innovation has been driven to a significant extent by the attempts at winning the economic competition and increasing profit through the usual methods that are used in capitalistic economics”
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- cites Steinhoff 2021 source
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- Interpretationreasoning
AI might lead to a hollowing out of white-collar jobs in business, administration and knowledge industries.
“Consequently, AI might lead to a hollowing out of white-collar jobs in business, administration and knowledge industries.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Deshpande et al. 2021
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- Premisecitation
Pouliakas confirms these figures via a method using disaggregated job descriptions in the European Skills and Jobs Survey.
“The figures are confirmed by Pouliakas (2018) via a method that uses disaggregated job descriptions in a key survey conducted by the European Union (the European Skills and Jobs Survey, covering 49,000 EU adult workers), a method that allows him to factor in information on skill requirements”
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- Interpretationreasoning
Some basic-skill jobs are uniquely immune to automation.
“Some basicskill jobs are thus uniquely immune.”
Quote in the paperSubstantial claim - Premisecitation
Some empirical work supports optimistic predictions, with studies published by international institutions reporting the absence of any current impact on job markets.
“Some empirical work supports these predictions, with studies published by international institutions reporting the absence of any current impact on job markets (Georgieff andMilanez 2021 andLane andSaint-Martin 2021 for the OECD).”
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- cites Lane and Saint-Martin 2021
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- Premisecitation
Acemoglu, Autor, Hazell, and Restrepo (2020) conclude no significant effect yet in the last decade at the occupation or industry level in the US.
“A study by Acemoglu, Autor, Hazell, and Restrepo (2020) concludes no significant effect yet in the last decade at the occupation or industry level in the US.”
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- Interpretationcitation
A detailed look at what professionals actually do challenges the assumption that work that appears more complex or requiring higher skills is necessarily equivalent with non-routine work.
“First, a detailed look at what professionals actually do challenges the assumption that work that appears more complex or requiring higher skills is necessarily equivalent with non routine work.”
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- cites Susskind and Susskind 2015 source
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- Premisecitation
Squicciarini and Staccioli (2022) find no significant effect of natural language processing techniques on employment.
“In a recent OECD paper, Squicciarini and Staccioli (2022) study the impact of natural language processing techniques on specific occupations and find no significant effect on employment.”
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- Premisereasoning
AI technology is particularly efficient in task-oriented, routine environments where large amounts of data can be analysed to identify patterns, make decisions, and produce solutions or efficiency dividends.
“Because of this, AI technology is particularly efficient in task-oriented, routine environments where large amounts of data can be analysed to identify patterns, make decisions based on those pattens, and produce solutions or efficiency dividends, for instance within banking and finance industries (Neufeind et al. 2018;De Vries et al. 2020).”
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- cites De Vries et al. 2020 source
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- Premisecitation
A significant portion of professional work involves routine activities.
“A significant portion of professional work in fact involves routine activities (Ford 2015(Ford , 2021;;Susskind andSusskind 2015, 2020)”
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Many entry level and manual jobs are not routine and therefore not easily codifiable.
“Third, many entry level and manual jobs are in fact not routine and, therefore, not easily codifiable (Goos et al. 2014;Autor et al. 2015, Barbieri et al. 2020).”
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- cites Autor et al. 2015
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- Interpretationreasoning
In cases where low-skill tasks continue to be fulfilled by humans in service of automated processes, human work continues not because it is difficult to automate but because humans are better at it, or cheaper to employ, than machines.
“In cases such as these, human work continues to be performed by humans, not because it is difficult to automate, but because humans are better at it, or cheaper to employ, than machines.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Ebben 2020
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- cites Zhang et al. 2021 source
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Labour productivity growth in the UK since 2007 was the lowest decade on average since the eighteenth century.
“Lewis and Bell (2019) has shown that labour productivity growth in the UK since 2007 was the lowest decade on average since the eighteenth century.”
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- Premisecitation
Computational power supported by adequate hardware, notably quality microconductors, and energy availability are basic material conditions of AI systems.
“As Hwang shows in a landmark study (2018), even though they are taken for granted in most reports, computational power supported by adequate hardware (notably quality microconductors), and energy availability, are basic material conditions of AI systems.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hwang 2018
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- Interpretationreasoning
Predictive exercises about AI and work must meet formidable methodological challenges.
“Predictive exercises must meet formidable methodological challenges.”
Quote in the paperSubstantial claim - Interpretationreasoning
When the capacity of labour to organize is weakened, the need to shift work to capital to bypass labour is less pressing.
“When the capacity of labour to organize is weakened, the need to shift work to capital to bypass labour is less pressing.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Even if the previous arguments did not obtain, the current economic context does not incentivize massive deployment of job-replacing technologies.
“In other words, even if the previous arguments did not obtain, it would still be the case that the current economic context does not incentivize massive deployment of job-replacing technologies.”
Quote in the paperSubstantial claim - Premisecitation
Some aspects of worker monitoring seem benign and might even be benevolent, as when it is used to increase digital security, prevent fraud, or to monitor and improve worker health and safety.
“Some aspects of worker monitoring seem benign and might even be benevolent, as when it is used to increase digital security, prevent fraud, or to monitor and improve worker health and safety (De Stefano 2019).”
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- Premisecitation
Algorithms are widely used by companies such as Airbnb, Uber, and Amazon to manage, direct, recruit, evaluate, and even terminate workers.
“Algorithms are widely used, by companies such as Airbnb (Cheng and Foley 2019), Uber (Möhlmann and Henfridsson 2019;Muller 2019;Amorim and Moda 2020), and Amazon (Park et al. 2021;Chesta 2021) in precisely these ways, to manage, direct, recruit, evaluate, and even terminate workers.”
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- cites Möhlmann and Henfridsson 2019
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- cites Park et al. 2021
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- Interpretationcitation
External conditions directly impact on the deployment of AI.
“Finally, external conditions directly impact on the deployment of AI.”
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If shareholder value can be ensured through other means than investment in technology, which comes with significant sunk costs, then that path will be chosen.
“If shareholder value can be ensured through other means than investment in technology, which comes with significant sunk costs, then that path will be chosen.”
Quote in the paperSubstantial claim - Premisecitation
AI further increases the power imbalance between managers and employees, notably as a result of the asymmetry of information.
“AI further increases the power imbalance between managers and employees (Jarrahi et al. 2021), notably as a result of the asymmetry of information.”
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- Interpretationreasoning
Geopolitical, economic and resource limitations might well slow down or hamper AI deployment simply because material support is lacking.
“Geopolitical, economic, resource limitations might well slow down or hamper AI deployment simply because material support is lacking.”
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There is no massive job churn as a result of massive deployment of automated work processes.
“But there is no massive job churn as a result of massive deployment of automated work processes.”
Quote in the paperSubstantial claim - Premisecitation
The decisive factor to consider is not technological opportunity but the profitability criterion.
“As Dinerstein et al. (2021) concur, the decisive factor to consider is “not technological opportunity” but the “profitability criterion”.”
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- Interpretationcitation
Computational power and energy availability are non-trivial conditions that need to be taken into account when calculating the likelihood of human tasks and jobs being replicated in the real world.
“This makes them non-trivial conditions that need to be taken into account when calculating the likelihood of human tasks and jobs being replicated in the real world.”
Quote in the paperSubstantial claim - Interpretationcitation
Methods for making predictions on the impact of AI on tasks using large datasets seem ill-suited for capturing the complexity at the micro-level of what particular jobs actually involve in their specific context.
“Methods for making predictions on the impact of AI on tasks using large datasets seem ill-suited for capturing the complexity at the micro-level of what particular jobs actually involve in their specific context (Ebben 2020).”
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- Premisecitation
Different structures of the economy, the education system, and so on, mean that AI impacts work differently in different economies, making generalisation from one national context to another difficult.
“Many researchers highlight the difficulty of generalising from one national context to another, as different structures of the economy, the education system, and so on, mean that AI impacts work differently in different economies (Luksha et al. 2015;Spencer and Slater 2020).”
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- cites Spencer and Slater 2020 source
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- Interpretationnone given
In the current phase of capitalism, with its distinctive property structures and ideological underpinning, shareholder value, not productivity, matters.
“Third, in the current phase of capitalism, with its distinctive property structures and ideological underpining, it is shareholder value, not productivity that matters.”
Quote in the paperNot a substantial claim - Premisecitation
The more data are fed into AI processes, the more effective its use.
“The more data are fed into AI processes, the more effective its use (Gal et al. 2020;Ebert et al. 2021).”
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With the sophistication of financial tools and the protection of taxation schemes, there is no pressing incentive in many industries to invest in technology designed to replace human labour.
“With the sophistication of financial tools and the protection of promiscuous taxation schemes, there is no pressing incentive in many industries to invest in technology designed to replace human labour (Smith 2020).”
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- Premisecitation
Assuming that automation necessarily increases productivity might in some cases be based on an overly narrow view of the tasks automated and on erroneous measures of efficiency.
“as De Stefano makes the case (2020), assuming that automation necessarily increases productivity might in some cases be based on an overly narrow view of the tasks automated and on erroneous measures of efficiency.”
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- Interpretationreasoning
In a capitalist economy, technological innovation serves to increase output as a way to increase profit.
“The combination of these two factors means that technological innovation in a capitalist economy serves to increase output as a way to increase profit.”
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If AI processes could be understood and tracked transparently, this would undermine the point of having them in the first place.
“Indeed, if AI processes could be understood and tracked transparently, this would undermine the point of having them in the first place (Buchanan and Badham 2020).”
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- Interpretationreasoning
The machinic objectivity of AI-based management processes has the effect of creating a screen between worker and organisation, and between worker and management.
“The machinic objectivity of AI-based management processes has the effect of creating a screen between worker and organisation, and between worker and management.”
Quote in the paperSubstantial claim - Premisecitation
Algorithmic management might perpetuate societal biases and reproduce discriminatory practices at work, whether the discrimination is built into the algorithms, management's use of the algorithm, or customer ratings of workers.
“Algorithmic management might perpetuate societal biases and reproduce discriminatory practices at work, whether the discrimination is built into the algorithms, or management's use of the algorithm, or as a result of customer's rating of workers (Noble 2018;Benjamin 2019;Kellogg et al. 2020;Akter et al. 2021;Zajko 2021;Heinrichs 2022).”
Quote in the paperSubstantial claim0 of 3 sources checked - Interpretationreasoning
Algorithmic management makes a unique demand for the blind trust of workers.
“Algorithmic management, therefore, makes a unique demand for the “blind trust” of workers (Leicht-Deobald et al. 2019).”
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- Interpretationcitation
One of the consequences of the deployment of AI could be further stress being put on already ailing systems of social protection.
“One of the consequences of the deployment of AI could be further stress being put on already ailing systems of social protection (Konkolewsky 2017).”
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- Premisecitation
Algorithmic control of the work process takes away the dimensions of personal intervention, choice and even of creativity.
“Algorithmic control of the work process takes away the dimensions of personal intervention, choice and even of creativity (Huang 2021).”
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- Premisecitation
A lot of human labour is needed to fill the cracks of AI.
“As sociologists of technological innovation highlight, a lot of human labour is needed to fill the cracks of AI (Gray and Suri 2019;Tubaro and Casilli 2019;Tubaro et al. 2020).”
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Increasing amounts of empirical evidence confirm the risk that algorithmic management perpetuates bias and discrimination.
“Increasing amounts of empirical evidence confirm this risk (Obermeyer et al. 2019;Datta et al. 2015;Lambrecht and Tucker 2019).”
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A number of arm wrestles are underway between a few immensely powerful corporations and the actors representing workers: activists, trade unions, cities and regions affected by AI, branches of national governments, multinational organisations like the EU, and international bodies like the ILO.
“Regarding the capitalist imperative, a number of arm wrestles are underway between a few immensely powerful corporations and the actors representing workers: activists, trade unions, cities and regions affected by AI (typically by platforms such as Airbnb or Uber), branches of national governments, multinational organisations like the EU, international bodies, like the ILO.”
Quote in the paperSubstantial claim - Premisecitation
This human labour is often obscured as corporate communication highlights the role of technology, not human contribution, especially in the AI industry.
“This human labour is often obscured as “corporate communication highlights the role of technology, not human contribution, especially in the AI industry” (Tubaro 2021, 939;along similar lines, Newlands 2021a, b).”
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- cites Newlands 2021a, b
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Workers are put at the mercy of processes they have little control or recourse over.
“Workers are put at the mercy of processes they have little control or recourse over (Loi et al. 2020, Veen et al., 2020;Purcell and Brook 2020;Joyce and Stuart 2021).”
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- cites Purcell and Brook 2020
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- cites Joyce and Stuart 2021
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- Interpretationreasoning
Surveillance-induced pressure on workers can have severe and long-term impact on well-being.
“This can have severe and long-term impact on well-being.”
Quote in the paperSubstantial claim - Premisecitation
Micro-tasking crowdwork can be hugely injurious on emotional and mental health, for instance for workers screening violent content.
“Micro-tasking crowdwork can be hugely injurious on emotional and mental health (Hermosillo and Deng 2021), for instance for workers screening violent content.”
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- Interpretationreasoning
Workers are left to their own devices in many gig environments.
“Workers are left to their own devices in many gig environments.”
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Algorithm-based decisions emerge as from a black box or magic box.
“Algorithm-based decisions emerge as from a “black box” (Pasquale 2015) or “magic box” (Thomas et al. 2018).”
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One aspect of the struggle concerns the control of the supply chains and production factors behind the manufacturing of semiconductors.
“One aspect of the struggle concerns the control of the supply chains and production factors behind the manufacturing of semiconductors (Hwang 2018).”
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Findingnone givenCrowdwork and app-work are so far not widespread employment models.
“or crowdwork and app-work become widespread employment models (so far they are not)”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationAI works by processing large amounts of data to identify patterns.
“AI works by processing large amounts of data to identify patterns (Van Rijmenam 2019).”
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InterpretationcitationAI development is stoked by an alliance of corporate and military interests: economic competition is one aspect of the battle for geopolitical hegemony, and military supremacy serves to ensure economic prosperity in competition with other nations.
“AI development is stoked by an alliance of corporate and military interests: economic competition is one aspect of the battle for geopolitical hegemony, and military supremacy serves to ensure economic prosperity in competition with other nations (Hwang 2018 for the geopolitics of controlling semiconductors manufacturing and AI patents).”
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PremisecitationPrevious waves of automation propelled by advances in information and communication technology were biased in favor of workers with higher skills, replacing lower skill workers and assisting workers with pre-existing complex skill sets.
“It is well established that previous waves of automation propelled by advances in information and communication technology were biased in favor of workers with higher skills, replacing lower skill workers and assisting workers with pre-existing complex skill sets (Acemoglu and Autor 2011, Göranzon and Josefson 2012, Buera et al. 2015, Mellacher and Scheuer 2020).”
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- cites Buera et al. 2015
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Premisenone givenAI is introduced in workplaces for increased efficiency in some technical aspect of the work process, or explicitly to replace human workers and reduce labour costs.
“AI is introduced in workplaces for increased efficiency in some technical aspect of the work process, or it is introduced explicitly with the aim of replacing human workers and thereby reduce labour costs.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationAI has benefited from investment by companies hoping to cut labour and transaction costs, increase outputs, raise productivity, manage workforce, refine customer knowledge, and establish monopoly positions.
“AI has benefited from investment by companies that hope to find in it a new avenue for cutting costs, notably labour (Bessen et al. 2018) and transaction costs (Gurkaynak 2019; Lobel 2018), increasing outputs through rationalization of the production process (Acemoglu and Restrepo 2019), raising productivity (Brynjolfsson et al. 2019), managing the workforce in more efficient ways (Eubanks 2022),”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Bessen et al. 2018
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- cites Gurkaynak 2019
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- cites Acemoglu and Restrepo 2019 source
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Premisenone givenDigital innovation, like all modern technology, has its own momentum.
“Digital innovation, like all modern technology, certainly has its own momentum, yet it is not sufficient to refer to advances in theoretical knowledge and technical improvements alone to explain the actual paths it travels and the forms it takes.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningAI did not emerge and is not being deployed in an economic or political void.
“This means that AI did not emerge and is not being deployed in an economic or a political void.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenA 2020 McKinsey report evaluates the annual value increase of AI in the banking industry at $1 trillion, or 15.4% of sales.
“A 2020 McKinsey reports evaluates the annual value increase of AI in the banking industry at $1 trillion, or 15.4% of sales.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe history of automation to date demonstrates that new technologies so far have consistently created new jobs, both directly and indirectly.
“The history of automation to date demonstrates that new technologies so far have consistently created new jobs, both directly and indirectly (David 1990).”
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InterpretationreasoningThe creation of new tasks is a key component of the labour economists' arguments against universal technological unemployment.
“The creation of new tasks is a key component of the labour economists' arguments against universal technological unemployment.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationComparable innovation effects are expected in other industries where the innovation process is inseparable from the research process.
“Comparable innovation effects are expected in other industries where the innovation process is inseparable from the research process (Cockburn et al. 2019).”
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PremisecitationFrey and Osborne predict that 47% of all jobs within the U.S. are at risk of technological replacement within two decades.
“The two business scholars famously predict that 47% of all jobs within the U.S. are at risk of technological replacement within two decades.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Frey and Osborne 2017 source
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PremisecitationErnst et al. (2019) conclude that AI is likely to play out in ways different from previous waves, by increasing productivity and potentially creating more inclusive growth, provided correct educational measures are taken in countries that are part of globalised labour chains.
“In an important review of the literature, which combines a historical approach with a task-focused one, Ernst et al. (2019) conclude that AI in fact is likely to play out in ways different from previous waves, by increasing productivity and potentially creating more inclusive growth, provided correct educational measures are taken in countries that are part of globalised labour chains.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Ernst et al. 2019 source
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PremisecitationA 2018 World Economic Forum study predicts that automation will result in a net increase of 58 million jobs, with 133 million new roles created and 75 million current workers displaced.
“A 2018 study by the World Economic Forum (2018) predicts that automation will result in a net increase of 58 million jobs, with a total 133 million new roles created and 75 million current workers displaced.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites World Economic Forum 2018
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PremisecitationAI is viewed by many business experts as a technology that can spur innovation and provide competitive advantage.
“AI is viewed by many business experts as a technology that can spur innovation and provide competitive advantage (Davenport 2018; Polak et al. 2020 for the finance sector).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Davenport 2018
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PremisecitationFrey and Osborne's predictions were refuted by Arntz et al. (2016), who found much lower outcomes, around 9% across the OECD, with a high of 12% in Austria and as low as 6% in South Korea.
“Using this approach, Frey and Osborne's earth-shaking predictions on the impact of AI was refuted by Arntz et al. (2016).”
- Also stated in: § 3.2.2 Optimistic scenarios · plain
“With this new method, they found evidence for much lower outcomes, around 9% across the OECD (a high of 12% in Austria) and as low as 6% in South Korea.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Arntz et al. 2016
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PremisecitationAnother trend widely anticipated is the polarisation of labour markets, similar to what occurred in the previous wave of automation.
“Beside displacement, another trend widely anticipated is the polarisation of labour markets (Brito 2020;Korinek and Stiglitz 2019), similar to what occurred in the previous wave of automation”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Brito 2020
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- cites Korinek and Stiglitz 2019
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PremisecitationBowles claims that 54% of jobs in the EU and USA were under threat in the same time span.
“Using a similar approach, Bowles arrived at an even higher figure, claiming that 54% of jobs in the EU and USA were under threat in the same time span (Bowles 2014).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Bowles 2014
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PremisecitationA key Manpower survey in 2017 showed that managers in some countries expected to substitute workers for machines, while others expected AI to increase hiring; overall the survey demonstrated optimism.
“A key Manpower survey in 2017 (ManpowerGroup 2017) provided interesting figures, with managers in some countries expecting to substitute workers for machines, whilst others expected AI to increase hiring.Overall, the survey demonstrated optimism (also ServiceNow 2017).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites ManpowerGroup 2017
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PremisecitationGillham et al. estimate that global GDP would increase by 14% by 2030, an equivalent of up to $15.7 trillion.
“Gillham et al. (2018) in a PWC report estimate that global GDP would increase by 14% by 2030, an equivalent of up to $15.7 trillion.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Gillham et al. 2018
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PremisecitationFelten et al. developed a model for how computerisation and specific AI functions can affect activities making up occupations, and they land on more measured conclusions.
“In another noteworthy approach, Princeton computer expert Edward Felten and his colleagues developed a model for how computerisation and specific AI functions can affect the activities making up particular occupations.They also land on more measured conclusions (Felten et al. 2018(Felten et al. , 2019(Felten et al. , 2021)).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Felten et al. 2018
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- cites Felten et al. 2021
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PremisecitationHuman skills can be complemented rather than copied by automated processes, with machines taking charge of routine aspects of the job.
“Finally, human skills can be complemented rather than copied by automated processes, with machines taking charge of the routine aspects of the job (Autor 2014;Brooks et al. 2020;Alarie et al. 2018;Ekbia and Nardi 2017).”
Quote in the paperSubstantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S1 (asserted), S3 (load-bearing).
PremisecitationMany economists and technology experts contend that AI will substitute for human work at such a scale that social-economic organisations will be shaken to the ground.
“Many economists and technology experts contend that AI will substitute for human work at such a scale that socialeconomic organisations will be shaken to the ground as a result.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Danaher 2019
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PremisecitationPurdy and Daugherty estimate that AI has the potential to increase labor productivity across the board by up to 40% in 2035.
“Purdy and Daugherty in a 2016 Accenture report (Accenture 2016) estimate that AI has the potential to increase labor productivity across the board by up to 40% in 2035.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Accenture 2016
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PremisecitationMany economists, historians, business scholars and executives reject pessimistic visions of massive technological unemployment.
“Many economists, historians, business scholars and executives reject such pessimistic visions of massive technological unemployment (Moghaddam et al. 2020).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Moghaddam et al. 2020
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PremisecitationAnother macro-economic argument highlighted by Autor (2015) is captured in the image of the O-ring.
“Another macro-economic argument highlighted by Autor (2015) is captured in the image of the O-ring.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Autor 2015
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PremisecitationBughin (2020) concludes that labor redistribution will occur.
“Via a questionnaire targeting 3000 companies, Bughin (2020) concludes that labor redistribution will occur.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Bughin 2020
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PremisecitationThe ILO has published many reports on the future of work, which tend to be cautiously optimistic.
“The ILO has published many reports on the future of work, which tend to be cautiously optimistic (for instance ILO 2018).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites ILO 2018
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Premisenone givenIn the pharmaceutical industry, AI is already used to spur innovation in mapping rare diseases, predicting pharmaceutical properties, and identifying new therapeutic uses.
“In the pharmaceutical industry, AI is already used to spur innovation in a number of ways: for instance, to cite just three platforms, by mapping rare diseases (BERG platform); predicting the pharmaceutical properties of small-molecule candidates for drug development (XtalPi's ID4 platform); or identifying new therapeutic uses for already validated products (BioXel).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationNedelkoska and Quintini estimate that 14% of jobs are highly automatable (probability over 70%) and 32% have a risk between 50 and 70%.
“In a multi-country approach covering 32 nations, Nedelkoska and Quintini (2018) estimate that 14% of jobs are highly automatable (probability of automation over 70%), 32% have a risk of between 50 and 70%.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Nedelkoska and Quintini 2018
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PremisecitationAcemoglu and Restrepo summarise four logics associated with the productivity effect: (1) rise in demand for labor follows from economic growth triggered by innovation; (2) demand for labour can increase because automation triggers increased demand for capital; (3) automation can deepen existing automation, increasing productivity without substituting labour; (4) AI automation creates new tasks.
“In their contribution to The Economics of Artificial Intelligence (2017) Acemoglu and Restrepo summarise in plain terms the complex logics associated with the productivity effect.First, as noted, there is a rise in the demand for labor that follows automatically from economic growth triggered by innovation.In theory the demand for labour can be witnessed even in sectors where automation occurred.”
- Also stated in: § 3.2.2 Optimistic scenarios · plain
“Second, demand for labour can increase because automation triggers increased demand for capital.Third, automation can deepen existing automation, which increases productivity without substituting labour (since it is machines that are improved).And fourthly, and most importantly, AI automation creates new tasks.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Acemoglu and Restrepo 2017
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PremisecitationProductivity has been stagnant in developed economies over the past seventy years, with growth per decade decreasing from 2.3% in the 1950s to 1.8% in the 2010s.
“It is a well-known fact that productivity has been stagnant in developed economies over the past seventy years, with growth per decade decreasing from 2.3% in the 1950s, to 1.8% in the 2010s (Gries and Naudé 2018).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Gries and Naudé 2018
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PremisecitationNew technology creates entirely new jobs.
“New technology creates entirely new jobs (Wilson et al. 2017).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Wilson et al. 2017
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PremisecitationA major use of technology is to bypass labour forces when they are well organized and push back effectively against capital imperatives.
“A major use of technology is to bypass labour forces when they are well organized and push back effectively against capital imperatives (Mueller 2021).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Mueller 2021
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InterpretationreasoningAt the macro-level, the factors involved in economic reality across different contexts are so numerous and variable that significant unpredictability in how AI might complement rather than replace human work should be assumed.
“At the macro-level, the factors involved in economic reality across different context are so numerous and variable, one would assume significant unpredictability in how AI might complement rather than replace human work.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationOn some accounts, this multiplier effect might even be felt in manufacturing industries servicing automated factories.
“On some accounts, this effect might even be felt in manufacturing industries servicing automated factories (Goos et al. 2015).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Goos et al. 2015
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PremisecitationStrict property rules mean that technological innovation is exclusively owned, put to use, and the outcomes of its productivity-raising potentials captured, by private owners.
“Strict property rules mean that technological innovation is exclusively owned, put to use, and the outcomes of its productivity-raising potentials captured, by private owners.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Nieswandt 2021
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InterpretationcitationIn a world prone to climate crisis, the environmental impact of AI might well constrain its deployment, at least if sustainability becomes a serious parameter in economic activity.
“Similarly, in a world prone to climate crisis, the environmental impact of AI (Corbett 2018;Dhar 2020;Lucivero 2020;Strubell et al. 2020; van Wynsberghe 2021) might well constrain its deployment, at least if sustainability becomes a serious parameter in economic activity (Nishant et al. 2020 for a contrary optimistic view).”
Quote in the paperNot a substantial claim0 of 3 sources checkedMay combine two claims.
Interpretationnone givenMethods that rely on case studies only inform on a particular job or occupation at a particular time and place, and there are methodological risks in generalising from particular cases.
“Similarly, methods that rely on case studies only inform on a particular job or occupation at a particular time and place, and there are methodological risks in generalising from particular cases.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationThe capitalist imperative means that the deployment of technologies in a capitalist context is guided exclusively by the search for profit.
“The capitalist imperative means that the deployment of technologies in a capitalist context is guided exclusively by the search for profit.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Nieswandt 2021
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InterpretationreasoningThe absence of technological unemployment is nothing to celebrate because it coincides with higher levels of precariousness, underemployment and exploitation.
“The absence of technological unemployment is in itself nothing to celebrate though, as it coincides with higher levels of precariousness, underemployment and exploitation.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationEven in the last decade, productivity growth slowed significantly.
“Even in the last decade, productivity growth slowed significantly (Brynjolfsson et al. 2019).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Brynjolfsson et al. 2019
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PremisecitationSurplus value can be extracted just as well from human workers.
“Surplus value can be extracted just as well from human workers (Dinerstein 2021).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Dinerstein 2021 source
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PremisecitationPrivate property in the means of production and the profit motive make it unlikely that AI-based automation will lead to massive job losses.
“Drawing on Cohen's classical reconstruction of historical materialism (2000), Barbara Nieswandt (2021) shows that private property in the means of production and the profit motive make it unlikely that AI-based automation will lead to massive job losses.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Nieswandt 2021
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Interpretationnone givenMany jobs are actually more difficult to perform than is often assumed.
“This is true not only for technical reasons, because many jobs are actually more difficult to perform than is often assumed, but also for economic ones: as De Stefano makes the case (2020), assuming that automation necessarily increases productivity might in some cases be based on an overly narrow view of the tasks automated and on erroneous measures of efficiency.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
InterpretationreasoningThe models appear to describe mathematically consistent worlds, but it is less clear that they describe our messy world or the future.
“The models appear to describe mathematically consistent worlds, but it is less clear that they describe our messy one, let alone what it might be in the future.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationOvercapacity in manufacturing and agriculture leads to an exodus of workers towards service and care sectors, where productivity is achieved through wage suppression and depreciation of working conditions.
“Overcapacity in manufacturing and agriculture leads to an exodus of workers towards service and care sectors, where productivity is achieved through wage suppression and depreciation of working conditions.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Benanav 2020
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- cites Smith 2020
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PremisecitationThe impact of technology on employment is not deterministic; the deployment of new technologies is contingent upon a multitude of factors, including public policy, firm strategy and geography.
“an important review by Clifton et al. (2020, 11) highlights that, “the impact of technology on employment is not deterministic-the deployment of these new technologies is contingent upon a multitude of factors, including public policy, firm strategy and geography, among others.””
Quote in the paperSubstantial claim0 of 1 sources checked- cites Clifton et al. 2020
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InterpretationreasoningMethods used to predict labour-market trajectories deliver substantial lessons for understanding past trends but are far less convincing for future ones.
“For the external observer, these methods seem to deliver substantial lessons for understanding past trends, but are far less convincing when it comes to future ones.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
InterpretationreasoningThe frequency with which mathematical models are revised, with new parameters and axiomatic hypotheses in each new paper, creates a gap between the assurance of conclusions stated in plain English and the ability of the models to capture reality.
“The frequency with which the mathematical models are revised, with new parameters and axiomatic hypotheses being introduced in each new paper, gives the non-spe-cialist the sense that there is a gap between the assurance with which conclusions are stated in plain English and the ability of the models to capture reality, notably given the number of idealizing assumptions underpinning the analyses.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationLabour's current deficiency in power compared to capital's means that automation is bounded.
“Labour's current deficiency in power compared to capital's means that automation is “bounded”.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Fleming 2019 source
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InterpretationcitationAI needs data regarding workers' skill, time use, and behavior, which in turn makes worker monitoring a necessity.
“AI needs data regarding workers' skill, time use, and behavior, which in turn makes worker monitoring a necessity.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningThese new occupations come with low wages, precarious working conditions and tenure, and uncertain hours.
“These new occupations come with low wages, precarious working conditions and tenure and uncertain hours.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
InterpretationreasoningGiven the other tools capitalists possess to ensure the exploitation of workers, the search for profit is better served by increasing output than job churn, so there is no incentive to shed jobs.
“Given the other tools capitalists possess to ensure the exploitation of workers, the search for profit is better served by increasing output than job churn, which means that there is no incentive to shed jobs.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningWhen human labour is relatively cheap, there is no incentive for capital to invest and deploy expensive technologies.
“When human labour is relatively cheap, there is no incentive for capital to invest and deploy expensive technologies.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningAutomation triggers employment in new service sectors, even a return to older forms of dependent labour.
“This triggers employment in new service sectors, even a return to older forms of dependent labour.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationIn the O-ring model, failure of any one step in the chain of production leads the entire production process to fail; improvements in reliability of any link increase the value of improvements in all others.
“In the O-ring model, failure of any one step in the chain of production leads the entire production process to fail.Conversely, improvements in the reliability of any given link increase the value of improvements in all of the others.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Kremer 1993
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InterpretationcitationIf needs, tasks and jobs will be new, it is difficult to guess what they might be, let alone capture them in models premised on existing job profiles and descriptions of tasks in currently existing occupations.
“By definition, the lay reader is tempted to say, if needs, tasks and jobs will be new, it seems difficult to guess what they might be, let alone capture them in models premised on existing job profiles, and on the descriptions of the tasks entailed in currently existing occupations (see the 2018 ILO literature review for precisely this point; also Arntz et al. 2019).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites ILO 2018
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- cites Arntz et al. 2019
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PremisecitationMarx-inspired analyses of technological unemployment are supported by historians who contradict optimistic readings like Mokyr's and emphasise the slowing down of innovation under financial capitalism, where profit maximisation occurs through speculation rather than changes in industrial paradigms.
“These Marx-inspired analyses of technological unemployment are supported by the analyses of historians who directly contradict optimistic readings like Mokyr's, and emphasise the slowing down of innovation under financial capitalism, where profit maximisation occurs through speculation rather than changes in industrial paradigms (Gordon 2014(Gordon , 2015)).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Gordon 2014
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- cites Gordon 2015 source
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PremisecitationAlgorithmic management raises issues of privacy, not just at the workplace but also at home, notably following the pandemic-induced shift to home-based working.
“Surveillance and control: algorithmic management raises obvious issues of privacy (Bhave et al. 2020;Ebert et al. 2021;Fukumura et al. 2021;Tsamados et al. 2022), not just at the workplace, but also at home, notably following the pandemic-induced shift to home-based working (Collins 2020).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Bhave et al. 2020
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- cites Ebert et al. 2021 source
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- cites Collins 2020
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Interpretationnone givenAI gathers and processes data in ways that are often hidden from workers, leading to decisions made in ways which humans cannot, or at least cannot quickly or efficiently, process.
“AI also gathers and processes data in ways that are often hidden from workers, leading to decisions made in ways which humans cannot, or at least cannot quickly or efficiently, process.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenThe power of AI for gathering and processing vast amounts of data can be harnessed in traditional work settings where employees are hired under work arrangements and labour contracts predating AI automation.
“The power of AI for gathering and processing vast amounts of data can be harnessed in traditional work settings where employees are hired under work arrangements and labour contracts predating AI automation.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningWhat can in some conditions amount to an increase in autonomy can also mean a lack of training, notably around OHS issues.
“But what can in some conditions amount to an increase in autonomy can also mean a lack of training, notably around OHS issues.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
InterpretationreasoningThe computational power of AI allows it to function not just as a new industrial tool within pre-existing work processes, but also as the centerpiece of a new business model that radically alters modes of working, conditions of employment, and interactions of workers with management and customers.
“However, the computational power of AI allows it to function not just as a new industrial tool within pre-existing work processes.It also becomes the centerpiece of a new business model that radically alters modes of working, as well as the conditions of employment and the interactions of workers with management and customers.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationOther battles are about the right to privacy of workers and the development of regulatory frameworks to give an ethical frame to AI development.
“Other battles are about the right to privacy of workers (De Stefano 2020 for Europe) and the development of regulatory frameworks to give an ethical frame to AI development (Salento 2018).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites De Stefano 2020
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- cites Salento 2018 source
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PremisecitationVallas and Schor conclude that power asymmetry rather than horizontal democracy has so far been the experience of workers.
“Vallas and Schor reference a large number of studies on working conditions for appworkers (see the more recent Moore and Woodstock 2021), and conclude that power asymmetry rather than horizontal democracy has so far been the experience of workers.”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
PremisecitationWorkers are managed and directed through reasons they are not provided with, preventing collaborative or even consultative leadership styles and substituting a directive or even coercive one in its place.
“Workers are managed and directed through reasons they are not provided with, preventing collaborative or even consultative leadership styles, substituting a directive or even coercive one in its place (Dunphy and Stace 1993).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Dunphy and Stace 1993 source
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Classified as probably not a substantial claim. May combine two claims.
PremisecitationMany platform workers use the work to complement income, and precarisation through platform work is far from a universal trend.
“Vallas and Schor reject an assumed view of platform workers that is overly homogeneous.Many platform workers in fact use the work to complement income, precarisation through platform is far from a universal trend.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Vallas and Schor 2020 source
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PremisecitationSurveillance can lead to increased pressure on workers to perform, taking away moments of respite, as is well documented in warehouse and platform work.
“Surveillance can lead to increased pressure on workers to perform, taking away moments of respite, as is well documented in warehouse (Hanley and Hubbard 2020) and platform work (Newlands 2021a, b).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Hanley and Hubbard 2020
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- cites Newlands 2021a, b
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PremisecitationA lot of crowdwork and gigwork is highly flexible, has non-regular hours, which can have a negative impact on work-life balance and affect physical and mental health and personal relations.
“A lot of crowdwork and gigwork is highly flexible, has non-regular hours, which can have a negative impact on work-life balance and affect physical and mental health and personal relations as a result (Muntaner 2018;Allan et al. 2021).”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThe immense gap between ideal-scenario policy propositions and economic and political reality points to the need for another kind of approach, one that focuses on what makes AI developments doubtful, at least in the short term.
“Ideal-scenario policy recommendations might have their usefulness, but the immense gap between the propositions and economic and political reality points to the need for another kind of approach, one that focuses precisely on what makes these developments of AI doubtful, at least in the short term.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationnone givenPrivacy infringements can occur at all stages of the data cycle: at the time of collection, in the analysis of the data, in the use of the data, and when data ought to be erased.
“Privacy infringements can occur at all stages of the data cycle: at the time of collection, in the analysis of the data, in the use of the data, and when data ought to be erased.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
Interpretationnone givenManagement by AI is by definition about removing the human element from the decision-making process.
“Management by AI is by definition about removing the human element from the decision-making process.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenService work for an Uber driver is far less scripted than service work in more traditional settings.
“Service work for an Uber driver for instance is far less scripted than service work in more traditional settings.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThe company appears to be absolved of its responsibilities, removing existing avenues through which workers understand and demand these responsibilities are met.
“The company appears to be absolved of its responsibilities, removing existing avenues through which workers understand and demand these responsibilities are met.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.
Interpretationnone givenSusskind's proposal is detailed and seems consistent, but it is utterly unrealistic in current ideological and geopolitical conditions, particularly in the few countries spearheading AI innovation.
“As a blueprint, Susskind's proposal is detailed and seems consistent, but it is utterly unrealistic in current ideological and geopolitical conditions, particularly in the few countries spearheading AI innovation.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
Interpretationnone givenFlexible hours might also be viewed as increased autonomy.
“Flexible hours might also be viewed as increased autonomy.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationcitationIf AI deployment causes significant technological unemployment, wealth polarisation, or widespread crowdwork and app-work, bringing further precariousness in employment conditions, then the impact on current social organisations will be significant.
“If, as a result of AI deployment in work, technological unemployment does occur at a significant scale, or wealth polarisation, or crowdwork and app-work become widespread employment models (so far they are not), bringing further precariousness in employment conditions, then the impact on current social organisations will be significant (Acemoglu and Restrepo 2020b).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Acemoglu and Restrepo 2020b
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PremisecitationBreaches of privacy touch on a fundamental human right and also represent a strong leverage tool for managers, with which they can exert control and undermine autonomy.
“Breaches of privacy touch on a fundamental human right, but they also represent a strong leverage tool for managers, with which they can exert control and undermine autonomy (Shapiro 2018).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Shapiro 2018 source
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May combine two claims.
InterpretationreasoningDifferent types of platform workers operate under different conditions and have vastly different experiences.
“Different types of workers operate under different conditions and have vastly different experiences.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone givenCurrent social systems continue to be organised on the basis of full-time employment in jobs attracting good wages as the condition for the complete enjoyment of social and economic rights, including full health and pension coverage.
“This is because current social systems continue to be organised on the basis of full-time employment in jobs attracting good wages as the condition for the complete enjoyment of social and economic rights, including full health and pension coverage.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenThe view of platforms as a new form of Weberian iron cage underestimates the capacity of platform workers to evade control, resist and organise.
“However, this view of platforms underestimates the capacity of platform workers to evade control, resist and organise.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
Interpretationnone givenWhat is at stake is the clash between the two imperatives noted at the outset and the plausibility of a 'good AI', or 'AI for good'.
“What is at stake is the clash between the two imperatives noted at the outset and the plausibility of a “good AI”, or “AI for good”.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThe heterogeneity of the workforce exists also in the locations of workers, who are scattered around regions and even around the world, creating isolation and preventing organisation for collective action.
“The heterogeneity of the workforce exists also in the locations of the workers, who are scattered around regions, and even around the world.This creates isolation and again prevents organisation for collective action.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
Interpretationnone givenMicro-tasking crowdwork goes to the heart of AI.
“One aspect of crowdwork that is worth highlighting is micro-tasking crowdwork that goes to the heart of AI.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
InterpretationcitationIt is impossible to make overly general statements about platform work.
“A key lesson from the sociology of work perspective is that it is impossible to make overly general statements about platform work (Schor et al. 2020).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Schor et al. 2020 source
Not checked in the free run.
May combine two claims.
InterpretationreasoningOne feature of the relaxation of management control is the heterogeneity of the workforce, which acts against organisation.
“One feature of this relaxation of management control, is the heterogeneity of the workforce this produces, which acts against organisation.”
Quote in the paperSubstantial claimMay combine two claims.
Premisenone givenOne major battle concerns the legal status of gig workers, whether platforms can divest themselves of all responsibilities regarding the people they employ.
“One major battle concerns the legal status of gig workers, whether platforms can divest themselves of all responsibilities regarding the people they employ.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenAI can also complement work in some professions, notably by taking away the routine aspects of the job, allowing workers to focus on the more creative or rewarding parts of the work.
“By the same token, however, AI can also complement work in some professions, notably by taking away the routine aspects of the job.Workers then focus on the more creative, or rewarding parts of the work.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningGiven the rhetoric used by the main actors, it is difficult to see ethical considerations having much sway for some of the possible extensions of AI.
“Given the rhetoric used by the main actors, it is difficult to see ethical considerations having much sway for some of the possible extensions of AI.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenOne might be skeptical of the willingness of states to enforce principles of 'good AI' when they are engaged in high stakes contests over geopolitical hegemony.
“Regarding the nationalist imperative, one might be skeptical of the willingness of states to enforce principles of “good AI” when they are engaged in high stakes contests over geopolitical hegemony.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningAI does not by itself determine 'good' nor 'bad' outcomes for the world of work; rather, what matters is the kind of world in which AI will be developed and deployed.
“What these extraneous, economic and political, parameters indicate is that AI does not by itself determine 'good' nor 'bad' outcomes for the world of work.Rather, what matters is the kind of world in which AI will be developed and deployed.”
Quote in the paperNot a substantial claim
The authors state this as an assumption.
Scientific inquiries are inextricably tied to the historical context in which they occur.
“The core assumption this question captures is that scientific inquiries are inextricably tied to the historical context in which they occur.”
The paper relies on this without support.
Knowledge claims reflect social and political fault lines, whether researchers are aware of it or not.
“Whether they are aware of it or not, knowledge claims reflect social and political fault lines.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Researchers in the field of AI and work, in their optimistic scenarios, expect a shift in tasks, the creation of new tasks and an emergence of new work profiles rather than the replacement of workers.
“They share this expectation with researchers in the field of AI and work, who in their optimistic scenarios expect a shift in tasks, the creation of new tasks and an emergence of new work profiles rather than the replacement of workers (Deranty and Corbin 2022).”
From Friend or foe? Exploring the implications of large language models on the science system (2025) · cites this paper as Deranty and Corbin 2022
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Section roadmap is shifted by one section
MinorThe roadmap places technological unemployment in Section 2, but the paper labels it Section 3. It likewise places algorithmic management and platform work in Sections 3 and 4, while their headings label them Sections 4 and 5.
“In Sect.2, we focus on issues of technological unemployment.Section 3 is about algorithmic management.Section 4 is dedicated to platform work.”
“## 3 Technological unemployment”
Technological-unemployment subsection references use the wrong numbers
MinorThe introduction to Section 3 points readers to subsections 2.1 and 2.2, but the relevant subsections are numbered 3.1 and 3.2.
“Debates about the impact of AI on employment revolve around its predicted quantitative impact, how much AI is likely to lead to machines replacing humans in work (2.2).This issue, however, depends on an understanding of the types of work activities AI is likely to perform, which in turn relies on assumptions about the skills involved in the tasks making up different types of jobs (2.1).”
“## 3.2 Substituting, complementing, or creating human work”
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What Do Platforms Do? Understanding the Gig Economy
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The Problem with Work: Feminism, Marxism, Antiwork Politics, and Postwork Imaginaries
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Labour process theory and the gig economy
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The carbon impact of artificial intelligence
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Algorithmic bias in data-driven innovation in the age of AI
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“Surveillance can lead to increased pressure on workers to perform, taking away moments of respite, as is well documented in warehouse (Hanley and Hubbard 2020) and platform work (Newlands 2021a, b).”
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“AI is viewed by many business experts as a technology that can spur innovation and provide competitive advantage (Davenport 2018; Polak et al. 2020 for the finance sector).”
Economics of Artificial Intelligence: Implications for the Future of Work
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Artificial Intelligence and the Modern Productivity Paradox
Brynjolfsson, E., Rock, D., & Syverson, C. (2019) · University of Chicago Press eBooks · doi:10.7208/chicago/9780226613475.003.0001 · Cited by 387 · see citing works
The ethics of algorithms: key problems and solutions
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Assessing risk, automating racism
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The Invisible Cage: Workers’ Reactivity to Opaque Algorithmic Evaluations
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“• Rahman, H. A. (2021). The invisible cage: Workers’ reactivity to opaque algorithmic evaluations.”
Secular Stagnation: A Supply-Side View
Gordon, R. J. (2015) · American Economic Review · doi:10.1257/aer.p20151102 · Cited by 374 · cited 1× · see citing works
“…are supported by the analyses of historians who directly contradict optimistic readings like Mokyr’s, and emphasise the slowing down of innovation under financial capitalism, where profit maximisation occurs through speculation rather than changes in industrial paradigms (Gordon 2014, 2015).”
Between autonomy and control: Strategies of arbitrage in the “on-demand” economy
Shapiro, A. (2018) · New Media & Society · doi:10.1177/1461444817738236 · Cited by 374 · cited 1× · see citing works
“Breaches of privacy touch on a fundamental human right, but they also represent a strong leverage tool for managers, with which they can exert control and undermine autonomy (Shapiro 2018).”
The Strategic Management of Corporate Change
Dunphy, D., & Stace, D. (1993) · Human Relations · doi:10.1177/001872679304600801 · Cited by 371 · cited 1× · see citing works
“Workers are managed and directed through reasons they are not provided with, preventing collaborative or even consultative leadership styles, substituting a directive or even coercive one in its place (Dunphy and Stace 1993).”
The Challenges of Algorithm-Based HR Decision-Making for Personal Integrity
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“Algorithmic management, therefore, makes a unique demand for the “blind trust” of workers (Leicht-Deobald et al. 2019).”
Breaking the vicious cycle of algorithmic management: A virtue ethics approach to people analytics
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“The more data are fed into AI processes, the more effective its use (Gal et al. 2020; Ebert et al. 2021).”
Low-Skill and High-Skill Automation
Acemoğlu, D., & Restrepo, P. (2018) · Journal of Human Capital · doi:10.1086/697242 · Cited by 327 · cited 1× · see citing works
“As a result, labour economists, notably Acemoglu, Autor and Restrepo, highlight AI’s relationship to “high skill automa-tion” (Acemoglu and Restrepo 2018a, b), which compounds the exposure to automation of “higher skill” jobs.”
Polanyi's Paradox and the Shape of Employment Growth
Autor, D. (2014) · doi:10.3386/w20485 · Cited by 323 · cited 1× · see citing works
“Finally, human skills can be complemented rather than copied by automated processes, with machines taking charge of the routine aspects of the job (Autor 2014; Brooks et al. 2020; Alarie et al. 2018; Ekbia and Nardi 2017).”
Attewell, P. A. (1990) · Work and Occupations · doi:10.1177/0730888490017004003 · Cited by 321 · cited 1× · see citing works
“Attewell (1990) and Spen-ner (1990) show well the range of possible meanings, and how the intuitive appeal of a notion like “unskilled” work in fact is anything but evident, how evaluation of “skillful-ness” can shift depending on the perspective taken.”
Robots and organization studies: Why robots might not want to steal your job
Fleming, P. (2019) · Organization Studies · doi:10.1177/0170840618765568 · Cited by 297 · cited 1× · see citing works
“This argument is confirmed by Fleming through his focus on power in organisations (Fleming 2019).”
Heteromation, and Other Stories of Computing and Capitalism
Ekbia, H. R., & Nardi, B. A. (2017) · doi:10.7551/mitpress/10767.001.0001 · Cited by 285 · cited 1× · see citing works
“Finally, human skills can be complemented rather than copied by automated processes, with machines taking charge of the routine aspects of the job (Autor 2014; Brooks et al. 2020; Alarie et al. 2018; Ekbia and Nardi 2017).”
Digital innovation and the fourth industrial revolution: epochal social changes?
Caruso, L. (2017) · AI & Society · doi:10.1007/s00146-017-0736-1 · Cited by 283 · cited 1× · see citing works
“…many progressive thinkers advocate turning this threat into an opportunity for a radical transformation of social and economic organisation (Caruso 2018), through some version of a basic income (Susskind 2020), leaving behind the modern work ethic (Weeks 2011), indeed harnessing full…”
The Impact of Artificial Intelligence on Innovation
Cockburn, I., Henderson, R. M., & Stern, S. (2019) · University of Chicago Press eBooks · doi:10.7208/chicago/9780226613475.003.0004 · Cited by 274 · see citing works
Regulating Uber: The Politics of the Platform Economy in Europe and the United States
Thelen, K. (2018) · Perspectives on Politics · doi:10.1017/s1537592718001081 · Cited by 264 · cited 1× · see citing works
“…intervening in formal legislative processes through lobbying, challenging legal decisions, mobilising their customer base (Schor and Vallas 2020; Thelen 2018; Collier et al. 2017, 2018), or even directly flexing their digital muscle against cities, regions and even nation states (such as…”
Tubaro, P., Casilli, A. A., & Coville, M. (2020) · Big Data & Society · doi:10.1177/2053951720919776 · Cited by 262 · cited 2× · see citing works
“Empirical research about platform work (Tubaro et al. 2020; Casilli 2019; Tubaro and Casilli 2019) illustrates how difficult it is to keep in view all aspects of it at once.”
Automation and the Future of Work—2
Benanav, A. (2019) · New Left Review · doi:10.64590/unr · Cited by 262 · see citing works
Huang, A., Chao, Y., Velasco, E. D. L. M., Bilgihan, A., & Wei, W. (2021) · Journal of Hospitality and Tourism Insights · doi:10.1108/jhti-01-2021-0021 · Cited by 253 · cited 2× · see citing works
“Algorithmic control of the work process takes away the dimensions of personal intervention, choice and even of creativity (Huang 2021).”
A Method to Link Advances in Artificial Intelligence to Occupational Abilities
Felten, E. W., Raj, M., & Seamans, R. (2018) · AEA Papers and Proceedings · doi:10.1257/pandp.20181021 · Cited by 252 · cited 1× · see citing works
“They also land on more measured conclusions (Felten et al. 2018, 2019, 2021).”
The Demise of U.S. Economic Growth: Restatement, Rebuttal, and Reflections
Gordon, R. J. (2014) · National Bureau of Economic Research · doi:10.3386/w19895 · Cited by 242 · cited 1× · see citing works
“…are supported by the analyses of historians who directly contradict optimistic readings like Mokyr’s, and emphasise the slowing down of innovation under financial capitalism, where profit maximisation occurs through speculation rather than changes in industrial paradigms (Gordon 2014, 2015).”
Fear and hope in an age of mass automation: debating the future of work
Spencer, D. (2018) · New Technology Work and Employment · doi:10.1111/ntwe.12105 · Cited by 235 · cited 1× · see citing works
“A number of authors consider AI specifically as a form of capitalistic innovation, and show that the logic of capitalism dictates that work is a long way from becoming obsolete (Spencer 2018).”
Precarious work in the 21st century: A psychological perspective
Allan, B. A., Autin, K. L., & Wilkins-Yel, K. G. (2021) · Journal of Vocational Behavior · doi:10.1016/j.jvb.2020.103491 · Cited by 231 · cited 1× · see citing works
“A lot of crowdwork and gigwork is highly flexible, has non-regular hours, which can have a negative impact on work–life balance and affect physical and mental health and personal relations as a result (Muntaner 2018; Allan et al. 2021).”
Zhang, D., Pee, L. G., & Cui, L. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102304 · Cited by 228 · cited 1× · see citing works
“Zhang et al. (2021, 4) observed that “human workers’ ability to avoid errors was greatly augmented by AI applications, while the capabilities of AI applications were constantly strengthened based on feedback from human workers.””
Robots, Industry 4.0 and Humans, or Why Assembly Work Is More than Routine Work
Pfeiffer, S. (2016) · Societies · doi:10.3390/soc6020016 · Cited by 224 · cited 1× · see citing works
“Indus-trial sociologists demonstrate through grounded case studies that intuitive assumptions about “routine work” can be deceptive (Pfeiffer 2016).”
Automation: is it really different this time?
Wajcman, J. (2017) · The British Journal of Sociology · doi:10.1111/1468-4446.12239 · Cited by 220 · cited 1× · see citing works
“It has been validated and explored at length in the philosophy of technology (Feenberg 1991, Feenberg 2002, Feenberg 2012 for instance; Wajcman 2017 from a sociology perspective).”
The rise of robots and the fall of routine jobs
de Vries, G. J., Gentile, E., Miroudot, S., & Wacker, K. M. (2020) · Labour Economics · doi:10.1016/j.labeco.2020.101885 · Cited by 219 · cited 1× · see citing works
“…efficient in task-oriented, routine environments where large amounts of data can be analysed to identify patterns, make decisions based on those pattens, and produce solutions or efficiency dividends, for instance within banking and finance industries (Neufeind et al. 2018; De Vries et al. 2020).”
SUBSTITUTION OF GRADUATE BY OTHER LABOUR
Tinbergen, J. (1974) · Kyklos · doi:10.1111/j.1467-6435.1974.tb01903.x · Cited by 210 · see citing works
How artificial intelligence will affect the practice of law
Alarie, B., Niblett, A., & Yoon, A. H. (2018) · University of Toronto Law Journal · doi:10.3138/utlj.2017-0052 · Cited by 207 · see citing works
When food‐delivery platform workers consent to algorithmic management: a Foucauldian perspective
Galière, S. (2020) · New Technology, Work and Employment · doi:10.1111/ntwe.12177 · Cited by 198 · cited 1× · see citing works
“Here, the emphasis is on the different forms of control platforms enjoy in comparison with traditional workplaces, notably through surveillance, monitoring, but also the gamification of work, symbolic rewards and inducements (Galiere 2020; Perrig in Moore and Woodstock 2021).”
Spenner, K. I. (1990) · Work and Occupations · doi:10.1177/0730888490017004002 · Cited by 196 · see citing works
Organisational responses to the ethical issues of artificial intelligence
Stahl, B. C., Antoniou, J., Ryan, M., Macnish, K., & Jiya, T. (2021) · AI & Society · doi:10.1007/s00146-021-01148-6 · Cited by 194 · see citing works
Algorithmic management in food‐delivery platform economy in China
Huang, H. (2022) · New Technology Work and Employment · doi:10.1111/ntwe.12228 · Cited by 190 · see citing works
A Unified Framework of Five Principles for AI in SocietyPreprint
Floridi, L., & Cowls, J. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3831321 · Cited by 183 · see citing works
Disrupting Regulation, Regulating Disruption: The Politics of Uber in the United States
Collier, R. B., Dubal, V. B., & Carter, C. (2018) · Perspectives on Politics · doi:10.1017/s1537592718001093 · Cited by 171 · cited 1× · see citing works
“…in formal legislative processes through lobbying, challenging legal decisions, mobilising their customer base (Schor and Vallas 2020; Thelen 2018; Collier et al. 2017, 2018), or even directly flexing their digital muscle against cities, regions and even nation states (such as Australia in 2021,…”
Frey, C. B. (2019) · Princeton University Press eBooks · doi:10.1515/9780691191959 · Cited by 171 · see citing works
Payne, J. (2000) · Journal of Education Policy · doi:10.1080/02680930050030473 · Cited by 161 · cited 2× · see citing works
“…(Clarke and Winch 2006), particularly after it expanded with the shift from industrial to post-fordist frameworks where a whole array of communicative, social and emotional abilities, as well as personal attributes such as work commitment, were added to traditional craft knowledge (Payne 2000).”
Xie, M., Ding, L., Xia, Y., Guo, J., Pan, J., & Wang, H. (2021) · Economic Modelling · doi:10.1016/j.econmod.2021.01.009 · Cited by 153 · cited 1× · see citing works
“…via a method that uses disaggregated job descriptions in a key survey conducted by the European Union (the European Skills and Jobs Survey, covering 49,000 EU adult workers), a method that allows him to factor in information on skill requirements (for China, Zhou et al. 2020; Xie et al. 2021).”
Artificial Intelligence and Its Implications for Income Distribution and Unemployment
Korinek, A., & Stiglitz, J. E. (2019) · The Economics of Artificial Intelligence · doi:10.7208/chicago/9780226613475.003.0014 · Cited by 149 · cited 1× · see citing works
“Beside displacement, another trend widely anticipated is the polarisation of labour markets (Brito 2020; Korinek and Stiglitz 2019), similar to what occurred in the previous wave of automation (Autor et al. 2008; Goos and Manning 2007; Autor and Dorn 2013; Michaels et al. 2014; Goos et al. 2014;…”
Budd, J. W. (2011) · doi:10.7591/9780801462658 · Cited by 142 · cited 1× · see citing works
“Work is a similarly difficult term to define (Budd 2011).”
Humanly Extended Automation or the Future of Work Seen through Amazon Patents
Delfanti, A., & Frey, B. (2020) · Science Technology & Human Values · doi:10.1177/0162243920943665 · Cited by 139 · cited 1× · see citing works
“And human work can complement machine work, through “humanly extended automation” (Delfanti and Frey 2021).”
Some financial regulatory implications of artificial intelligence
Wall, L. D. (2018) · Journal of Economics and Business · doi:10.1016/j.jeconbus.2018.05.003 · Cited by 138 · cited 1× · see citing works
“For instance, in the context of legal work, JP Morgan Chase uses an AI program called COIN which interprets commercial loan agreements and saves an estimated 360,000 work hours per year (Wall 2018).”
AI and Jobs: Evidence from Online Vacancies
Acemoğlu, D., Autor, D., Hazell, J., & Restrepo, P. (2020) · National Bureau of Economic Research · doi:10.3386/w28257 · Cited by 137 · cited 1× · see citing works
“…first make lists of skills and abilities associated to particular occupations, which they gather from the datasets of national labour offices and other organisations (typically the Burning Glass Labor Insight or the O*Net in the US), or from online job vacancy listings (Acemoglu et al. 2020).”
Digital Platforms, Gig Economy, Precarious Employment, and the Invisible Hand of Social Class
Muntaner, C. (2018) · International Journal of Health Services · doi:10.1177/0020731418801413 · Cited by 136 · cited 1× · see citing works
“A lot of crowdwork and gigwork is highly flexible, has non-regular hours, which can have a negative impact on work–life balance and affect physical and mental health and personal relations as a result (Muntaner 2018; Allan et al. 2021).”
Big Data, Big Waste? A Reflection on the Environmental Sustainability of Big Data Initiatives
Lucivero, F. (2020) · Science and Engineering Ethics · doi:10.1007/s11948-019-00171-7 · Cited by 136 · cited 1× · see citing works
“Similarly, in a world prone to climate crisis, the environmental impact of AI (Corbett 2018; Dhar 2020; Lucivero 2020; Strubell et al. 2020; van Wynsberghe 2021) might well constrain its deployment, at least if sustainability becomes a serious parameter in economic activity (Nishant et al. 2020 for…”
The effect of artificial intelligence on China’s labor market
Zhou, G., Chu, G., Li, L., & Meng, L. (2019) · China Economic Journal · doi:10.1080/17538963.2019.1681201 · Cited by 135 · cited 3× · see citing works
“…via a method that uses disaggregated job descriptions in a key survey conducted by the European Union (the European Skills and Jobs Survey, covering 49,000 EU adult workers), a method that allows him to factor in information on skill requirements (for China, Zhou et al. 2020; Xie et al. 2021).”
Park, H., Ahn, D., Hosanagar, K., & Lee, J. (2021) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445304 · Cited by 131 · cited 1× · see citing works
“Algorithms are widely used, by companies such as Airbnb (Cheng and Foley 2019), Uber (Möhlmann and Henfridsson 2019; Muller 2019; Amorim and Moda 2020), and Amazon (Park et al. 2021; Chesta 2021) in precisely these ways, to manage, direct, recruit, evaluate, and even terminate workers.”
Robots Are Us: Some Economics of Human Replacement
Benzell, S. G., Kotlikoff, L. J., Lagarda, G., & Sachs, J. (2015) · National Bureau of Economic Research · doi:10.3386/w20941 · Cited by 129 · see citing works
Corbett, C. J. (2018) · Production and Operations Management · doi:10.1111/poms.12837 · Cited by 128 · cited 1× · see citing works
“Similarly, in a world prone to climate crisis, the environmental impact of AI (Corbett 2018; Dhar 2020; Lucivero 2020; Strubell et al. 2020; van Wynsberghe 2021) might well constrain its deployment, at least if sustainability becomes a serious parameter in economic activity (Nishant et al. 2020 for…”
Artificial Intelligence, Jobs and the Future of Work: Racing with the Machines
Bruun, E. P. G., & Duka, A. (2018) · Basic Income Studies · doi:10.1515/bis-2018-0018 · Cited by 125 · cited 1× · see citing works
“Since then, many studies, using a variety of methods have added to these anticipations (Benzel et al. 2015; Bruun and Duka 2018; Halal et al. 2017; Schwab 2017; Chessell 2018; Gruetzemacher et al. 2020; Gruetzem-acher et al. 2021).”
A Short Review on the Economics of Artificial Intelligence
Lu, Y., & Zhou, Y. (2019) · Journal of Economic Surveys · doi:10.1111/joes.12422 · Cited by 125 · cited 1× · see citing works
“Behind these fancy terms are mundane economic mechanisms (Lu and Zhou 2021 for a recent review).”
Micro-work, artificial intelligence and the automotive industry
Tubaro, P., & Casilli, A. A. (2019) · Journal of Industrial and Business Economics · doi:10.1007/s40812-019-00121-1 · Cited by 122 · cited 2× · see citing works
“Empirical research about platform work (Tubaro et al. 2020; Casilli 2019; Tubaro and Casilli 2019) illustrates how difficult it is to keep in view all aspects of it at once.”
Discrimination in the age of artificial intelligence
Heinrichs, B. (2021) · AI & Society · doi:10.1007/s00146-021-01192-2 · Cited by 121 · cited 1× · see citing works
“…biases and reproduce discriminatory practices at work, whether the discrimination is built into the algorithms, or management’s use of the algorithm, or as a result of customer’s rating of workers (Noble 2018; Benjamin 2019; Kellogg et al. 2020; Akter et al. 2021; Zajko 2021; Heinrichs 2022).”
A European skills framework?—but what are skills? Anglo‐Saxon versus German concepts
Clarke, L., & Winch, C. A. (2006) · Journal of Education and Work · doi:10.1080/13639080600776870 · Cited by 117 · cited 1× · see citing works
“Researchers in education question the conceptual validity of the concept (Clarke and Winch 2006), particularly after it expanded with the shift from industrial to post-fordist frameworks where a whole array of communicative, social and emotional abilities, as well as personal attributes such as…”
Computational Power and the Social Impact of Artificial IntelligencePreprint
Hwang, T. (2018) · SSRN Electronic Journal · doi:10.2139/ssrn.3147971 · Cited by 107 · cited 3× · see citing works
“As Hwang shows in a landmark study (2018), even though they are taken for granted in most reports, computational power supported by adequate hardware (notably quality microconductors), and energy availability, are basic material conditions of AI systems.”
InfluentialForecasting extreme labor displacement: A survey of AI practitioners
Gruetzemacher, R., Paradice, D., & Lee, K. B. (2020) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2020.120323 · Cited by 105 · cited 1× · see citing works
“Since then, many studies, using a variety of methods have added to these anticipations (Benzel et al. 2015; Bruun and Duka 2018; Halal et al. 2017; Schwab 2017; Chessell 2018; Gruetzemacher et al. 2020; Gruetzem-acher et al. 2021).”
Labor Platforms and Gig Work: The Failure to RegulatePreprint
Collier, R. B., Dubal, V. B., & Carter, C. (2017) · SSRN Electronic Journal · doi:10.2139/ssrn.3039742 · Cited by 103 · cited 1× · see citing works
“…in formal legislative processes through lobbying, challenging legal decisions, mobilising their customer base (Schor and Vallas 2020; Thelen 2018; Collier et al. 2017, 2018), or even directly flexing their digital muscle against cities, regions and even nation states (such as Australia in 2021,…”
Conservative AI and social inequality: conceptualizing alternatives to bias through social theory
Zajko, M. (2021) · AI & Society · doi:10.1007/s00146-021-01153-9 · Cited by 95 · cited 1× · see citing works
“…biases and reproduce discriminatory practices at work, whether the discrimination is built into the algorithms, or management’s use of the algorithm, or as a result of customer’s rating of workers (Noble 2018; Benjamin 2019; Kellogg et al. 2020; Akter et al. 2021; Zajko 2021; Heinrichs 2022).”
Guest Editorial: Business Ethics in the Era of Artificial Intelligence
Haenlein, M., Huang, M., & Kaplan, A. (2022) · Journal of Business Ethics · doi:10.1007/s10551-022-05060-x · Cited by 95 · cited 1× · see citing works
“Haenlein et al. (2022) give the example of a technology such as Status Today , which “can scrutinize staff behavior on a minute-to-minute basis by collecting data on who sends emails to whom at what time, who accesses and edits files, and who meets whom and allows firms to compare such activity…”
Algorithmic management: The case of Airbnb
Cheng, M., & Foley, C. (2019) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2019.04.009 · Cited by 94 · cited 3× · see citing works
“Algorithms are widely used, by companies such as Airbnb (Cheng and Foley 2019), Uber (Möhlmann and Henfridsson 2019; Muller 2019; Amorim and Moda 2020), and Amazon (Park et al. 2021; Chesta 2021) in precisely these ways, to manage, direct, recruit, evaluate, and even terminate workers.”
“Intelligent” finance and treasury management: what we can expect
Polak, P., Nelischer, C., Guo, H., & Robertson, D. C. (2020) · AI & SOCIETY · doi:10.1007/s00146-019-00919-6 · Cited by 91 · cited 1× · see citing works
“AI is viewed by many business experts as a technology that can spur innovation and provide competitive advantage (Davenport 2018; Polak et al. 2020 for the finance sector).”
Military Applications of Artificial Intelligence: Ethical Concerns in an Uncertain World
Morgan, F., Boudreaux, B., Lohn, A. J., et al. (2020) · RAND Corporation eBooks · doi:10.7249/rr3139-1 · Cited by 91 · see citing works
Artificial intelligence in the legal sector: pressures and challenges of transformation
Brooks, C., Gherhes, C., & Vorley, T. (2020) · Cambridge Journal of Regions, Economy and Society · doi:10.1093/cjres/rsz026 · Cited by 87 · cited 1× · see citing works
“Finally, human skills can be complemented rather than copied by automated processes, with machines taking charge of the routine aspects of the job (Autor 2014; Brooks et al. 2020; Alarie et al. 2018; Ekbia and Nardi 2017).”
The race to the top among the world’s leaders in artificial intelligence
Savage, N. (2020) · Nature · doi:10.1038/d41586-020-03409-8 · Cited by 87 · cited 1× · see citing works
“In more recent years, the battle for geopolitical hegemony has meant that other major powers, notably China, have also invested significantly in AI research (Barton et al. 2017; Allen 2019; Savage 2020; Roberts et al. 2021).”
(2019) · doi:10.4159/9780674242203 · Cited by 84 · see citing works
Vallas, S., & Kalleberg, A. L. (2017) · Emerald Group Publishing Limited eBooks · doi:10.1108/s0277-2833201731 · Cited by 81 · see citing works
The past and the future of innovation: Some lessons from economic history
Mokyr, J. (2018) · Explorations in economic history (Print) · doi:10.1016/j.eeh.2018.03.003 · Cited by 73 · cited 1× · see citing works
“Leading economic historian Joel Mokyr agrees (Mokyr 2018) and is resolutely optimistic about AI’s potential to restart growth.”
Algorithms as fetish: Faith and possibility in algorithmic work
Thomas, S. L., Nafus, D., & Sherman, J. (2018) · Big Data & Society · doi:10.1177/2053951717751552 · Cited by 72 · cited 1× · see citing works
“Algorithm-based decisions emerge as from a “black box” (Pasquale 2015) or “magic box” (Thomas et al. 2018).”
Post-work society as an oxymoron: Why we cannot, and should not, wish work away
Deranty, J. (2021) · European Journal of Social Theory · doi:10.1177/13684310211012169 · Cited by 70 · cited 2× · see citing works
“It is one outcome of a grant-funded project whose aim is to map out the arguments for and against the idea that work is “central” for individuals and communities (see Deranty 2021, and the online repository: onwork.edu.au for other outputs).”
Self-citationForecasting AI progress: A research agenda
Gruetzemacher, R., Dorner, F. E., Bernaola, N., Giattino, C., & Manheim, D. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.120909 · Cited by 66 · see citing works
Lifting the curtain: Strategic visibility of human labour in AI-as-a-Service
Newlands, G. (2021) · Big Data & Society · doi:10.1177/20539517211016026 · Cited by 66 · cited 2× · see citing works
“This human labour is often obscured as “corporate communication highlights the role of technology, not human contribution, especially in the AI industry” (Tubaro 2021, 939; along similar lines, Newlands 2021a, b).”
Determinants of Automation Risk in the EU Labour Market: A Skills-Needs ApproachPreprint
Pouliakas, K. (2018) · SSRN Electronic Journal · doi:10.2139/ssrn.3253487 · Cited by 64 · cited 1× · see citing works
“The figures are confirmed by Pouliakas (2018) via a method that uses disaggregated job descriptions in a key survey conducted by the European Union (the European Skills and Jobs Survey, covering 49,000 EU adult workers), a method that allows him to factor in information on skill requirements (for…”
THE IMPACT OF ARTIFICIAL INTELLIGENCE ON EMPLOYMENT
Tripathi, M. (2024) · International Scientific Journal of Engineering and Management · doi:10.55041/isjem01393 · Cited by 63 · see citing works
Fukumura, Y. E., Gray, J. M., Lucas, G., Becerik-Gerber, B., & Roll, S. C. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18041690 · Cited by 61 · cited 1× · see citing works
“Surveillance and control: algorithmic management raises obvious issues of privacy (Bhave et al. 2020; Ebert et al. 2021; Fukumura et al. 2021; Tsamados et al. 2022), not just at the workplace, but also at home, notably following the pandemic-induced shift to home-based working (Collins 2020).”
Mellacher, P., & Scheuer, T. (2020) · Computational Economics · doi:10.1007/s10614-020-10026-0 · Cited by 57 · cited 1× · see citing works
“…by advances in information and communication technology were biased in favor of workers with higher skills, replacing lower skill workers and assisting workers with pre-existing complex skill sets (Acemoglu and Autor 2011, Göranzon and Josefson 2012, Buera et al. 2015, Mellacher and Scheuer 2020).”
Will productivity growth return in the new digital era
Saniee, I., Kamat, S., Prakash, S., et al. (2017) · Bell Labs Technical Journal · doi:10.15325/bltj.2017.2714819 · Cited by 56 · cited 1× · see citing works
“Global accounting firms, banks and business consultancy groups are often adamant regarding the potential for AI to increase productivity overall (Saniee et al. 2017).”
Ebert, I., Wildhaber, I., & Adams-Prassl, J. (2021) · Big Data & Society · doi:10.1177/20539517211013051 · Cited by 56 · cited 2× · see citing works
“Surveillance and control: algorithmic management raises obvious issues of privacy (Bhave et al. 2020; Ebert et al. 2021; Fukumura et al. 2021; Tsamados et al. 2022), not just at the workplace, but also at home, notably following the pandemic-induced shift to home-based working (Collins 2020).”
Algorithmic and human decision making: for a double standard of transparency
Günther, M., & Kasirzadeh, A. (2021) · AI & Society · doi:10.1007/s00146-021-01200-5 · Cited by 56 · see citing works
Eglash, R., Robert, L., Bennett, A., Robinson, K. P., Lachney, M., & Babbitt, W. (2019) · AI & Society · doi:10.1007/s00146-019-00915-w · Cited by 55 · cited 1× · see citing works
“…relates to the kind of jobs that AI might make possible, with the claim that it might make many jobs, either existing ones or new ones, more satisfying (Paschke-witz and Patt 2020), as they might involve higher skills or more creativity from the workers (Makridakis 2017; Eglash et al. 2020).”
Skill Biased Structural Change
Buera, F., Kaboski, J. P., & Rogerson, R. D. (2015) · National Bureau of Economic Research · doi:10.3386/w21165 · Cited by 54 · see citing works
Disembedded or Deeply Embedded? A Multi-Level Network Analysis of Online Labour Platforms
Tubaro, P. (2021) · Sociology · doi:10.1177/0038038520986082 · Cited by 53 · cited 1× · see citing works
“This human labour is often obscured as “corporate communication highlights the role of technology, not human contribution, especially in the AI industry” (Tubaro 2021, 939; along similar lines, Newlands 2021a, b).”
Power, Politics, and Organizational Change
Buchanan, D., & Badham, R. J. (2020) · Cited by 50 · see citing works
The Business of AI StartupsPreprint
Bessen, J., Impink, S. M., Seamans, R., & Reichensperger, L. (2018) · SSRN Electronic Journal · doi:10.2139/ssrn.3293275 · Cited by 49 · cited 1× · see citing works
“AI has benefited from investment by companies that hope to find in it a new avenue for cutting costs, notably labour (Bessen et al. 2018) and transaction costs (Gurkaynak 2019; Lobel 2018), increasing outputs through ration-alization of the production process (Acemoglu and Restrepo 2019), raising…”
Automation and Autonomy: Labour, Capital and Machines in the Artificial Intelligence Industry
Steinhoff, J. (2021) · Marx, Engels, and Marxisms · doi:10.1007/978-3-030-71689-9 · Cited by 49 · cited 1× · see citing works
“…innovation has been driven to a significant extent by the attempts at winning the economic competition and increasing profit through the usual methods that are used in capitalistic economics (Brynjolfsson and McAfee 2014 for a candid version; Steinhoff 2021 for a critical, Marx-inspired take).”
Artificial Intelligence, Jobs, Inequality and Productivity: Does Aggregate Demand Matter?Preprint
Gries, T., & Naudé, W. A. (2018) · SSRN Electronic Journal · doi:10.2139/ssrn.3301777 · Cited by 44 · see citing works
Digitalised management, control and resistance in platform work: a labour process analysis
Joyce, S., & Stuart, M. (2021) · Edward Elgar Publishing eBooks · doi:10.4337/9781802205138.00017 · Cited by 44 · cited 1× · see citing works
“Workers are put at the mercy of processes they have little control or recourse over (Loi et al. 2020, Veen et al., 2020; Purcell and Brook 2020; Joyce and Stuart 2021).”
Big tech and societal sustainability: an ethical framework
Arogyaswamy, B. (2020) · AI & Society · doi:10.1007/s00146-020-00956-6 · Cited by 39 · cited 3× · see citing works
“A significant portion of professional work in fact involves routine activities (Ford 2015, 2021; Susskind and Susskind 2015, 2020) such that, even if some “higher” cognitive components are involved (memorisation, or complex judgement, or evaluation), “higher skill” jobs are themselves open to…”
Testing the Employment and Skill Impact of New Technologies
Barbieri, L., Mussida, C., Piva, M., & Vivarelli, M. (2020) · Springer eBooks · doi:10.1007/978-3-319-57365-6_1-1 · Cited by 39 · cited 1× · see citing works
“Third, many entry level and manual jobs are in fact not routine and, therefore, not easily codifiable (Goos et al. 2014; Autor et al. 2015, Barbieri et al. 2020).”
Artificial Intelligence, Its Corporate Use and How It Will Affect the Future of Work
Bughin, J. (2020) · Springer proceedings in business and economics · doi:10.1007/978-3-030-46143-0_14 · Cited by 35 · cited 1× · see citing works
“Via a questionnaire targeting 3000 companies, Bughin (2020) concludes that labor redistribution will occur.”
Digitalisation and the regulation of work: theoretical issues and normative challenges
Salento, A. (2018) · AI & SOCIETY · doi:10.1007/s00146-017-0738-z · Cited by 34 · cited 1× · see citing works
“Other battles are about the right to privacy of workers (De Stefano 2020 for Europe) and the development of regulatory frameworks to give an ethical frame to AI development (Salento 2018).”
Employment Growth in Europe: The Roles of Innovation, Local Job Multipliers and InstitutionsPreprint
Goos, M., Konings, J., & Vandeweyer, M. (2015) · SSRN Electronic Journal · doi:10.2139/ssrn.2671765 · Cited by 34 · cited 1× · see citing works
“On some accounts, this effect might even be felt in manufacturing industries servicing automated factories (Goos et al. 2015).”
THE JOBLESS ECONOMY IN A POST-WORK SOCIETY: HOW AUTOMATION WILL TRANSFORM THE LABOR MARKET
(2018) · Psychosociological Issues in Human Resource Management · doi:10.22381/pihrm6220187 · Cited by 33 · cited 3× · see citing works
“Since then, many studies, using a variety of methods have added to these anticipations (Benzel et al. 2015; Bruun and Duka 2018; Halal et al. 2017; Schwab 2017; Chessell 2018; Gruetzemacher et al. 2020; Gruetzem-acher et al. 2021).”
STEFANO, V. D. (2020) · Studies in systems, decision and control · doi:10.1007/978-3-030-45340-4_7 · Cited by 28 · cited 2× · see citing works
“Other battles are about the right to privacy of workers (De Stefano 2020 for Europe) and the development of regulatory frameworks to give an ethical frame to AI development (Salento 2018).”
Artificial intelligence and the ideology of capitalist reconstruction
Berman, B. J. (1992) · AI & Society · doi:10.1007/bf02472776 · Cited by 26 · cited 1× · see citing works
“A major driver of AI innovation and development since the 1980s in the US has been the military (Berman 1992; Morgan et al. 2020 on US investment in AI for intelligence and surveilance systems).”
No automation please, we’re British: technology and the prospects for work
Spencer, D., & Slater, G. (2020) · Cambridge Journal of Regions, Economy and Society · doi:10.1093/cjres/rsaa003 · Cited by 26 · cited 1× · see citing works
“Many researchers highlight the difficulty of generalising from one national context to another, as different structures of the economy, the education system, and so on, mean that AI impacts work differently in different economies (Luk-sha et al. 2015; Spencer and Slater 2020).”
A World Beyond Work?: Labour, Money and the Capitalist State between Crisis and Utopia
Dinerstein, A. C., & Pitts, F. H. (2021) · doi:10.1108/9781787691438 · Cited by 24 · see citing works
Automation, basic income, and merit
Nieswandt, K. (2021) · Routledge eBooks · doi:10.4324/9780429243394-8 · Cited by 23 · cited 2× · see citing works
“• Nieswandt, K. (2021). Automation, basic income, and merit.”
Augmented Exploitation: Artificial Intelligence, Automation and Work
(2021) · doi:10.2307/j.ctv1h0nv3d · Cited by 23 · cited 2× · see citing works
“Vallas and Schor reference a large number of studies on working conditions for app-workers (see the more recent Moore and Woodstock 2021), and conclude that power asymmetry rather than horizontal democracy has so far been the experience of workers.”
Pathologies of AI: Responsible use of artificial intelligence in professional work
Stamper, R. (1988) · AI & Society · doi:10.1007/bf01891439 · Cited by 22 · cited 1× · see citing works
“This insight is well established of course (Stamper 1988).”
Ebben, M. (2020) · Advances in human and social aspects of technology book series · doi:10.4018/978-1-7998-2509-8.ch001 · Cited by 22 · see citing works
Technological Unemployment, Leisure Occupation, and the Human Project
Floridi, L. (2014) · Philosophy & Technology · doi:10.1007/s13347-014-0166-7 · Cited by 21 · cited 1× · see citing works
“At one end are philosophical studies of the “ethics” of AI, which tend to overlook macro-economic and social contexts and focus instead on the ethical norms embedded in particular AI processes and machines (Floridi 2014 as an informative exception).”
Eyes Everywhere: Amazon's Surveillance Infrastructure and Revitalizing Worker PowerPreprint
Hanley, D., & Hubbard, S. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.4089862 · Cited by 19 · see citing works
van Rijmenam, D. M. (2019) · doi:10.4324/9780429279973 · Cited by 17 · cited 1× · see citing works
“AI works by processing large amounts of data to identify patterns (Van Rijmenam 2019).”
Digital economy and the future of social security
Konkolewsky, H.-H. (2017) · Administration · doi:10.1515/admin-2017-0031 · Cited by 15 · cited 5× · see citing works
“One of the consequences of the deployment of AI could be further stress being put on already ailing systems of social protection (Konkolewsky 2017).”
InfluentialThe Nexus between Artificial Intelligence and Economics
van de Gevel, A. J. W., & NOUSSAIR, C. N. (2013) · SpringerBriefs in economics · doi:10.1007/978-3-642-33648-5 · Cited by 14 · see citing works
Coase and the Platform Economy
Lobel, O. (2018) · Cambridge University Press eBooks · doi:10.1017/9781108255882.006 · Cited by 12 · see citing works
Chesta, R. E. (2021) · Lecture notes in logistics · doi:10.1007/978-3-030-58430-6_10 · Cited by 11 · cited 3× · see citing works
“Algorithms are widely used, by companies such as Airbnb (Cheng and Foley 2019), Uber (Möhlmann and Henfridsson 2019; Muller 2019; Amorim and Moda 2020), and Amazon (Park et al. 2021; Chesta 2021) in precisely these ways, to manage, direct, recruit, evaluate, and even terminate workers.”
Unpacking Skill Bias: Automation and New Tasks
Acemoğlu, D., & Restrepo, P. (2020) · National Bureau of Economic Research · doi:10.3386/w26681 · Cited by 10 · cited 2× · see citing works
“…of innovation (Tin-bergen 1974) has led to sophisticated econometric models to formalize “skill-biased technological change” (Autor et al. 2003; Acemoglu and Restrepo 2020a), which provide economic descriptions of the premium that technological innovation gives workers with higher skill, in…”
Transparency As Design Publicity: Explaining and Justifying Inscrutable AlgorithmsPreprint
Loi, M., Ferrario, A., & Viganò, E. (2019) · SSRN Electronic Journal · doi:10.2139/ssrn.3404040 · Cited by 9 · see citing works
The Impact of Artificial Intelligence on Skills at Work in DenmarkPreprint
Holm, J. R., & Lorenz, E. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3876347 · Cited by 9 · cited 1× · see citing works
“The reinstatement effect (see next section) might favour only workers with specialised skills (Frank et al. 2019; Holm and Lorenz 2021), whilst new jobs might be created in occupations that are “technologically lagging”, where automation cannot enter for price reasons, but lower skill attract lower…”
Who's My Manager? Surveillance by AI Leads to Perceived Privacy Invasion and Resistance Practices
Schlund, R., & Zitek, E. M. (2021) · Academy of Management Proceedings · doi:10.5465/ambpp.2021.11451abstract · Cited by 9 · cited 1× · see citing works
“However, many critical management and organizational theorists, labour lawyers and sociologists of work, as well as scholars studying human–machine interactions, highlight concerns with the spread of algorithmic management (Schlund and Zitek 2021).”
Manufacturing Consent in the Gig Economy
Perrig, L. (2021) · Pluto Press eBooks · doi:10.2307/j.ctv1h0nv3d.12 · Cited by 4 · see citing works
Algorithms and artificial intelligence: an optimist approach to efficiencies
Pezzoli, A., & Tonazzi, A. (2019) · Competition Law & Policy Debate · doi:10.4337/clpd.2019.03.04 · Cited by 3 · cited 1× · see citing works
“…from investment by companies that hope to find in it a new avenue for cutting costs, notably labour (Bessen et al. 2018) and transaction costs (Gurkaynak 2019; Lobel 2018), increasing outputs through ration-alization of the production process (Acemoglu and Restrepo 2019), raising productivity…”
Rikap, C. (2021) · Routledge eBooks · doi:10.4324/9780429341489-1 · Cited by 1 · see citing works
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Cited by
Sorted by citations
Shah, I. A., & Mishra, S. (2024) · Journal of Occupational Health · doi:10.1093/joccuh/uiad017 · Cited by 105 · see citing works
“56 To safe-guard their workforce,employers can adopt various strategies recommended by the US National Institute for Occupational Safety and Health (NIOSH).”
BackgroundJo, H. (2023) · Information Development · doi:10.1177/02666669231202764 · Cited by 99 · see citing works
“Alternatively, AI could automate routine tasks, allowing employees to focus on more complex, strategic initiatives (Deranty and Corbin, 2022).”
Ghosh, A., Saini, A., & Barad, H. (2025) · AI & Society · doi:10.1007/s00146-025-02312-y · Cited by 91 · see citing works
Friend or foe? Exploring the implications of large language models on the science system
Fecher, B., Hebing, M., Laufer, M., Pohle, J., & Sofsky, F. (2025) · AI & SOCIETY · doi:10.1007/s00146-023-01791-1 · Cited by 78 · see citing works
“They share this expectation with researchers in the field of AI and work, who in their optimistic scenarios expect a shift in tasks, the creation of new tasks and an emergence of new work profiles rather than the replacement of workers (Deranty and Corbin 2022).”
AI-Powered E-Learning for Lifelong Learners: Impact on Performance and Knowledge Application
Ahn, H. Y. (2024) · Sustainability · doi:10.3390/su16209066 · Cited by 56 · see citing works
Jarota, M. (2023) · Computer law & security review · doi:10.1016/j.clsr.2023.105825 · Cited by 49 · see citing works
Managing workplace AI risks and the future of work
Howard, J., & Schulte, P. A. (2024) · American Journal of Industrial Medicine · doi:10.1002/ajim.23653 · Cited by 54 · see citing works
Generative AI and Its Educational Implications
Łodzikowski, K., Foltz, P. W., & Behrens, J. T. (2024) · Postdigital Science and Education · doi:10.1007/978-3-031-64487-0_2 · Cited by 45 · see citing works
Altomari, L., Altomari, N., & Iazzolino, G. (2023) · JMIR Serious Games · doi:10.2196/45436 · Cited by 48 · see citing works
“Similarly, Deranty and Corbin [50] highlighted the potential societal impacts of AI deployment in work, particularly in the areas of technological unemployment and wealth polarization.”
BackgroundGhosh, D., Ghosh, R., Chowdhury, S. R., & Ganguly, B. (2024) · Management Review Quarterly · doi:10.1007/s11301-023-00393-x · Cited by 41 · see citing works
“Deranty and Corbin (2022) categorizes major disciplines and methodological perspectives to find very interesting observations: two criteria that influence the deployment and development of AI in the economy are “capitalist imperative and nationalistic pressures”.”
AI, automation and the lightening of work
Spencer, D. (2024) · AI & Society · doi:10.1007/s00146-024-01959-3 · Cited by 39 · see citing works
“…including on the effects of AI on work and society (see, for example, the recent symposium on ‘Embedding AI in society: ethics, policy, governance, and impacts’ edited by Pflanzer et al. (2023) and the critical review by Deranty and Corbin (2022) that cover some similar issues to this paper).”
Promma, W., Imjai, N., Usman, B., & Aujirapongpan, S. (2025) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2025.100382 · Cited by 35 · see citing works
Xavier, D. F., & Korunka, C. (2025) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2025.100623 · Cited by 34 · see citing works
Savolainen, I., Ylinen, L., Grönroos, R., & Oksanen, A. (2025) · Digital Business · doi:10.1016/j.digbus.2025.100162 · Cited by 41 · see citing works
Generative AI and the social functions of educational assessment
Broadfoot, P., & Rockey, J. C. (2025) · Oxford Review of Education · doi:10.1080/03054985.2025.2455549 · Cited by 21 · see citing works
“(Claude.ai, 2024) Experts agree that the advent of AI will impact on all areas of human life (Deranty & Corbin, 2022; Kar et al., 2023; Seldon, 2018).”
Saad, A. (2024) · Higher Education Skills and Work-based Learning · doi:10.1108/heswbl-10-2023-0295 · Cited by 16 · see citing works
Embodying Information Systems—The Contribution of Phenomenology
Mingers, J., & Willcocks, L. P. (2023) · Technology, work and globalization · doi:10.1007/978-3-031-34299-8_3 · Cited by 13 · see citing works
Xavier, D. F., Korunka, C., & Reiter‐Palmon, R. (2025) · PLoS ONE · doi:10.1371/journal.pone.0319556 · Cited by 13 · see citing works
Yawson, R. M., & Goryunova, E. (2025) · Advances in Developing Human Resources · doi:10.1177/15234223251335908 · Cited by 9 · see citing works
Rebound Effects Caused by Artificial Intelligence and Automation in Private Life and Industry
Ertel, W., & Bonenberger, C. M. A. (2025) · Sustainability · doi:10.3390/su17051988 · Cited by 15 · see citing works
Artificial Intelligence in Scientific Writing: A Deuteragonistic Role?
Wohlfarth, B., Streit, S. R., & Guttormsen, S. (2023) · Cureus · doi:10.7759/cureus.45513 · Cited by 12 · see citing works
More-than-Human Storytelling: Designing Longitudinal Narrative Engagements with Generative AI
Fabre, É., Seaborn, K., Koiwai, S., Watanabe, M., & Riesch, P. (2025) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3706599.3720135 · Cited by 12 · see citing works
Welding Instructors' Perspectives on Using AI Technology in Welding Training
Lassiter, T. B., Collier, C., Fleischmann, K. R., et al. (2023) · Proceedings of the Association for Information Science and Technology · doi:10.1002/pra2.784 · Cited by 9 · see citing works
“Many economists and technologists believe that the prospect that artificial intelligence (AI) might displace human workers could have serious consequences for the socio-economic landscape (Deranty & Corbin, 2022; Tyson & Zysman, 2022).”
BackgroundCan Large Language Models (LLMs) Act as Virtual Safety Officers?
Subasinghe, S. M. S., Gersib, S. G., Frueh, T. M., & Mankad, N. P. (2024) · ACS Chemical Health & Safety · doi:10.1021/acs.chas.4c00097 · Cited by 8 · see citing works
Smith, A. (2024) · New Technology Work and Employment · doi:10.1111/ntwe.12294 · Cited by 8 · see citing works
Wang, Q., & Hu, J. (2025) · International Review of Economics & Finance · doi:10.1016/j.iref.2025.104536 · Cited by 7 · see citing works
The AI-powered soft skills renaissance: cultivating human abilities in the digital era
Muthukumar, M., Sitharaj, A., Sundaram, M. M., & Dhananjeiyan, B. (2025) · AI and Ethics · doi:10.1007/s43681-025-00912-4 · Cited by 7 · see citing works
Bebien, V., Bellenguez, O., Coppin, G., Ma-Wyatt, A., & Stephens, R. (2024) · AI and Ethics · doi:10.1007/s43681-024-00459-w · Cited by 10 · see citing works
“Among all the ethical problems that are currently discussed around algorithms, we can find many of them related to work conditions and how AI in the larger sense is currently modifying them [25].”
Martorell, J. R., Tirado, F., Blasco, J. L., & Gálvez, A. (2024) · AI & Society · doi:10.1007/s00146-024-01970-8 · Cited by 7 · see citing works
“The second has to do with the effect of the feeling of surveillance that the employee experiences when they are permanently monitored and evaluated (Deranty and Corbin 2024), even on the emotional and affective level (Mantello et al. 2023).”
InfluentialRethinking Automation and the Future of Work with Hannah Arendt
Waelen, R. A. (2025) · Journal of Business Ethics · doi:10.1007/s10551-025-05991-1 · Cited by 6 · see citing works
“…‘gig-workers,’ ‘crowd-workers,’ and ‘micro-workers,’ who do not perform labor for a wage, but instead sell their services quasi-independently using the mediating services of digital platforms like Uber, Airbnb, Deliveroo, or Amazon Mechanical Turk (Christiaens, 2022; Deranty & Corbin, 2022).”
Organizing expectations: the co-constitutive dynamics of AI imaginaries
Christensen, E. (2025) · Human Communication Research · doi:10.1093/hcr/hqaf014 · Cited by 6 · see citing works
Human-Machine Collaboration: Definitions, Models, and Socio-Economic Impacts
Sun, J., & Qiu, L. (2025) · International Journal of Crowd Science · doi:10.26599/ijcs.2025.9100004 · Cited by 8 · see citing works
León, M. (2026) · Big Data and Cognitive Computing · doi:10.3390/bdcc10030069 · Cited by 6 · see citing works
“It situates generative AI within the long tradition of general-purpose technologies (GPTs) [14], while drawing on the diffusion of innovations framework [17], the technology acceptance model [18], unified models of IT adoption, and sociotechnical systems thinking [19] to contextualize its…”
Knowledge, attitudes, and practices of forestry professionals towards artificial intelligence (AI)
Ritter, L., Andrew Uhey, D., & Saxena, A. (2025) · Forest Policy and Economics · doi:10.1016/j.forpol.2025.103626 · Cited by 7 · see citing works
Metacognitive AI literacy: going beyond the AI skills gap agenda
Shapiro, H., Souto‐Otero, M., & Watermeyer, R. (2026) · Learning Media and Technology · doi:10.1080/17439884.2026.2652638 · Cited by 13 · see citing works
Hinks, T. (2024) · AI & Society · doi:10.1007/s00146-024-01962-8 · Cited by 7 · see citing works
Influence of Attitude toward Artificial Intelligence (AI) on Job Performance with AI in Nurses
Morales-García, W. C., Sairitupa-Sanchez, L. Z., Paredes, A. F., Morales-García, M., & Gutierrez, F. N. (2025) · Data & Metadata · doi:10.56294/dm2025221 · Cited by 8 · see citing works
Perspectives for a human-centric industry: understanding the social critique of the utopian proposal
Pugnaletto, M. (2024) · AI & Society · doi:10.1007/s00146-024-02085-w · Cited by 4 · see citing works
“In the realm of social sciences, Deranty and Corbin (2022) provide a comprehensive critique of the literature on the ramifications of emerging technologies, with a special focus on artificial intelligence, for the workplace.”
AI-driven income inequality and preferences for redistribution
Veselý, Š., & Amaris, G. (2025) · Economic Analysis and Policy · doi:10.1016/j.eap.2025.06.019 · Cited by 4 · see citing works
Heiland, H., Schütt, M., Sieron, S., & Syrovatka, F. (2024) · PROKLA Zeitschrift für kritische Sozialwissenschaft · doi:10.32387/prokla.v54i217.2167 · Cited by 5 · see citing works
Ahn, H. Y. (2025) · Systems · doi:10.3390/systems13100915 · Cited by 6 · see citing works
INTEGRATING ARTIFICIAL INTELLIGENCE (AI) into CORPORATE GOVERNANCE SYSTEMS
Kumar, S. (2024) · EDPACS · doi:10.1080/07366981.2024.2405151 · Cited by 4 · see citing works
“Leaders must think about bias from algorithms, too—along with keeping humans involved when needed (Deranty & Corbin, 2022; Garcı´a-Murillo & MacInnes, 2019; Petrin, 2019).”
InfluentialGenerative AI Impact on the Future of Work: Insights from Software Development
Lima, C. D. C., Salazar, H., Lima, Y., Barbosa, C. E., Argôlo, M., Lyra, A. D. O., & de Souza, J. M. (2024) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/smc54092.2024.10831787 · Cited by 5 · see citing works
“The benefits and drawbacks of the impact of implementing these tools have been studied in various fields such as computer science, sociology, industrial relations, management, and economics, among others [27].”
Burkhardt, A. (2025) · AI & Society · doi:10.1007/s00146-025-02577-3 · Cited by 4 · see citing works
How artificial intelligence is changing organizations: Portuguese CEOs’ perspective
Duarte, A., & Dias, P. (2025) · Journal of Communication Management · doi:10.1108/jcom-10-2024-0204 · Cited by 3 · see citing works
Workplace democracy, algorithmic management, and epistemic agency
Turner, B. (2025) · Critical Review of International Social and Political Philosophy · doi:10.1080/13698230.2025.2588074 · Cited by 5 · see citing works
NEXT DYNAMICS IN DESIGNING ARTIFICIAL INTELLIGENCE TO SUPPORT TOURISM DEVELOPMENT
Zimik, A. S. S., & Barman, A. (2024) · International Journal of Engineering Technologies and Management Research · doi:10.29121/ijetmr.v11.i6.2024.1465 · Cited by 3 · see citing works
Sutrisno, I. E., Kinanthi, S. A., Winardi, S., et al. (2025) · International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) · doi:10.1109/iraset64571.2025.11007979 · Cited by 3 · see citing works
“In the information-driven era of the twenty-first century, AI is reshaping how humans live and work [2], [3].”
-, N. S., & -, D. P. K. (2023) · International Journal For Multidisciplinary Research · doi:10.36948/ijfmr.2023.v05i06.7891 · Cited by 3 · see citing works
KARADAĞ, T. (2024) · The European Research Journal · doi:10.18621/eurj.1561840 · Cited by 3 · see citing works
Automation, Artificial Intelligence (AI) and Labour Market in India: Challenges and Road Ahead
Behera, M. C., & Nigam, S. (2025) · Indian Journal of Human Development · doi:10.1177/09737030251346765 · Cited by 3 · see citing works
“Waves of earlier automation originating from advancements in information and communications technology were said to benefit higher-skilled workers, such as displacing lower-skilled workers and supporting already-in-place sophisticated skilled worker practices (Deranty & Corbin, 2022).”
The Role of Artificial Intelligence in Advancing Lifestyle Medicine Research
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Adewale, A. S., & Adekunle, A. A. (2025) · International Journal of Educational Management · doi:10.1108/ijem-12-2024-0847 · Cited by 2 · see citing works
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The Evolution of Precarious Work in Australia: Flexibility, Fragmentation and Insecurity
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Work, Life, and Artificial Intelligence (AI): Emerging Findings from Asia
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Effects of generative AI on service occupations with social interaction
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“Deranty and Corbin (2024) have identified several weaknesses with current approaches to using O*NET.”
Ethical AI Development and Deployment
Gaurav, A., Gupta, B. B., & Castiglione, A. (2024) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-3860-5.ch004 · Cited by 2 · see citing works
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“Working with robots raises ethical issues such as maintaining a sense of control in one’s work, feeling safe while working and being threatened by technological unemployment (Deranty & Corbin, 2022; Melkas, Hennala, Pekkarinen, & Kyrki, 2020).”
BackgroundAN APPLIED RESEARCH ON THE USE OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN MOVING IMAGE PRODUCTION
Söğütlüler, T. (2024) · İNİF E - Dergi · doi:10.47107/inifedergi.1512175 · Cited by 2 · see citing works
Permasalahan Pemutusan Hubungan Kerja Melalui Artificial Intelligence (AI)
Mulyono, F. I., & Pn, S. S. (2025) · Private Law · doi:10.29303/prlw.v5i1.6396 · Cited by 1 · see citing works
The Influence of Artificial Intelligence on Labor Markets
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AI Adoption and Employee Work-Life Balance in the Indonesian Workplace
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“In today information-driven world, AI is changing the way people live and work [6], [7].”
AI in the workplace from the perspective of Generations X, Y, and Z - a literature review
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The New Normal: The Challenges and Opportunities of Freelancing and Remote Work for HR Departments
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The impact of artificial intelligence on creative industries: Freelancers’ anxieties and concerns
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İşyerinde Yapay Zekâya Yönelik Tutumların Psikolojik Sahiplenme Üzerindeki Etkisi
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Philosophy Of Justice In Post-Modern Labor Law: What And How?
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“This raises questions about fairness in addressing issues such as structural unemployment and the rights of workers affected by these technologies (Deranty & Corbin, 2022).”
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The Role of Diagnostic Procedures and Digitalization in the Personnel Management System
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Repenser le travail (et son avenir) à l’époque des manifestes
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ChatGPT and artificial intelligence the future of healthcare?
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There is no “AI” in “Freedom” or in “God”
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AI-Supported Shift Scheduling Prototype of a Human-Centered Approach
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Training People to Reward Robots
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Artificial Intelligence and the Future of Work
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- Authors
- Deranty, J.-P., & Corbin, T.
- Affiliations
- Macquarie University (AU)
- Corresponding author
- Deranty, Jean-Philippe
- Corbin, Thomas
- Venue
- AI & SOCIETY
- Published
- 2022-06-28
- Volume
- 39
- Issue
- 2
- Pages
- 675-691
- ISSN
- 0951-5666 (ISSN-L)
- 1435-5655
- OpenAlex
- W4283645384
- Semantic Scholar
- 899e19049050282ede00825eb2f965fd4e50b097
- Cited by
- 118
- References
- 172
- Citations by year
- 2026: 33 · 2025: 39 · 2024: 31 · 2023: 14 · 2022: 1
- FWCI
- 30.63
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- AI & Society (publishedVersion, cc-by)
- Funders
- Australian Research Council (DP190103116)
- Macquarie University
- Topics
- Social Sciences › Sociology and Political Science › Digital Economy and Work Transformation
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Business, Management and Accounting › Industrial relations › Legal and Labor Studies
- Keywords
- artificial intelligence, future of work, technological unemployment, algorithmic management, platform work, politics of work, capitalism, nationalism
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