Applying AI to Rebuild Middle Class Jobs
Open accessAbstract
While the utopian vision of the current Information Age was that computerization would flatten economic hierarchies by democratizing information, the opposite has occurred.Information, it turns out, is merely an input into a more consequential economic function, decision-making, which is the province of elite experts.The unique opportunity that AI offers to the labor market is to extend the relevance, reach, and value of human expertise.Because of AI's capacity to weave information and rules with acquired experience to support decision-making, it can be applied to enable a larger set of workers possessing complementary knowledge to perform some of the higher-stakes decision-making tasks that are currently arrogated to elite experts, e.g., medical care to doctors, document production to lawyers, software coding to computer engineers, and undergraduate education to professors.My thesis is not a forecast but an argument about what is possible: AI, if used well, can assist with restoring the middle-skill, middle-class heart of the US labor market that has been hollowed out by automation and globalization.
AI snapshot
Written from the paper’s full text.
TL;DR
Autor argues that AI, used well, can rebuild middle-class jobs by extending expert judgment to more workers with foundational training rather than making human expertise obsolete. The essay is a scenario about what is possible, not a forecast, and draws on economic history plus recent proof-of-concept studies.
Key findings
- AI can complement expertise: GitHub Copilot users completed a programming task about 56% faster; ChatGPT users spent 40% less time on writing tasks, with the largest quality gains among less effective writers; customer-service AI improved productivity by roughly 14%, helping novices reach experienced-agent capability in 3 months rather than 10.
- AI does not automatically help experts: in radiology, AI did not improve diagnosis quality even when its predictions were at least as accurate as nearly two-thirds of doctors studied, because doctors misused the tool—overriding confident AI predictions and accepting uncertain ones.
- The Nurse Practitioner case shows high-stakes tasks can be reallocated from elite experts: NP employment nearly tripled from 2011 to 2022 to approximately 224,000, with a 2022 median salary of $125,900.
- The paper frames the problem historically: healthcare and education prices rose by around 200% and 600%, respectively, relative to U.S. household incomes over four decades, while agriculture fell from about 35% of U.S. employment in 1900 to around 1% in 2022.
Methods
- Conceptual economic essay synthesizing historical analogies—artisanal, mass-production, computer, and AI eras—with recent empirical studies.
- Uses cited proof-of-concept experiments and cases, including GitHub Copilot, Noy and Zhang’s ChatGPT writing experiment, Brynjolfsson et al. on customer service, Agarwal et al. on radiology, and the Nurse Practitioner occupation.
- No original data collection or causal estimate of AI’s net effect on middle-class jobs; the argument is normative and scenario-based.
Limitations
- Stated: the thesis is “not a forecast but an argument about what is possible,” and the paper later calls it “A Scenario, Not a Forecast”; how AI is deployed depends on institutions, incentives, and collective choices.
- Stated: AI will also automate some work and displace some expertise, and adjustment may be “wrenching”; recent evidence indicates automation may outpace new work creation.
- Evident: the paper relies on selected proof-of-concept studies and historical analogies rather than a systematic test of whether AI can restore middle-skill, middle-class jobs at scale; it does not quantify net employment or distributional effects.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
13 of 55 cited sources checked · 4 supported · 1 flagged · accuracy not yet measured
- Premisecitation
Computerization catalyzed an unprecedented concentration of decision-making power and accompanying resources among elite experts.
“By making information and calculation cheap and abundant, computerization catalyzed an unprecedented concentration of decision-making power, and accompanying resources, among elite experts”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Deming, 2021 source
The discussion of ICT says it increases worker autonomy and decentralizes firm-level decision-making (section following Table 2; page unavailable). The Introduction likewise describes growing demand for decision-making as an economy-wide phenomenon, not a concentration of power among elite experts. Although the paper reports rising returns for high-ability workers in decision-intensive jobs, it does not equate that with concentrated decision-making power or resources. (LLM, conf=0.86)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
- Premisecitation
Because many high-paid jobs are intensive in non-routine tasks, Polanyi's Paradox proved a major constraint on what work traditional computers could do.
“Because many high-paid jobs are intensive in non-routine tasks, Polanyi's Paradox proved a major constraint on what work traditional computers could do”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Autor, 2014 source
- Premisecitation
In the Brynjolfsson et al. study, productivity gains from generative AI were most pronounced among novice workers.
“They also estimated a significant, roughly 14% improvement in productivity, and akin to Noy and Zhang's study, these gains were most pronounced among novice workers.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Brynjolfsson et al., 2023 source
- Interpretationcitation
In the three studies of writing, customer service and software coding, AI tools supplemented expertise rather than displaced experts.
“In all three instances, AI tools supplemented expertise rather than displaced experts.”
Quote in the paperSubstantial claim1 of 2 sources checked- cites Noy and Zhang, 2023 source
- cites Brynjolfsson et al., 2023 source
The paper’s Abstract says the customer-service tool was designed to augment agents, who remained responsible for conversations and could ignore its suggestions. It does not establish the same conclusion for the writing and coding studies. It also says the study was not designed to assess aggregate employment effects, so it cannot establish that experts were not displaced. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Premisecitation
AI tools helped novice customer service workers attain the capabilities of experienced agents in three months rather than 10.
“AI tools helped novice workers attain the capabilities of experienced agents in three months rather than 10.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Brynjolfsson et al., 2023 source
Section 4.3, “Moving Down the Experience Curve” (page unavailable), supports the central point that AI helped new agents reach a comparable productivity level faster. It reports about 2 months with AI versus 8–10 months without it—not 3 versus 10—and measures productivity rather than agents’ capabilities generally. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Premisereasoning
Quit rates among new customer service agents fell substantially.
“As an unexpected side-effect, quit rates among new agents also fell substantially, likely due to less customer rage directed at them in chat windows.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Brynjolfsson et al., 2023 source
- Premisecitation
Brynjolfsson et al. estimated a significant, roughly 14% improvement in productivity for customer service agents using generative AI tools that provide suggested responses.
“They also estimated a significant, roughly 14% improvement in productivity, and akin to Noy and Zhang's study, these gains were most pronounced among novice workers.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Brynjolfsson et al., 2023 source
- Interpretationcitation
The fall in quit rates among new customer service agents was likely due to less customer rage directed at them in chat windows.
“As an unexpected side-effect, quit rates among new agents also fell substantially, likely due to less customer rage directed at them in chat windows.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Brynjolfsson et al., 2023 source
The attrition analysis (Additional information; page unavailable) reports a substantial reduction in departures among agents with less than six months’ experience. Section 4.6.1 reports improved customer sentiment after AI deployment and describes customer abuse as a source of stress linked to attrition. The paper does not establish that reduced customer hostility caused the fall in quit rates. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Interpretationcitation
In some domains other than healthcare, education and computer code, rapid productivity growth will erode employment.
“But in other domains, yes, rapid productivity growth will erode employment (Bessen, 2019).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Bessen, 2019 source
The Conclusion and “The direction and rate of job changes” support employment losses in some industries, particularly manufacturing, as productivity grows. But the paper says demand elasticity—not rapid productivity growth by itself—determines whether employment rises or falls. The claim omits that condition; the cited passages do not establish healthcare, education, and computer code as the relevant exceptions. Page numbers are unavailable in our copy. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Premisecitation
A complementary reason is that information technology, combined with improved training, facilitated this new division of labor.
“A complementary answer to this origin story is that information technology, combined with improved training, facilitated this new division of labor.”
Quote in the paperNot a substantial claim - Premisecitation
Artisanal expertise was ultimately decimated by the rise of mass production in the 18th and 19th centuries.
“Although artisanal expertise was revered, its value was ultimately decimated by the rise of mass production in the 18th and 19th centuries”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Hounshell, 1984
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
From contract law to calculus instruction to catheterization, AI could potentially enable a larger set of workers to perform high-stakes expert tasks by complementing their skills and supplementing their judgment.
“From contract law to calculus instruction to catheterization, AI could potentially enable a larger set of workers to perform high-stakes expert tasks.It can do this by complementing their skills and supplementing their judgment.”
Quote in the paperSubstantial claim- Rests on an assumption: Workers without college degrees can acquire the complementary knowledge and foundational training needed to perform higher-stakes decision-making tasks with AI support.
- Premisecitation
The unique power of the digital computer was its ability to cheaply, reliably and rapidly execute cognitive and manual tasks encoded in explicit, deterministic rules.
“The unique power of the digital computer, relative to all technologies that preceded it, was its ability to cheaply, reliably and rapidly execute cognitive and manual tasks encoded in explicit, deterministic rules”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Autor et al., 2003 source
- Premisereasoning
Much of the newly demanded mass expertise was novel.
“Much of this newly demanded expertise was novel.”
Quote in the paperNot a substantial claim - Premisecitation
The handloom weavers and frame knitters with their little workshops were quite rapidly wiped out by factories after 1815.
“the handloom weavers and frame knitters with their little workshops were quite rapidly wiped out by factories after 1815”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Mokyr et al., 2015 source
- cites Bythell, 1969
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
The narrow procedural content of mass expert work, with its requirement that workers follow rules but exercise little discretion, was perhaps uniquely vulnerable to technological displacement in the era that followed.
“the narrow procedural content of mass expert work, with its requirement that workers follow rules but exercise little discretion, was perhaps uniquely vulnerable to technological displacement in the era that followed.”
Quote in the paperSubstantial claim - Premisecitation
Due to plummeting birth rates and a cratering labor force, a comparable labor shortage is unfolding across the industrialized world, including China.
“Due to plummeting birth rates and a cratering labor force, a comparable labor shortage is unfolding across the industrialized world (including in China)”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Jones, 2020
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationcitation
Information is merely an input into a more consequential economic function, decision-making, which is the province of elite experts.
“Information, it turns out, is merely an input for a more consequential economic function, decisionmaking, which is the province of elite experts”
Quote in the paperNot a substantial claim - Premisecitation
Barring a massive change in immigration policy, the U.S. and other rich countries will run out of workers before they run out of jobs.
“Barring a massive change in immigration policy, the U.S. and other rich countries will run out of workers before we run out of jobs”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Varian, 2020
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisereasoning
Managers, professionals and technical workers are regularly called upon to exercise judgment on one-off, high-stakes cases.
“Managers, professionals and technical workers are regularly called upon to exercise judgment (not rules) on one-off, high-stakes cases”
Quote in the paperSubstantial claim - Interpretationreasoning
Contributing to these increases is the escalating cost of employing elite decision-makers.
“Contributing to these increases is the escalating cost of employing elite decision-makers.”
Quote in the paperSubstantial claim - Interpretationreasoning
AI can enable a larger set of workers equipped with necessary foundational training to perform higher-stakes decision-making tasks currently arrogated to elite experts such as doctors, lawyers, software engineers and college professors.
“it can enable a larger set of workers equipped with necessary foundational training to perform higher-stakes decision-making tasks currently arrogated to elite experts, such as doctors, lawyers, software engineers and college professors.”
Quote in the paperSubstantial claim- Rests on an assumption: Workers without college degrees can acquire the complementary knowledge and foundational training needed to perform higher-stakes decision-making tasks with AI support.
- Premisecitation
GitHub Copilot, a generative AI-based programming aid, can significantly increase programmer productivity.
“GitHub Copilot, a generative AI-based programming aid, can significantly increase programmer productivity”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Peng et al., 2023
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
AI, if used well, can assist with restoring the middle-skill, middle-class heart of the US labor market that has been hollowed out by automation and globalization.
“AI, if used well, can assist with restoring the middle-skill, middle-class heart of the US labor market that has been hollowed out by automation and globalization.”
Quote in the paperNot a substantial claim- Rests on an assumption: Workers without college degrees can acquire the complementary knowledge and foundational training needed to perform higher-stakes decision-making tasks with AI support.
- Rests on an assumption: Institutional and regulatory barriers that currently restrict high-stakes tasks to elite experts can be changed or circumvented sufficiently for AI to enable broader worker performance.
- Rests on an assumption: AI's constructive applications can be chosen and mastered so that AI is used well.
- Interpretationreasoning
The Computer Era extinguished much of the demand for mass expertise that the Industrial Revolution had fostered.
“the Computer Era (AKA the Information Age) ultimately extinguished much of the demand for mass expertise that the Industrial Revolution had fostered.”
Quote in the paperSubstantial claim - Interpretationreasoning
Because AI can weave information and rules with acquired experience to support decision-making, it can enable a larger set of workers with complementary knowledge to perform some higher-stakes decision-making tasks currently arrogated to elite experts.
“Because of AI's capacity to weave information and rules with acquired experience to support decision-making, it can be applied to enable a larger set of workers possessing complementary knowledge to perform some of the higher-stakes decision-making tasks that are currently arrogated to elite experts”
Quote in the paperNot a substantial claim- Rests on an assumption: Workers without college degrees can acquire the complementary knowledge and foundational training needed to perform higher-stakes decision-making tasks with AI support.
- Interpretationcitation
Electronic medical records and improved communication tools enabled NPs to make better decisions.
“Electronic medical records and improved communication tools enabled NPs to make better decisions.”
Quote in the paperSubstantial claim - Interpretationreasoning
AI has the potential to bring these costs down by reducing scarcity-that is, by empowering more workers to do this expert work.
“But AI has the potential to bring these costs down by reducing scarcity -that is, by empowering more workers to do this expert work.”
Quote in the paperNot a substantial claim- Rests on an assumption: Workers without college degrees can acquire the complementary knowledge and foundational training needed to perform higher-stakes decision-making tasks with AI support.
- Premisecitation
As Alan Turing proved in 1937, computers can perform an infinite variety of tasks, provided that the task can be codified as a series of steps.
“As Alan Turing proved in 1937, such machines can perform an infinite variety of tasks, provided that the task can be codified as a series of steps”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Turing, 1937 source
- Premisenone given
Even as industrial-era innovations spurred a surge in productivity, it was five decades before working-class living standards began to rise.
“Even as industrial-era innovations spurred a surge in productivity, it was five decades before working-class living standards began to rise.”
Quote in the paperSubstantial claim - Interpretationreasoning
By providing decision support in the form of real-time guidance and guardrails, AI could enable a larger set of workers possessing complementary knowledge to perform some of the higher-stakes decision-making tasks currently arrogated to elite experts like doctors, lawyers, coders and educators.
“By providing decision support in the form of realtime guidance and guardrails, AI could enable a larger set of workers possessing complementary knowledge to perform some of the higher-stakes decision-making tasks currently arrogated to elite experts like doctors, lawyers, coders and educators.”
Quote in the paperNot a substantial claim- Rests on an assumption: Workers without college degrees can acquire the complementary knowledge and foundational training needed to perform higher-stakes decision-making tasks with AI support.
- Rests on an assumption: Institutional and regulatory barriers that currently restrict high-stakes tasks to elite experts can be changed or circumvented sufficiently for AI to enable broader worker performance.
- Premisenone given
Computerization automated away a broad middle-skill stratum of jobs in administrative support, clerical and blue-collar production occupations.
“Simultaneously, it automated away a broad middle-skill stratum of jobs in administrative support, clerical and blue-collar production occupations.”
Quote in the paperNot a substantial claim - Premisereasoning
The NP occupation offers an uncommonly large-scale case where high-stakes professional tasks-diagnosing, treating and prescribing-have been reallocated (or co-assigned) from MDs to NPs with somewhat less elite formal expertise and training.
“it offers an uncommonly large-scale case where high-stakes professional tasks -diagnosing, treating and prescribing -have been reallocated (or co-assigned) from the most elite professional workers (MDs) to another set of professionals (NPs) with somewhat less elite (though still substantial) formal expertise and training.”
Quote in the paperSubstantial claim - Premisenone given
Mass production was vastly more productive than artisanal work.
“Mass production was vastly more productive than artisanal work”
Quote in the paperNot a substantial claim - Interpretationcitation
The opposite of the Information Age utopian vision has occurred: computerization did not flatten economic hierarchies.
“But the opposite of this vision has transpired.”
Quote in the paperSubstantial claim - Interpretationreasoning
The fear that AI will lead to fewer jobs is misplaced.
“But this fear is misplaced.”
Quote in the paperSubstantial claim - Premisecitation
Not all tasks follow well-understood rules.
“But not all tasks follow well-understood rules.”
Quote in the paperSubstantial claim - Premisecitation
In a controlled experiment, the treatment group given access to GitHub Copilot completed the required programming task about 56% faster than the control group without access.
“In a controlled experiment, the treatment group that was given access to this tool completed the required programming task about 56% faster than the control group without access to Copilot.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Peng et al., 2023
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationcitation
The Luddites' fear of technology was justified.
“But this fear was justified.”
Quote in the paperNot a substantial claim - Premisecitation
In most U.S. states, working as a crossing guard requires no formal training, specialized expertise or certification.
“in most U.S. states, working as a crossing guard requires no formal training, specialized expertise or certification.”
Quote in the paperSubstantial claim - Premisenone given
The contemporary challenge is the high and rising price of essential services like healthcare, higher education and law, that are monopolized by guilds of highly educated experts.
“The contemporary challenge is the high and rising price of essential services like healthcare, higher education and law, that are monopolized by guilds of highly educated experts.”
Quote in the paperSubstantial claim - Interpretationreasoning
Artificial Intelligence will not in general enable untrained, non-expert workers to carry out high-stakes tasks, like catheterization.
“Artificial Intelligence will not in general enable untrained, non-expert workers to carry out highstakes tasks, like catheterization.”
Quote in the paperSubstantial claim - Interpretationreasoning
The challenge for the U.S. and the entire industrialized world is not a shortfall of work but a shortfall of workers.
“Facing decades ahead of stagnating population growth and a rising share of citizens who are long past retirement, the challenge for the U.S. and the entire industrialized world is not a shortfall of work but a shortfall of workers.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Inagaki et al., 2024
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
AI can enable workers with an appropriate foundation of expertise to level up.
“But it can enable workers with an appropriate foundation of expertise to level up.”
Quote in the paperSubstantial claim - Premisecitation
In the Noy and Zhang study, time spent on the writing task fell across the board by 40%.
“Time spent on the task fell across the board by 40%.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Noy and Zhang, 2023 source
- Interpretationreasoning
The benefit of augmentation from AI accrued in quality.
“The benefit of augmentation accrued in quality.”
Quote in the paperSubstantial claim - Premisecitation
Fifty-one percent of adult YouTube users report that the site is very important for figuring out how to do things they haven't done before.
“Fifty-one percent of adult YouTube users report that the site is”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Smith et al., 2018
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
If innovations were used exclusively for automation, we would have run out of work long ago.
“If innovations were used exclusively for automation, we would have run out of work long ago.”
Quote in the paperSubstantial claim - Interpretationcitation
Using AI, less skilled workers produced work closer in quality to that of their more experienced and skilled peers.
“Using AI, less skilled workers produced work closer in quality to that of their more experienced and skilled peers.”
Quote in the paperSubstantial claim - Interpretationcitation
What remains profoundly challenging for autonomous driving is interpreting and responding appropriately to a world of unpredictable pedestrians, ever-changing road hazards and inclement weather.
“What remains profoundly challenging is interpreting and responding appropriately to a world of unpredictable pedestrians, ever-changing road hazards and inclement weather (Cano, 2023).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Cano, 2023
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
The expertise of most longstanding occupations like doctors, builders and musicians would be far less useful, and in many cases irrelevant, if they were deprived of the tools necessary to apply that expertise.
“Similarly, the expertise of most longstanding occupations like doctors, builders and musicians, would be far less useful, and in many cases irrelevant, if they were deprived of the tools necessary to apply that expertise.”
Quote in the paperSubstantial claim - Premisecitation
Noy and Zhang found significant improvements in the speed and quality of writing output among those assigned to the ChatGPT group.
“Noy and Zhang found significant improvements in the speed and quality of writing output among those assigned to the ChatGPT group.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Noy and Zhang, 2023 source
- Interpretationreasoning
What is true about employment in a specific product or service has never been true of the economy as a whole.
“But what's true about employment in a specific product or service has never been true of the economy writ large.”
Quote in the paperSubstantial claim - Premisecitation
In 1900, about 35% of U.S. employment was in agriculture.
“In 1900, about 35% of U.S. employment was in agriculture (Katz and Margo, 2014).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Katz and Margo, 2014
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisenone given
Absent radar, GPS and two-way radios, air traffic controllers could do little more than squint at the sky.
“Absent radar, GPS and two-way radios, these highly trained experts could do little more than squint at the sky.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The lesson from the radiology experiment is not that AI is contraindicated for doctors but rather that its broad, complementary use will require training and the acquisition of additional expertise.
“The lesson is not that AI is contraindicated for doctors but rather that its broad, complementary use will require training and the acquisition of additional expertise.”
Quote in the paperSubstantial claim - Interpretationreasoning
The era in which it is feasible and cost-effective to deploy robots to perform physically demanding tasks in unpredictable real-world environments, rather than in tightly controlled factory settings, remains distant.
“AI will speed progress in robotics, but the era in which it is feasible and cost-effective to deploy robots to perform physically demanding tasks in unpredictable real-world environments, rather than in tightly controlled factory settings, remains distant.”
Quote in the paperSubstantial claim- Rests on an assumption: AI will speed progress in robotics.
- Interpretationreasoning
The industrialized world appears poised to run out of workers before it runs out of jobs.
“Instead, the industrialized world appears poised to run out of workers before it runs out of jobs.”
Quote in the paperNot a substantial claim - Premisecitation
Despite tremendous investment and widespread pronouncements of imminent success, leading technology companies have faltered in delivering autonomous driving.
“If that sounds unduly pessimistic, consider how, despite tremendous investment and widespread pronouncements of imminent success, the leading technology companies of our era have faltered in delivering autonomous driving (Chafkin, 2022).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Chafkin, 2022
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- May combine two claims. 66
- Classified as probably not a substantial claim. 86
- Not yet classified. 1
May combine two claims.
PremisecitationWorkers who in earlier decades would have qualified for mass expertise jobs in clerical, administrative and production occupations were instead shunted into non-routine, hands-on service occupations, placing downward pressure on already low wages for this work.
“Workers who in earlier decades would have qualified for mass expertise jobs in clerical, ad-ministrative and production occupations were instead shunted into non-routine, hands-on service occupations.This placed downward pressure on already low wages for this work”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Acemoglu and Restrepo, 2022 source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationSome nations already use AI to heavily surveil their populations, squelch viewpoints that depart from official narratives and identify and subsequently punish dissidents, and they are rapidly exporting these capabilities to like-minded autocracies.
“Some nations already use AI to heavily surveil their populations, squelch viewpoints that depart from official narratives and identify (and subsequently punish) dissidents -and they are rapidly exporting these capabilities to like-minded autocracies (Beraja et al., 2023;Mozur et al., 2022;Kroupe, 2022).”
Quote in the paperNot a substantial claim1 of 3 sources checked- cites Beraja et al., 2023 source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured - cites Mozur et al., 2022
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Kroupe, 2022
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
InterpretationcitationDoctors did not understand how to use the AI tool effectively; when AI offered confident predictions, doctors frequently overrode those predictions with their own, and when AI offered uncertain predictions, doctors frequently overrode their own better predictions with those supplied by the machine.
“That's because doctors did not understand how to use the AI tool effectively; when AI offered confident predictions, doctors frequently overrode those predictions with their own.When AI offered uncertain predictions, doctors frequently overrode their own better predictions with those supplied by the machine.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Agarwal et al., 2023 source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationSupport workers buffered by the AI tool experienced significantly less hostility both from their clients and toward their clients.
“Buffered by the AI tool, support workers experienced significantly less hostility both from their clients and also toward their clients.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Brynjolfsson et al., 2023 source
Section 4.6.1 (Sentiment; page unavailable) reports improved customer sentiment after AI deployment, consistent with less hostility from clients. But it reports no detectable effect on agent sentiment, so the claim that workers were significantly less hostile toward clients is not supported. The study measures sentiment rather than hostility directly. (LLM, conf=0.91)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S4 (based).
Interpretationnone givenExpertise is in constant flux; forms that once commanded a substantial market premium are now either antiquated or automated.
“Expertise is in constant flux.Forms that once commanded a substantial market premiumfarriery, typesetting, fur-trapping, spell-checking -are all now either antiquated or automated.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisereasoningKnowledge of rules is necessary but not sufficient for high-stakes judgment cases.
“Knowledge of rules is necessary but not sufficient for such cases.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationFour years after the Covid pandemic's onset, the U.S. unemployment rate has fallen back to its pre-Covid nadir while total employment has risen to nearly three million above its pre-Covid peak.
“Four years after the Covid pandemic's onset, the U.S. unemployment rate has fallen back to its pre-Covid nadir while total employment has risen to nearly three million above its pre-Covid peak”
Quote in the paperSubstantial claim0 of 1 sources checked- cites US Bureau of Labor Statistics, 2023
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
InterpretationreasoningRather than catalyzing a new era of mass expertise as did the Industrial Revolution, computerization fed a four-decade-long trend of rising inequality.
“Thus, rather than catalyzing a new era of mass expertise as did the Industrial Revolution, computerization fed a four-decade-long trend of rising inequality.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenMany of the lowest-paid jobs in industrialized countries are found in hands-on service occupations: food service, cleaning and janitorial services, security, and personal care.
“Many of the lowest-paid jobs in industrialized countries are found in hands-on service occupations: food service, cleaning and janitorial services, security, and personal care.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
InterpretationreasoningArtificial Intelligence marks an inflection point in the economic value of human expertise.
“Like the Industrial and Computer revolutions before it, Artificial Intelligence marks an inflection point in the economic value of human expertise.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationAir traffic controllers were paid a median annual salary of $132,250 in 2022, nearly four times the $33,380 median annual pay of crossing guards.
“air traffic controllers were paid a median annual salary of $132,250 in 2022, or nearly four times the $33,380 median annual pay of crossing guards.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Bureau of Labor Statistics and US Department of Labor (2023b)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S2 (checkable).
PremisecitationComputers are symbolic processors that access, analyze and act upon abstract information.
“computers are symbolic processors that access, analyze and act upon abstract information.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
InterpretationreasoningMoving forward, AI could ultimately supplement the expert judgment of NPs engaging in a broader scope of medical care tasks.
“Moving forward, AI could ultimately supplement the expert judgment of NPs engaging in a broader scope of medical care tasks.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.
Interpretationnone givenAI is not trustworthy with facts and numbers-it does not respect rules.
“AI is not trustworthy with facts and numbers -it does not respect rules.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisenone givenThis required launching new training programs, developing a certification regime and winning a change in the scope of medical practice regulations after a battle with the American Medical Association.
“This required launching new training programs, developing a certification regime and winning a change in the scope of medical practice regulations after a hard-fought (and perhaps never-ending) battle with the physicians' primary lobbying arm, the American Medical Association.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationThe industrialized world is awash in jobs, and it is going to stay that way.
“The industrialized world is awash in jobs, and it's going to stay that way.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.
InterpretationreasoningAI is a tool, like a calculator or a chainsaw, and tools generally are not substitutes for expertise but levers for its application.
“AI is a tool, like a calculator or a chainsaw, and tools generally aren't substitutes for expertise but rather levers for its application.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationAmong the marketers, grant writers, consultants, managers and other diverse professionals recruited to the study, half were randomly given access to and encouraged to use ChatGPT for writing tasks.
“Among the marketers, grant writers, consultants, managers and other diverse professionals recruited to the study, half were randomly given access to (and encouraged to use) ChatGPT for writing tasks.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Noy and Zhang, 2023 source
May combine two claims.
InterpretationreasoningThis would improve the quality of jobs for workers without college degrees, moderate earnings inequality, and lower the cost of key services such as healthcare, education and legal expertise.
“This would improve the quality of jobs for workers without college degrees, moderate earnings inequality, and -akin to what the Industrial Revolution did for consumer goods -lower the cost of key services such as healthcare, education and legal expertise.”
Quote in the paperNot a substantial claim- Rests on an assumption: Workers without college degrees can acquire the complementary knowledge and foundational training needed to perform higher-stakes decision-making tasks with AI support.
- Rests on an assumption: Institutional and regulatory barriers that currently restrict high-stakes tasks to elite experts can be changed or circumvented sufficiently for AI to enable broader worker performance.
Probably not a substantial claim: may not pass S4 (based).
Premisenone givenMany of the most highly paid jobs in industrialized economies did not exist until specific technological or social innovations created a need for them.
“many of the most highly paid jobs in industrialized economies -oncologists, software engineers, patent lawyers, therapists, movie stars -did not exist until specific technological or social innovations created a need for them.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.
Interpretationnone givenA technology that could invert this process would support and supplement judgment, enabling a larger set of non-elite workers to engage in high-stakes decision-making, and would temper the monopoly power that doctors hold over medical care, lawyers over document production, software engineers over computer code, and professors over undergraduate education.
“It would support and supplement judgment, thus enabling a larger set of non-elite workers to engage in high-stakes decision-making.It would simultaneously temper the monopoly power that doctors hold over medical care, lawyers over document production, software engineers over computer code, professors over undergraduate education, etc.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThe areas of expertise that will be eclipsed or gain currency shift across technological epochs.
“But the areas of expertise that will be eclipsed or gain currency shifts across technological epochs.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Premisenone givenComputerization devalued and displaced the procedural expertise that was the stock-in-trade of many middle-skill workers.
“Simultaneously, computerization devalued and displaced the procedural expertise that was the stock-in-trade of many middle-skill workers.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone givenProfessionals develop expert judgment by spending years in supervised practice like apprenticeships.
“professionals develop expert judgment by spending years in supervised practice like apprenticeships”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
InterpretationreasoningArtificial Intelligence is this inversion technology.
“Artificial Intelligence is this inversion technology.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.
Premisenone givenNPs are elite decision-makers whose work combines procedural expertise with expert judgment to confront one-off patient cases where the stakes for judicious decision-making are extraordinarily high.
“NPs are elite decision-makers.Their work combines procedural expertise with expert judgment so they can confront one-off patient cases where the stakes for judicious decision-making are extraordinarily high.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone givenComputerization automated away the mass expertise of the non-elite workers on whom professionals used to rely.
“computers automated away the mass expertise of the non-elite workers on whom professionals used to rely.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
PremisereasoningJobs that require little training or certification are typically found at the bottom of the wage ladder.
“Jobs that require little training or certification, such as restaurant servers, janitors, manual laborers and (even) childcare workers, are typically found at the bottom of the wage ladder.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisenone givenBecoming an air traffic controller requires years of education and on-the-job apprenticeship, making it a scarce skill.
“Becoming an air traffic controller requires years of education and on-thejob apprenticeship -it is a scarce skill.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Premisenone givenBetween 2011 and 2022, NP employment nearly tripled to approximately 224,000, with employment projected to grow by around 40% over the next decade, well above the national average.
“Between 2011 and 2022, NP employment nearly tripled to approximately 224,000, with employment projected to grow by around 40% over the next decade, well above the national average.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThis eroded the value of mass expertise, just as the technologies of the Industrial Revolution previously eroded the value of artisanal expertise.
“This eroded the value of mass expertise, just as the technologies of the Industrial Revolution previously eroded the value of artisanal expertise.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningEven as computerization eroded the value of mass expertise, it augmented the accuracy, productivity and thoroughness of expert professional judgment, thus magnifying its value.
“This augmented the accuracy, productivity and thoroughness of expert professional judgment, thus magnifying its value.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone givenPre-AI computing made the expert judgment of professional decision-makers more consequential and more valuable by speeding the task of acquiring and organizing information.
“Recall that the advent of pre-AI computing made the expert judgment of professional decisionmakers more consequential and more valuable by speeding the task of acquiring and organizing information.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisereasoningTo master the tools, rules and exacting requirements of mass expert work, workers frequently needed literacy and numeracy.
“To master the tools, rules and exacting requirements of this work, workers frequently needed literacy and numeracy.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationThese hands-on service jobs are low paid because they require little expertise, even though they demand dexterity, sightedness, simple communication skills and common sense.
“Although these jobs demand dexterity, sightedness, simple communication skills and common sense -and are therefore non-routine tasks, ill-suited to computerization-they are nevertheless low paid because they require little expertise”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
InterpretationreasoningAs AI's facility in expert judgment becomes more reliable, incisive and accessible in the years ahead, it will emerge as a near-ubiquitous presence in our working lives.
“As AI's facility in expert judgment becomes more reliable, incisive and accessible in the years ahead, it will emerge as a near-ubiquitous presence in our working lives.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Premisenone givenConditions for rank-and-file workers in early mass production were typically hazardous and grueling, requiring no specialized expertise beyond a willingness to labor under punishing conditions for extremely low pay.
“conditions for rank-andfile workers were typically hazardous and grueling, requiring no specialized expertise beyond a willingness to labor under punishing conditions for extremely low pay.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningAn urgent need for more crossing guards could be filled by most air traffic controllers, but the reverse would not be true.
“An urgent need for more crossing guards could be filled by most air traffic controllers but the reverse would not be true.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Interpretationnone givenAI will automate existing work, rendering certain existing areas of expertise irrelevant.
“AI will certainly also automate existing work, rendering certain existing areas of expertise irrelevant.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
InterpretationreasoningAI's capacity to depart from script, to improvise based on training and experience, enables it to engage in expert judgment-a capability that until now has fallen within the province of elite experts.
“AI's capacity to depart from script, to improvise based on training and experience, enables it to engage in expert judgment -a capability that, until now, has fallen within the province of elite experts.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
PremisereasoningAs computerization advanced, the earnings of workers with four-year college and especially graduate degrees rose steeply.
“As computerization advanced, the earnings of workers with four-year college and especially graduate degrees like those in law, medicine and science and engineering, rose steeply.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Interpretationnone givenRather than relying on hardcoded procedures, AI learns by example, gains mastery without explicit instruction and acquires capabilities that it was not explicitly engineered to possess.
“Rather than relying on hardcoded procedures, AI learns by example, gains mastery without explicit instruction and acquires capabilities that it was not explicitly engineered to possess.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone givenExpertise commands a market premium if it is both necessary for accomplishing an objective and relatively scarce.
“Expertise commands a market premium if it is both necessary for accomplishing an objective and relatively scarce.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based). May combine two claims.
Interpretationnone givenThe stakes of most current AI-assisted everyday decisions are inconsequential, but they will rise as AI advances and takes on higher value assignments.
“The stakes of most of these decisions are inconsequential at present, unless you're sleeping at the wheel of your Tesla, but they will rise as AI advances and takes on higher value assignments in our lives.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationFederal Reserve Bank economists Emily Dohrman and Bruce Fallick estimate that over the last four decades, the prices of healthcare and education rose by around 200 and 600%, respectively, relative to U.S. household incomes.
“Federal Reserve Bank economists Emily Dohrman and Bruce Fallick estimate that over the last four decades, the prices of healthcare and education rose by around 200 and 600%, respectively, relative to U.S. household incomes”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Dohrman and Fallick, 2020 source
Checked before — its earlier verdict is held back until a new check runs.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenPrior to the computer era, the human mind was essentially the only tool for symbolic processing.
“Prior to the computer era, there was essentially only one tool for symbolic processing: the human mind.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.
InterpretationreasoningThe implications of AI have a relevant parallel in economic history, but the parallel runs counter to the present.
“I believe that the implications of AI have a relevant parallel in economic history, but the parallel runs counter to the present.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningAI's unique opportunity for the labor market is to extend the relevance, reach, and value of human expertise.
“The unique opportunity that AI offers to the labor market is to extend the relevance, reach, and value of human expertise.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenThe virtuous combination of rising industrial productivity and rising demand for worker expertise helped build a new middle class in industrializing countries.
“This virtuous combination of rising industrial productivity and rising demand for worker expertise helped build a new middle class in industrializing countries”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
InterpretationreasoningAI is remarkably effective at acquiring tacit knowledge.
“AI is, however, remarkably effective at acquiring tacit knowledge.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
PremisereasoningTools are useless at best and hazardous at worst to those lacking relevant training and experience.
“Conversely, tools are useless at best -and hazardous at worst -to those lacking relevant training and experience.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationThe primary reason this sharing of elite decision-making rights was possible is institutional: in the early 1960s, a group of nurses and doctors recognized a growing shortage of primary care physicians, perceived that registered nurses' skills were underused, and pioneered a new medical occupation.
“The primary answer is institutional.In the early 1960s, a group of nurses and doctors recognized a growing shortage of primary care physicians, perceived that the skills of registered nurses were underused and pioneered a new medical occupation to address both shortfalls”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Asubonteng et al., 1995
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S4 (based).
Premisenone givenModern elite experts combine procedural knowledge with expert judgment and, frequently, creativity, to tackle specific, high-stakes and often uncertain cases.
“modern elite experts such as doctors, architects, pilots, electricians and educators, combine procedural knowledge with expert judgment and, frequently, creativity, to tackle specific, high stakes and often uncertain cases.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Premisenone givenNurse Practitioners are Registered Nurses who hold an additional master's degree that certifies them to administer and interpret diagnostic tests, assess and diagnose patients, and prescribe medications-services that were once exclusively within the domain of physicians.
“NPs are Registered Nurses (RNs) who hold an additional master's degree that certifies them to administer and interpret diagnostic tests, assess and diagnose patients, and prescribe medications -services that were once exclusively within the domain of physicians.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Premisenone givenArtisans spent years acquiring procedural expertise and expert judgment.
“Artisans spent years acquiring at least two broad forms of expertise: procedural expertise, meaning following highly practiced steps to produce an outcome; and expert judgment, meaning adapting those procedures to variable instances.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisereasoningTools enable workers with proper training and judgment to accomplish tasks that were previously time-consuming, failure-prone or infeasible.
“By shortening the distance from intention to result, tools enable workers with proper training and judgment to accomplish tasks that were previously time-consuming, failure-prone or infeasible.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Premisenone givenAs computing advanced, digital machines proved more proficient and much less expensive than workers in mastering tools and following rules.
“As computing advanced, digital machines proved more proficient and much less expensive than workers in mastering tools and following rules.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationThe utopian vision of the Information Age was that computerization would flatten economic hierarchies by democratizing information.
“The utopian vision of our Information Age was that computers would flatten economic hierarchies by democratizing information.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Friedman, 2005
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S4 (based).
InterpretationreasoningArtificial Intelligence's capabilities are precisely the inverse of pre-AI computing's.
“Artificial Intelligence's capabilities are precisely the inverse.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.
Interpretationnone givenAI offers vast tools for augmenting workers and enhancing work.
“AI offers vast tools for augmenting workers and enhancing work.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn a 2023 paper in Science, Noy and Zhang conducted an online experiment focused on writing tasks.
“In a 2023 paper in Science, Massachusetts Institute of Technology graduate students Shakked Noy and Whitney Zhang conducted an online experiment focused on writing tasks.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Noy and Zhang, 2023 source
Probably not a substantial claim: may not pass S2 (checkable), S4 (based).
InterpretationreasoningLike a human expert, AI can weave formal knowledge (rules) with acquired experience to make or support one-off, high-stakes decisions.
“Like a human expert, AI can weave formal knowledge (rules) with acquired experience to make -or support -one-off, high-stakes decisions.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenIn 2022, the median Nurse Practitioner earned an annual salary of $125,900.
“In 2022, the median Nurse Practitioner earned an annual salary of $125,900.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenFor workers with foundational training and experience, AI can help leverage expertise so they can do higher-value work.
“For workers with foundational training and experience, AI can help to leverage expertise so they can do higher-value work.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenAI will instantiate new human capabilities, goods and services that create demand for expertise we have yet to foresee.
“It will further instantiate new human capabilities, new goods and services that create demand for expertise we have yet to foresee.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
PremisereasoningThe 60% of adults without a bachelor's degree have been relegated to non-expert, low-paid service jobs.
“the 60% of adults without a bachelor's degree have been relegated to non-expert, low-paid service jobs.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenPrior to the Industrial Revolution, goods were handmade by skilled artisans.
“Prior to the Industrial Revolution, goods were handmade by skilled artisans”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThe era of Artificial Intelligence heralds another transformation in expertise.
“The era of Artificial Intelligence heralds another such transformation.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationcitationThe erroneous assumption that the future is determined by technological inevitabilities deprives citizens of agency in making or recognizing collective decisions that shape the future.
“The erroneous assumption that the future is determined by technological inevitabilities -what Shoshana Zuboff terms inevitabilism -deprives citizens of agency in making, or even recognizing, the collective decisions that will shape the future”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Zuboff, 2019
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S2 (checkable), S4 (based).
InterpretationreasoningAI's primary role will be to advise, coach and alert decision-makers as they apply expert judgment.
“Its primary role will be to advise, coach and alert decision-makers as they apply expert judgment.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
InterpretationreasoningAI's decision-making prowess has already bled into the edges of our everyday lives.
“AI's decision-making prowess has already bled into the edges of our everyday lives.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.
InterpretationreasoningAI will change the labor market by reshaping the value and nature of human expertise, not by eliminating jobs as Musk and Hinton believe.
“AI will change the labor market, but not in the way Musk and Hinton believe.Instead, it will reshape the value and nature of human expertise.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
InterpretationreasoningExpertise is the primary source of labor's value in the US and other industrialized countries.
“Expertise is the primary source of labor's value in the US and other industrialized countries.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
InterpretationreasoningWhen an email application proposes to complete a sentence, a smartwatch asks if you've taken a fall, or a car nudges steering to re-center in a lane, AI is supplying expert judgment to interpret intentions and guide actions.
“When your email application proposes to complete your sentence, your smartwatch asks if you've taken a fall or your car nudges your steering wheel to re-center your vehicle in a lane, AI is supplying expert judgment to interpret your intentions and guide your actions.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Premisenone givenPre-AI computing's core capability was its faultless and nearly costless execution of routine, procedural tasks, and its Achilles' heel was its inability to master non-routine tasks requiring tacit knowledge.
“Pre-AI, computing's core capability was its faultless and nearly costless execution of routine, procedural tasks.Its Achilles' heel was its inability to master non-routine tasks requiring tacit knowledge.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationMaking a persuasive argument, telling a joke, riding a bicycle or recognizing an adult's face in a baby photograph are subtle and complex undertakings that people accomplish without formal understanding of what they are doing.
“Making a persuasive argument, telling a joke, riding a bicycle or recognizing an adult's face in a baby photograph, are subtle and complex undertakings that people accomplish without formal understanding of what they are doing”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenMany expert personal service occupations owe their livelihoods not to specific innovations but to rising incomes, fluctuating fashions and shifting economic incentives.
“Many expert personal service occupations, such as vegan chefs, college admissions consultants and personal trainers, owe their livelihoods not to specific innovations but to rising incomes, fluctuating fashions and shifting economic incentives.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisenone givenAutomation did not give rise to airplanes, indoor plumbing, penicillin, CRISPR or television.
“Automation did not, for example, give rise to airplanes, indoor plumbing, penicillin, CRISPR or television.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenThere were no air traffic controllers, electricians or gene editors until supporting innovations gave rise to the need for these specialized skill sets.
“There were no air traffic controllers, electricians or gene editors until supporting innovations gave rise to the need for these specialized skill sets.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningNavigation apps automated the expertise of London cabbies, but radar, GPS and two-way radios did the opposite for air traffic controllers; innovation in this case created a new type of expert work.
“In economic parlance, navigation apps automated the expertise of London cabbies.But radar, GPS and two-way radios did the opposite for air traffic controllers.Innovation in this case did not automate, it created a new type of expert work.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningTools can and do encroach on their users' expertise, but the opposite is just as often true.
“Tools can and do encroach on their users' expertise.But the opposite is just as often true.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.
Interpretationnone givenThe most valuable tools complement human capabilities and open new frontiers of possibility; the most pedestrian ones incrementally outperform existing tools.
“The most valuable tools complement human capabilities and open new frontiers of possibility.The most pedestrian ones incrementally outperform existing tools.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
InterpretationreasoningAI can extend the reach of expertise by building stories atop a good foundation and sound structure; absent this footing, it is a structural hazard.
“AI can extend the reach of expertise by building stories atop a good foundation and sound structure.Absent this footing, it is a structural hazard.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.
InterpretationreasoningAI poses a real risk to labor markets, but not that of a technologically jobless future; the risk is the devaluation of expertise.
“AI poses a real risk to labor markets, but not that of a technologically jobless future.The risk is the devaluation of expertise.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationThere is no economic law that says that the forces of automation and new work creation are equal and offsetting; recent evidence indicates that the former is outpacing the latter.
“There is no economic law that says that the forces of automation and new work creation are equal and offsetting; in fact, recent evidence indicates that the former is outpacing the latter (Acemoglu and Restrepo, 2022;Autor et al., forthcoming).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Acemoglu and Restrepo, 2022 source
Not checked in the free run.
- cites Autor et al., forthcoming
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing). May combine two claims.
InterpretationreasoningThese countervailing effects will create winners and losers, and the adjustment may be wrenching.
“These countervailing effects will create winners and losers, and the adjustment may be wrenching.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationJapanese retailers have shortened operating hours, installed avatars and hired foreign students to cope with the labour shortage.
“In the rapidly aging country of Japan, for example, the Financial Times reports that”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Inagaki et al., 2024
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Premisenone givenNorth Korea possesses a phalanx of nuclear weapons but no civilian nuclear power plants; Japan possesses no nuclear weapons and dozens of civilian nuclear power plants.
“North Korea possesses a phalanx of nuclear weapons but no civilian nuclear power plants.Japan, the only country against which offensive nuclear weapons have been used, possesses no nuclear weapons and dozens of civilian nuclear power plants.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningRather than automating existing tasks, these innovations opened fundamentally new vistas of human possibility and generated new employment and new demands for expertise.
“Rather than automating existing tasks, these innovations opened fundamentally new vistas of human possibility.Simultaneously, they generated new employment and new demands for expertise.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
InterpretationreasoningReplicating our existing capabilities, simply at greater speed and lower cost, is a minor achievement.
“Replicating our existing capabilities, simply at greater speed and lower cost, is a minor achievement.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenThe unique opportunity that AI offers humanity is to turn back the tide of eroded job quality by extending the relevance, reach and value of human expertise for a larger set of workers.
“The unique opportunity that AI offers humanity is to turn back this tide -to extend the relevance, reach and value of human expertise for a larger set of workers.”
Quote in the paperNot a substantial claim- Rests on an assumption: The quality, dignity and respect of a substantial minority of jobs has eroded over the past four decades as computerization has marched onward and inequality has grown more prevalent.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenScientific mastery of controlled nuclear fission in the 1940s enabled nations to produce both massively destructive weapons and near-carbon-free electricity generation plants.
“Scientific mastery of controlled nuclear fission in the 1940s enabled nations to produce both massively destructive weapons and near-carbon-free electricity generation plants.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
InterpretationreasoningTo harness free expertise on tap, a person needed foundational expertise: procedural knowledge for handling high voltage circuits and expert judgment for problem-solving when the job went off script.
“To harness the free expertise on tap, I needed foundational expertise: procedural knowledge for handling high voltage circuits, expert judgment for problem-solving when the job went off script.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based). May combine two claims.
InterpretationreasoningAirplanes are not our competitors; we simply couldn't fly without them.
“Airplanes are not our competitors; we simply couldn't fly without them.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationcitationChatGPT did not eliminate the role of expertise; the best writers remained at the top using either set of tools, ChatGPT enabled the most capable to write faster and the less capable to write both faster and better, and the productivity gap between adequate and excellent writers shrank.
“ChatGPT did not eliminate the role of expertise.While the best writers remained at the top of the heap using either set of tools, ChatGPT enabled the most capable to write faster and the less capable to write both faster and better -so the productivity gap between adequate and excellent writers shrank.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Noy and Zhang, 2023 source
May combine two claims.
PremisecitationAfter a century of sustained productivity growth, agriculture's share of U.S. employment in 2022 was around 1%, and not because we are eating less.
“After a century of sustained productivity growth, that share in 2022 was around 1% -and not because we're eating less (US Department of Agriculture, 2024).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites US Department of Agriculture, 2024
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S2 (checkable), S4 (based).
InterpretationreasoningThe most important innovations have never been about automation.
“The likely reason is that the most important innovations have never been about automation.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenEven if opposing forces of automation and new work creation were to arm-wrestle to a draw, it is unlikely that workers whose expertise will be displaced by AI will be the same ones whose expertise is made newly valuable.
“Even if these opposing forces were to arm-wrestle one another to a draw, however, it is unlikely that workers whose expertise will be displaced by AI will be the same ones whose expertise is made newly valuable.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.
Interpretationnone givenThis alternative path is not an inevitable or intrinsic consequence of AI development; it is technologically plausible, economically coherent and morally compelling.
“This alternative path is not an inevitable or intrinsic consequence of AI development.It is, however, technologically plausible, economically coherent and morally compelling.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationOpenAI's charter defines Artificial General Intelligence (AGI) as highly autonomous systems that outperform humans at most economically valuable work.
“For example, the charter of OpenAI, developer of ChatGPT and DALL-E, defines Artificial General Intelligence (AGI) as”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites OpenAI, 2018
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.
Interpretationnone givenA future where humans supply only generic, undifferentiated labor is one where no one is an expert because everyone is an expert; in this world, labor is disposable and most wealth would accrue to owners of Artificial Intelligence patents.
“A future where humans supply only generic, undifferentiated labor is one where no one is an expert because everyone is an expert.In this world, labor is disposable and most wealth would accrue to owners of Artificial Intelligence patents.”
Quote in the paperNot a substantial claimNot yet classified.
InterpretationQuality improved not simply because workers were asleep at the wheel while AI did the driving; workers applied their expertise and judgment to produce the final product while harnessing AI's suggestions.
“But quality improved not simply because workers were asleep at the wheel while AI did the driving.Workers were called upon to apply their expertise and judgment to produce the final product of code, text or customer support, while also harnessing AI's suggestions.”
Quote in the paperNot yet classifiedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationIn other settings, the same underlying AI technologies are used to advance medical drug discovery, including the development of Covid vaccines, enable real-time translation of spoken languages and provide free, customized tutoring to struggling learners and precocious autodidacts.
“In other settings, the same underlying AI technologies are used to advance medical drug discovery (including the development of Covid vaccines) (Qureshi et al., 2023;Dolgin, 2023), enable real-time translation of spoken languages and provide free, customized tutoring to struggling learners and precocious autodidacts.”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
PremisecitationAgarwal et al. found that AI did not improve the quality of radiologists' diagnoses even though AI's predictions were at least as accurate as nearly two-thirds of the doctors studied.
“In an experiment that randomly allocated the availability of AI assistance to professional radiologists, Nikhil Agarwal of MIT and his coauthors have found that AI did not improve the quality of radiologists' diagnoseseven though AI's predictions were at least as accurate as nearly two-thirds of the doctors studied (Agarwal et al., 2023).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Agarwal et al., 2023 source
Checked before — its earlier verdict is held back until a new check runs.
Probably not a substantial claim: may not pass S4 (based).
Premisenone givenHistory and scholarship demonstrate that the technologies societies develop and the way they use them are determined foremost by the institutions in which they were created and the incentives under which they are deployed.
“History and scholarship demonstrate that the technologies that societies develop and the way that they use them -for exploitation or emancipation, for broadening prosperity or concentrating wealth -are determined foremost by the institutions in which they were created and the incentives under which they are deployed.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Interpretationnone givenThe industrialized world is long on jobs and short on workers.
“Amid a deluge of press reports on the impending AI robocalypse, one could easily fail to notice that the industrialized world is long on jobs and short on workers.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.
InterpretationreasoningThe ominous statements by AI visionaries are likely wrong, a flattening of the complexity of innovation into a single dimension of automation.
“The most charitable thing I can say about these ominous statements is that they are likely wrong -a flattening of the complexity of innovation into a single dimension of automation.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based). May combine two claims.
Interpretationnone givenInnovation invariably provides new tools, and tools are often implements of automation.
“Innovation invariably provides new tools, and tools are often implements of automation.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
InterpretationreasoningThe more powerful the tool, the higher the stakes.
“And the more powerful the tool, the higher the stakes.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningAI will automate the core tasks of some occupations, eliminate others and dramatically reshape some of those that remain; it will simultaneously instantiate new goods and services, generate new demands for expertise and open new possibilities for human advancement.
“AI will automate the core tasks of some occupations, eliminate others and dramatically reshape some of those that remain.It will simultaneously instantiate new goods and services, generate new demands for expertise and open new possibilities for human advancement -though it is always difficult to predict what those will be.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S1 (asserted), S3 (load-bearing).
PremisecitationMustafa Suleyman writes, If the coming wave really is as general and wide-ranging as it appears, how will humans compete?
“In a 2023 New York Times bestselling book, the AI pioneer Mustafa Suleyman writes,”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Suleyman and Bhaskar, 2023
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningRather than making expertise unnecessary, tools often make it more valuable by extending its efficacy and scope.
“My point: rather than making expertise unnecessary, tools often make it more valuable by extending its efficacy and scope.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationThe majority of contemporary jobs are not remnants of historical occupations that have so far escaped automation; instead, they are new job specialties inextricably linked to specific technological innovations and demand novel expertise unavailable or unimagined in earlier eras.
“The majority of contemporary jobs are not remnants of historical occupations that have so far escaped automation (Autor et al., forthcoming).Instead, they are new job specialties that are inextricably linked to specific technological innovations; they demand novel expertise that was unavailable or unimagined in earlier eras.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Autor et al., forthcoming
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.
InterpretationreasoningExtending the relevance, reach and value of human expertise could dampen earnings inequality, lower the costs of key services like healthcare and education, and help restore the quality, stature and agency that has been lost to too many workers and jobs.
“Not only could this dampen earnings inequality and lower the costs of key services like healthcare and education, but it could also help restore the quality, stature and agency that has been lost to too many workers and jobs.”
Quote in the paperNot a substantial claim- Rests on an assumption: The quality, dignity and respect of a substantial minority of jobs has eroded over the past four decades as computerization has marched onward and inequality has grown more prevalent.
May combine two claims.
PremisecitationIn the Noy and Zhang study, the biggest quality improvements were concentrated at the bottom; the least effective writers in the ChatGPT group were about as effective as the median writer without ChatGPT.
“Remarkably, the biggest quality improvements were concentrated at the bottom.The least effective writers in the ChatGPT group were about as effective as the median writer without ChatGPTa huge quality jump (Noy and Zhang, 2023).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Noy and Zhang, 2023 source
May combine two claims.
InterpretationreasoningThe benefit of automation from AI was paid in time savings; AI wrote the first draft of computer code, advertising copy and customer support responses.
“The benefit of automation was paid in time savings.AI wrote the first draft of computer code, advertising copy and customer support responses.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningHow AI is deployed, and who gains and loses out in the process, will depend upon the collective and conflicting choices of industry, governments, foreign nations, non-governmental organizations, universities, worker organizations and individuals.
“How AI is deployed, and who gains and loses out in the process, will depend upon the collective (and conflicting) choices of industry, governments, foreign nations, non-governmental organizations, universities, worker organizations and individuals.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based). May combine two claims.
Interpretationnone givenArtificial Intelligence is far more malleable and broadly applicable than nuclear technology, and hence the range of both constructive and destructive uses is far wider.
“Artificial Intelligence is far more malleable and broadly applicable than nuclear technology, and hence the range of both constructive and destructive uses is far wider.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationLondon cab drivers train for years to memorize all the streets of London, but smartphone navigation apps have made this hard-earned expertise technologically obsolete and economically superfluous.
“London cab drivers, for example, train for years to memorize all the streets of London (Brown, 2011;Lydall, 2023)-but smartphone navigation apps have made this hard-earned expertise technologically obsolete and economically superfluous (Berger et al., 2018).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Brown, 2011
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Lydall, 2023
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Berger et al., 2018 source
The paper relies on this without support.
Workers without college degrees can acquire the complementary knowledge and foundational training needed to perform higher-stakes decision-making tasks with AI support.
“enable a larger set of workers possessing complementary knowledge to perform some of the higher-stakes decision-making tasks”
The paper relies on this without support.
Institutional and regulatory barriers that currently restrict high-stakes tasks to elite experts can be changed or circumvented sufficiently for AI to enable broader worker performance.
“winning a change in the scope of medical practice regulations after a hard-fought (and perhaps never-ending) battle with the physicians' primary lobbying arm, the American Medical Association.”
The paper relies on this without support.
AI's constructive applications can be chosen and mastered so that AI is used well.
“AI, if used well, can assist with restoring the middle-skill, middle-class heart of the US labor market”
The paper relies on this without support.
Demand for healthcare, education and computer code is almost limitless and will rise further if AI brings down the costs of these services.
“Demand for healthcare, education and computer code appears almost limitless -and will rise further if as expected AI brings down the costs of these services.”
The paper relies on this without support.
The quality, dignity and respect of a substantial minority of jobs has eroded over the past four decades as computerization has marched onward and inequality has grown more prevalent.
“But the quality, dignity and respect of a substantial minority of jobs has eroded over the past four decades as computerization has marched onward and inequality has grown more prevalent.”
The paper relies on this without support.
AI will speed progress in robotics.
“AI will speed progress in robotics, but the era in which it is feasible and cost-effective to deploy robots to perform physically demanding tasks in unpredictable real-world environments, rather than in tightly controlled factory settings, remains distant.”
Cites
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Klauser, R., & Tamm, M. (2026) · International Journal of Manpower · doi:10.1108/ijm-02-2025-0091 · Cited by 2 · see citing works
Li, C., Xing, Z., Li, X., & Chen, L. (2026) · Journal of Happiness Studies · doi:10.1007/s10902-026-01020-8 · Cited by 1 · see citing works
Are We Automating the Joy Out of Work? Designing AI to Augment Work, Not Meaning
Ranjit, J., Zhou, K., Swayamdipta, S., & Quercia, D. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3791845 · Cited by 1 · see citing works
AI, the Future of Work, and the Politics of the Welfare State
Chueri, J. (2026) · Perspectives on Politics · doi:10.1017/s1537592726104538 · Cited by 1 · see citing works
The Impact of Digital Technologies on Skills‐to‐Job Mismatches
Santiago-Vela, A. (2026) · New Technology Work and Employment · doi:10.1111/ntwe.70036 · Cited by 1 · see citing works
A New Index Measuring Occupational Exposure to Artificial IntelligencePreprint
Liu, Y., Liu, C., & Huang, T. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4515629 · Cited by 1 · see citing works
Artificial Intelligence and the Skill PremiumPreprint
Bloom, D. E., Klaus Prettner, A., Saadaoui, J., et al. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4820812 · Cited by 1 · see citing works
The ABC’s of Who Benefits from Working with AI: Ability, Beliefs, and CalibrationPreprint
Caplin, A., Deming, D. J., Li, S., Martin, D. F., Marx, P., Weidmann, B., & Ye, K. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4978700 · Cited by 1 · see citing works
Labor Market Signals: The Role of Large Language ModelsPreprint
Nejad, K. A., Musillo, G., Wicker, T., & Zaccaria, N. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5185035 · Cited by 1 · see citing works
Shifting Work Patterns with Generative AiPreprint
Dillon, E. W., Jaffe, S., Immorlica, N., et al. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5250761 · Cited by 1 · see citing works
AI for Fairness? The Role of Generative Tools in Shaping Freelancer SuccessPreprint
Cao, J., & Li, Z. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5346514 · Cited by 1 · see citing works
Job Transformation, Specialization, and the Labor Market Effects of AIPreprint
Freund, L. B., & Mann, L. F. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5466890 · Cited by 1 · see citing works
Wu, Q., He, P., & Zhou, P. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5759446 · Cited by 1 · see citing works
Training for Technology: Adoption and Productive Use of Generative AI in Legal AnalysisPreprint
Chen, B. M., & Bao, H. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6217459 · Cited by 1 · see citing works
Artificial Intelligence and the Skill PremiumPreprint
Bloom, D. E., Klaus Prettner, A., Saadaoui, J., et al. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4826037
Dept., I. M. F. W. H. (2024) · IMF Staff Country Reports · doi:10.5089/9798400279966.002
Unslicing the Pie: AI Innovation and the Labor Share in European RegionsPreprint
Minniti, A., Prettner, K., & Venturini, F. (2024) · Social Science Research Network · doi:10.2139/ssrn.4971431
What is the Impact of AI on Firms?Preprint
Liu, J. (2024) · Social Science Research Network · doi:10.2139/ssrn.4668083
Work Skills for the Cognitive Economy
Caplin, A. (2024) · Springer eBooks · doi:10.1007/978-3-031-73042-9_6
Intelligence artificielle : entre craintes et espoirs, quelle réalité ?
Cette, G., & Chaney, E. (2025) · Enjeux numériques. · doi:10.3917/ennu.028.0040
Does Machine Learning Shift Job Requirements? Impacts on Entry-Level OpportunitiesPreprint
Liu, Y., Liu, C., & Huang, T. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5070648
Shifting Work Patterns with Generative AIPreprint
Dillon, E. W., Jaffe, S., Immorlica, N., & Stanton, C. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5216904
An Assessment of Occupational Exposure to Artificial Intelligence in ItalyPreprint
Zuanna, A. D., Dottori, D., Gentili, E., & Lattanzio, S. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5246679 · Cited by 1 · see citing works
Accelerating Digital Maturity in Brazilian Companies: Key Recommendations
Tadeu, H. F. B., Silva, J. T. M., Pinheiro, D., et al. (2025) · Archives of Business Research · doi:10.14738/abr.1305.18788
Work pluralism and the impacts of artificial intelligence on work
Guppy, D. (2025) · AI and Ethics · doi:10.1007/s43681-025-00772-y
AI in the Office and the Factory: Evidence from Administrative Software Registry DataPreprint
de Souza, G. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5375463
Artificial Intelligence Upskills Human-Centric and Fundamental Computer Science KnowledgePreprint
Masi, P., Liu, Y., & Liu, C. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5378737
Generative AI, Adoption, and the Structure of Tasks
Ales, L., Combemale, C., & Krishnan, R. (2025) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780198940272.013.0046
How Retrainable are AI-Exposed Workers?Preprint
Hyman, B., Lahey, B., Ni, K. X., & Pilossoph, L. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5404073
Artificial Intelligence scaleups and their knowledge background in European cities
Cséfalvay, Z., Papp, G., & Horlik, Z. (2025) · IEEE International Conference on Cognitive Infocommunications · doi:10.1109/coginfocom66819.2025.11200724
Die Auswirkungen der KI auf Österreichs Wirtschaft
Koch, P., & Graf, N. (2025) · Wirtschaftspolitische Blätter. · doi:10.2478/wpbl-2025-0011
Lee, M., Pei, X., Jin, S. H., et al. (2026) · PNAS Nexus · doi:10.1093/pnasnexus/pgag211
Evidence on the Adoption of Artificial Intelligence: The Role of Skills ShortagePreprint
Carioli, P., Dirk Czarnitzki, A., & Fernández, G. P. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.5999555
Søkelys på omstillinger i arbeidslivet
Isaksen, E. T., Røed, K., & Hermansen, Å. (2025) · Søkelys på arbeidslivet · doi:10.18261/spa.43.1.5
The Impact of Artificial Intelligence on Accounting Education
Chersan, I. (2025) · Studies in Business and Economics · doi:10.2478/sbe-2025-0046
Mitsudome, T., & Zhao, J. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6072729
- Authors
- Autor, D.
- Affiliations
- National Bureau of Economic Research (US)
- Corresponding author
- Autor, David
- ORCID
- Autor, David
- Venue
- National Bureau of Economic Research
- Publisher
- National Bureau of Economic Research
- Published
- 2024-02
- OpenAlex
- W4392183541
- Cited by
- 157
- References
- 0
- Citations by year
- 2026: 68 · 2025: 58 · 2024: 27 · 2023: 4
- Type
- report
- Language
- en
- Open access
- green
- doi.org
- Locations
- National Bureau of Economic Research (publishedVersion)
- SSRN Electronic Journal (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Smith Richardson Foundation
- Sid W. Richardson Foundation
- NOMIS Stiftung
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Labor market dynamics and wage inequality
- Social Sciences › Sociology and Political Science › Digital Economy and Work Transformation
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Keywords
- artificial intelligence, labor market, automation, globalization, decision-making, human expertise, job displacement, AI-assisted work
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-28.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-28.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
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