Impacts of generative artificial intelligence on the future of labor market: a systematic review
Open accessAbstract
Background Generative AI (GenAI) has the ability to autonomously collect and process data to generate contents, inform decisions, solve problems, and perform tasks that typically require human reasoning. This Systematic Review is conducted to examine the impacts of GenAI on the future of employment, focusing on concerns about rising unemployment, and the positive and negative perspectives outlined within exiting studies. The findings from this review can help identify research gaps, guide organizational planning, and improve AI governance frameworks and policies. Methods To identify relevant studies, the PubMed, Scopus, Web of Science, Embase, ScienceDirect and Google Scholar databases and repositories were systematically searched using the keywords: ‘Future of work’, ‘Job market’, ‘Generative AI’, ‘Generative AI’, and ‘ChatGPT’. Additionally, the reference lists of the identified related articles were reviewed for grey literature. Results Following the PRISMA guidelines, a total of 14 articles were selected for analysis. Selected studies have examined the positive and negative viewpoints on GenAI, together with pertinent challenges and opportunities. Accordingly, GenAI, when compliant with security and ethical issues, has the potential to increase efficiency whilst reducing costs and time. Conclusion Considering the rapid growth and adoption of AI technologies, examining the impacts of GenAI on the future of labor market is crucial. GenAI is likely to create new roles in some sectors yet reduce opportunities in others. A nuanced assessment of the impacts, and ongoing monitoring are vital for effective preparation and adaptation to the evolving work landscape in the presence of advanced AI technologies.
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TL;DR
This systematic review synthesized 14 studies on generative AI’s impacts on the future labor market, finding both positive potential—such as efficiency gains and cost/time reductions—and negative concerns including job displacement, inequality, and ethical/security risks. It concludes that GenAI may create new roles in some sectors while reducing opportunities in others, requiring nuanced assessment and ongoing monitoring.
Key findings
- From 1,683 database/repository records plus 15 manual records, 230 duplicates were removed, 723 articles were excluded at title/abstract screening, and 731 were excluded after full-text examination, leaving 14 studies for final evaluation.
- The review reports that GenAI, when compliant with security and ethical issues, has the potential to increase efficiency while reducing costs and time; positive viewpoints included improved scientific writing, healthcare responses, recruitment, education, and possible reduction of gender discrimination.
- Negative viewpoints and challenges included plagiarism and inaccuracy, need for human oversight, unequal access/digital divide, job insecurity, privacy and legal risks, hiring bias, possible exacerbation of the gender gap, automation/unemployment concerns, and widening inequalities.
- Cited evidence within the review includes Frey and Osborne’s prediction that AI could replace 47% of jobs in the United States; job-loss risk in low- and middle-income countries of 69% in India, 72% in Thailand, 77% in China, and 85% in Ethiopia; and Ayers et al.’s finding that chatbot responses were rated higher quality and more empathetic than physician responses (chatbot: 78.5%, 95% CI 72.3%–84.1%; physicians: 22.1%, 95% CI 16.4%–28.2%).
Methods
- PRISMA-guided systematic review; PubMed, Scopus, Web of Science, Embase, ScienceDirect, and Google Scholar were searched using keywords including “Future of Work,” “Job Market,” “Generative AI,” and “ChatGPT”; initial search was June 17, 2023, updated June 22, 2023, with no publication-year restriction and English-only inclusion.
- Inclusion required studies explicitly examining GenAI’s role in employment trends, job displacement, job creation, or workforce transformation, with full-text availability and sufficient data; reviews, duplicates, non-English articles, and studies lacking sufficient data were excluded.
- Quality was assessed with the 32-item STROBE checklist, with scores of 16 or above deemed average/high quality; two researchers independently screened and extracted data, with a third reviewer resolving disagreements; final synthesis was narrative because heterogeneity and lack of quantitative evidence precluded meta-analysis.
Limitations
- The paper states that rapid expansion of GenAI platforms and studies makes cross-sectional systematic reviews challenging; there were limited available articles at the final search; most selected articles emphasized high-income countries, limiting generalizability; English-only inclusion may overlook other insights; some studies were excluded for low quality; data and measurement gaps make predicting overall effects difficult; and heterogeneity plus lack of quantitative evidence prevented meta-analysis.
- Evident from the text: the search was completed in June 2023, so later GenAI studies are not captured, and most reviewed studies were analytically descriptive and published in 2023, limiting the empirical strength of the synthesized evidence.
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- Findingnone given§ 6.2. Study limitations · p. 11
The majority of selected articles have an emphasis on high-income countries.
“In addition, the majority of selected articles have an emphasis on high-income countries.”
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AI may cause employees to undertake the remaining stressful tasks, since other activities are now being handled by AI.
“However, AI may cause employees to undertake the remaining stressful tasks, since other activities are now being handled by AI (Wisskirchen et al., 2017).”
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- Interpretationreasoning§ 6.2. Study limitations · p. 11
The emphasis of the majority of selected articles on high-income countries may limit the generalizability of the current synthesized evidence.
“This may limit the generalizability of the current synthesized evidence.”
Quote in the paperSubstantial claim - Interpretationnone given§ 6.2. Study limitations · p. 11
There are data and measurement gaps in the field of GenAI, making it challenging to predict the overall effect of GenAI on the future of jobs and the labor market.
“There are also the data and measurement gaps in the field of GenAI, making it challenging to predict the overall effect of GenAI on the future of jobs and the labor market.”
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Findingown data§ 3. Results · p. 4An additional 15 related articles were identified through a manual search.
“An additional 15 related articles were also identified through a manual search.”
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Findingown data§ 3. Results · p. 4723 articles were excluded based on titles and abstracts.
“In the screening stage, the titles and abstracts of the remaining studies were examined, resulting in the exclusion of 723 articles, based on the inclusion and exclusion criteria.”
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Findingreasoning§ 1. Background, research gap, and rationale · p. 3There is a lack of comprehensive reviews in the current body of literature.
“Moreover, the existing studies are often fragmented in nature, and there is lack of comprehensive reviews in the current body of literature.”
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Findingown data§ 3. Results · p. 4Finally, 14 studies were included for the final evaluation.
“Finally, 14 studies were included for the final evaluation.”
- Also stated in: § A B S T R A C T · p. 1 · plain
“Following the PRISMA guidelines, a total of 14 articles were selected for analysis.”
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Findingnone given§ 1. Background, research gap, and rationale · p. 3Existing research remains fragmented, context-specific, and often focused solely on either the positive or negative impacts of GenAI adoption.
“Although several studies have examined the adoption of GenAI in different sectors and assessed their potential effects on the future of the labor market, existing research remains fragmented, context-specific, and often focused solely on either the positive or negative impacts of GenAI adoption.”
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Findingown data§ 3. Results · p. 4Most of the reviewed studies are analytically descriptive and were published in 2023.
“Most of the reviewed studies are analytically descriptive and were published in 2023 (Table 2).”
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Findingown data§ 3. Results · p. 4230 articles were omitted due to duplication.
“However, 230 articles were omitted due to duplication.”
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Findingown data§ A B S T R A C T · p. 1Selected studies have examined the positive and negative viewpoints on GenAI, together with pertinent challenges and opportunities.
“Selected studies have examined the positive and negative viewpoints on GenAI, together with pertinent challenges and opportunities.”
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Findingown data§ 3. Results · p. 4Following the initial search, a total of 1683 articles were identified through the search of selected databases and repositories.
“Following the initial search, a total of 1683 articles were identified through the search of selected databases and repositories.”
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Findingreasoning§ 6.2. Study limitations · p. 11There was a limited number of available articles in this field at the time of the final search.
“Accordingly, there was a limited number of available articles in this field at the time of the final search.”
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Findingnone given§ 6.2. Study limitations · p. 11A number of studies were excluded from this Systematic Review due to their low quality.
“Furthermore, a number of studies were excluded from this Systematic Review due to their low quality.”
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Premisecitation§ A B S T R A C T · p. 1GenAI has the ability to autonomously collect and process data to generate contents, inform decisions, solve problems, and perform tasks that typically require human reasoning.
“Generative AI (GenAI) has the ability to autonomously collect and process data to generate contents, inform decisions, solve problems, and perform tasks that typically require human reasoning.”
- Also stated in: § 1. Background, research gap, and rationale · p. 2 · plain
“GenAI models utilize deep learning and neural networks to generate content and analyze data, providing human-like responses (Biswas, 2023).”
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- Also stated in: § 1. Background, research gap, and rationale · p. 2 · plain
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Study design and conductown data§ 2.3. Quality evaluation · p. 4To evaluate the quality of the articles, the STROBE checklist was used, comprising 32 items.
“To evaluate the quality of the articles, a checklist suitable for observational studies was adopted. The Strengthening the Reporting of Observational Studies in Epidemiology checklist (STROBE) was used, which comprises of six scales: title, abstract, introduction, methods, results, and discussion. In total, this checklist consists of 32 subscales (items).”
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Interpretationreasoning§ A B S T R A C T · p. 1GenAI is likely to create new roles in some sectors yet reduce opportunities in others.
“GenAI is likely to create new roles in some sectors yet reduce opportunities in others.”
Quote in the paperNot a substantial claim- Rests on an assumption: The advent of GenAI has already demonstrated a significant impact on the nature of job roles and the evolution of workplace tasks.
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Study design and conductnone given§ 2.2. Study selection and data extraction · p. 4In cases where there was a difference of opinion between two researchers, the review of the article was completed with the support of a third reviewer to reach consensus.
“In cases where there was a difference of opinion between two researchers, the review of the article was completed with the support of a third reviewer to reach consensus.”
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Premisecitation§ 3.1. Positive viewpoint · p. 4Salvagno et al. (2023) reported that ChatGPT is capable of producing early drafts and addressing general pertinent considerations.
“ChatGPT is capable of producing early drafts and addressing general pertinent considerations.”
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Study design and conductreasoning§ 2.2. Study selection and data extraction · p. 4Reviews and data extraction from selected studies were completed by two researchers independently to avoid bias.
“Reviews and data extraction from selected studies were completed by two researchers independently.”
- Also stated in: § 2.2. Study selection and data extraction · p. 4 · plain
“to avoid bias, all the steps of the review process and data extraction were conducted independently by two researchers.”
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Premisecitation§ 3.1. Positive viewpoint · p. 4Salvagno et al. (2023) reported that the use of Generative AI, such as ChatGPT, can help researchers to be more efficient in writing scientific articles.
“They reported that the use of Generative AI, such as ChatGPT, can help researchers to be more efficient in writing scientific articles.”
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Interpretationreasoning§ A B S T R A C T · p. 1GenAI, when compliant with security and ethical issues, has the potential to increase efficiency whilst reducing costs and time.
“Accordingly, GenAI, when compliant with security and ethical issues, has the potential to increase efficiency whilst reducing costs and time.”
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Study design and conductnone given§ 2. Materials, and methods · p. 3This systematic review was conducted in accordance with the PRISMA protocol and reporting guidelines.
“This Systematic Review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol and reporting guidelines.”
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Premisecitation§ 3.1. Positive viewpoint · p. 4Ayers et al. (2023) reported that responses generated by chatbots were often of higher quality and more empathetic than those provided by doctors.
“The responses generated by chatbots were often of higher quality and more empathetic than those provided by doctors”
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Premisecitation§ 3.1. Positive viewpoint · p. 5Schulte Steinberg and Hohenberger (2023) argued that AI may play a role in reducing gender discrimination in the workplace.
“In the study by Schulte Steinberg and Hohenberger (2023), it is argued that AI may play a role in reducing gender discrimination in the workplace.”
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Premisecitation§ 6. Discussion · p. 10AI has the ability to take over hazardous and mundane tasks, allowing humans to spend more time on meaningful and innovative activities.
“AI has the ability to take over hazardous and mundane tasks, allowing humans to spend more time on meaningful and innovative activities (Jarrahi, 2018).”
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Interpretationnone given§ 6. Discussion · p. 10The study is the first systematic review on the potential impact of programs based on GenAI and its impacts on the future of jobs and the labor market.
“To the best of our knowledge, this study is the first systematic review on the potential impact of programs based on GenAI and its impacts on the future of jobs and the labor market.”
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Premisecitation§ 3.1. Positive viewpoint · p. 5Al-Medfa et al. (2023) reported that doctors have a largely positive attitude towards the use of AI in their daily work, particularly those with multiple specialties.
“Al-Medfa et al. (2023) reported that doctors, particularly those with multiple specialties, have a positive attitude towards the use of AI in their daily work.”
- Also stated in: § Table 2 ( continued ) · p. 7 · plain
“Despite of the adoption of AI in the field of medicine the attitude of largely positive.”
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- Also stated in: § Table 2 ( continued ) · p. 7 · plain
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Interpretationnone given§ 7. Conclusion · p. 11GenAI may create new specializations in content creation, leading to new job opportunities for people with AI-related knowledge.
“On the other hand, GenAI may create new specializations in content creation, leading to new job opportunities for people with AI-related knowledge.”
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Interpretationnone given§ 7.1. Future research pathways · p. 11Generative AI, as a powerful and multi-functional tool, will bring fundamental changes in the societies and businesses around the world.
“In general, Generative AI, as a powerful and multi-functional tool, will bring fundamental changes in the societies and businesses around the world.”
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Interpretationnone given§ 6.2. Study limitations · p. 11The rapid expansion of GenAI platforms, techniques, and studies related to GenAI would make cross-sectional systematic reviews such as this one challenging.
“The rapid expansion of GenAI platforms, techniques, and also studies related to GenAI would make cross-sectional systematic reviews such as this one challenging.”
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Interpretationnone given§ 7. Conclusion · p. 11One of the key contributions of Generative AI is the ability to generate content.
“One of the key contributions of this technology is the ability to generate content.”
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Premisecitation§ 3.1. Positive viewpoint · p. 4Salvagno et al. (2023) reported that ChatGPT can assist researchers in conducting literature review and instigating research on various topics.
“In addition, ChatGPT can assist researchers in conducting literature review and instigating research on various topics.”
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Premisenone given§ 3.1. Positive viewpoint · p. 4Research shows that using a chatbot to draft responses, later edited by doctors, can help improve the quality of healthcare.
“Moreover, research shows that using a chatbot to draft responses, that are later edited by doctors, can help improve the quality of healthcare.”
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Premisecitation§ 6. Discussion · p. 10AI, as a useful tool, can help improve employees' performance by providing individual feedback, thereby clearly playing a helpful and positive role in the work environment.
“AI, as a useful tool, can help improve employees ' performance by providing individual feedback, thereby clearly playing a helpful and positive role in the work environment (Jain et al., 2022).”
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Premisecitation§ Table 2 ( continued ) · p. 7Shao et al. (2022) found that the primary impacts of AI integration in manufacturing include an increase in demand for high-skilled labor and a relative reduction in demand for low-skilled workers, along with increased investments in research and development.
“The primary impacts include an increase in demand for high-skilled labor and a relative reduction in demand for low-skilled workers, along with increased investments in research and development”
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Premisecitation§ 3.1. Positive viewpoint · p. 5Khurana and Vaddi (2023) reported that the use of ChatGPT has the potential to enhance the production of scientific content by increasing response speed, thus saving users' time.
“Khurana and Vaddi (2023) reported that the use of ChatGPT has the potential to enhance the production of scientific content by increasing response speed, thus saving users ' time.”
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Premisecitation§ 3.1. Positive viewpoint · p. 5Berretta et al. (2023) emphasized that focusing on people can enable individuals to achieve desired organizational outcomes.
“Moreover, it is emphasized that focusing on people can enable individuals to achieve desired organizational outcomes.”
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Premisecitation§ Table 2 ( continued ) · p. 7Shao et al. (2022) reported that integration with other job analysis methods can provide more precise insights into the work environment and improve decision-making.
“integration with other job analysis methods can provide more precise insights into the work environment and improve decision-making.”
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Premisecitation§ Table 2 ( continued ) · p. 7Al-Medfa et al. (2023) found that concerns regarding job security exist.
“concerns regarding job security exist.”
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Premisecitation§ Table 2 ( continued ) · p. 7Wach et al. (2023) identified seven main risks including AI market deregulation, poor information quality, privacy violations, social manipulation, economic inequalities, and other social and geopolitical risks.
“This study identifies seven main risks including AI market deregulation, poor information quality, privacy violations, social manipulation, economic inequalities, and other social and geopolitical risks.”
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Premisecitation§ 6. Discussion · p. 10The rapid development of AI creates many economic benefits.
“The rapid development of AI creates many economic benefits (Damioli et al., 2021; Sequeira et al., 2021).”
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Interpretationreasoning§ 7. Conclusion · p. 11The use of Generative AI has significant effects on businesses and the labor market.
“The use of Generative AI has significant effects on businesses and the labor market.”
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Premisecitation§ 3.1. Positive viewpoint · p. 5Berretta et al. (2023) reported that AI is a key driver of change in the business sector.
“Berretta et al. (2023) reported that AI is a key driver of change in the business sector.”
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Premisecitation§ Table 2 ( continued ) · p. 7Kanitz et al. (2023) showed how clinicians and health professionals can leverage GenAI tools to improve change processes, such as planning initiatives, mobilizing stakeholders, and monitoring progress.
“Using a practical example of culture change, this article shows how clinicians and health professionals can leverage GenAI tools to improve change processes, such as planning initiatives, mobilizing stakeholders, and monitoring progress.”
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Interpretationcitation§ 3.1. Positive viewpoint · p. 4The higher quality and more empathetic responses from chatbots can potentially increase productivity and reduce burnout in healthcare.
“which can potentially increase productivity and reduce burnout in the field of healthcare.”
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Premisecitation§ Table 2 ( continued ) · p. 7Shao et al. (2022) demonstrated that the integration of AI with manufacturing activities leads to various changes in the labor market and employment structure.
“This article examines the impact of Artificial Intelligence (AI) technology on employment structures in smart manufacturing companies, demonstrating that the integration of AI with manufacturing activities leads to various changes in the labor market and employment structure.”
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Interpretationnone given§ 7. Conclusion · p. 11In some industries and occupations, Generative AI may replace employees in content creation activities and related tasks, reducing job opportunities in these sectors.
“In some industries and occupations, Generative AI may replace employees in content creation activities and related tasks, reducing job opportunities in these sectors.”
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Premisecitation§ 6. Discussion · p. 10In low- and middle-income countries (LMICs), the risk of job loss due to AI is even higher than in advanced economies, with risks being 69% in India, 72% in Thailand, 77% in China, and 85% in Ethiopia.
“In low- and middle-income countries (LMICs), the risk of job loss due to AI is even higher than in advanced economies, with risks being 69 % in India, 72 % in Thailand, 77 % in China, and 85 % in Ethiopia (Ernst et al., 2019).”
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Premisecitation§ 6. Discussion · p. 10The integration of AI in healthcare improves the quality and efficiency of services, making it a useful and effective assistant in related activities.
“For instance, the integration of AI in healthcare improves the quality and efficiency of services, making it a useful and effective assistant in related activities (Hazarika, 2020).”
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Premisecitation§ Table 2 ( continued ) · p. 7Kanitz et al. (2023) emphasized the need for training and skill acquisition for various stakeholders due to the increasing capability and versatility of GenAI systems.
“due to the increasing capability and versatility of GenAI systems, the need for training and skill acquisition for various is emphasized in this study”
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Premisecitation§ 3.1. Positive viewpoint · p. 5Fatani (2023) emphasized that the use of ChatGPT in scientific research, especially in medicine and dentistry, supports text translation, article summarization, and the creation of automatic drafts, reducing time and effort required.
“Fatani (2023) emphasized that the use of ChatGPT in scientific research, especially in the fields of medicine and dentistry, supports text translation, article summarization, and the creation of automatic drafts, reducing time and effort required.”
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Premisecitation§ 3.1. Positive viewpoint · p. 5Chen (2023) reported that employers and other stakeholders have positive opinions about the use of AI in the recruitment process.
“Chen (2023) also highlights the positive opinions of employers and other stakeholders about the use of AI in the recruitment process.”
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Interpretationreasoning§ 7. Conclusion · p. 11Changes in the labor market can lead to the creation of new job opportunities for people with appropriate expertise.
“Employees may also need more flexibility to cope with changes in the labor market, and these changes can lead to the creation of new job opportunities for people with appropriate expertise.”
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Premisecitation§ 3.1. Positive viewpoint · p. 5Chen (2023) reported that study participants believed that AI could improve the recruitment process, enabling the creation of optimal recruitment plans.
“The study participants believed that AI could improve the recruitment process, enabling the creation of optimal recruitment plans.”
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Interpretationcitation§ 3.1. Positive viewpoint · p. 5In general, using ChatGPT in scientific research can increase the efficiency and speed of the research process, contributing to the advancement of scientific fields.
“In general, using ChatGPT in scientific research can increase the efficiency and speed of the research process, contributing to the advancement of scientific fields.”
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The paper relies on this without support.
The advent of GenAI has already demonstrated a significant impact on the nature of job roles and the evolution of workplace tasks.
“The advent of GenAL, along with a plethora of other emerging platforms and tools, has already demonstrated a significant impact on the nature of job roles and the evolution of workplace tasks.”
The paper relies on this without support.
AI is capable of performing tasks that are challenging for humans.
“AI is capable of performing tasks that are challenging for humans.”
The paper relies on this without support.
Technologies that improve work efficiency are not necessarily intrinsically superior, and experimental technologies in the workplace may sometimes have a negative impact on the work environment.
“However, technologies that improve work efficiency are not necessarily intrinsically superior; Experimental technologies in the workplace may sometimes have a negative impact on the work environment.”
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The literature on the impact of GenAI on the work of knowledge workers indicates that strategies for combining digital competencies with unique human resources (e.g., relational skills, deep domain expertise) are particularly important, as are a willingness to learn and change professional roles continuously, and a willingness to treat GenAI as a collaborator.
“The literature on the impact of GenAI on the work of knowledge workers indicates that strategies for combining digital competencies with unique human resources (e.g., relational skills, deep domain expertise) are particularly important, as are a willingness to learn and change professional roles continuously, and a willingness to treat GenAI as a collaborator [36, 37].”
From The Entry of Autistic University Graduates into the Labor Market in the Era of Generative AI: Their Concerns and Strategies Regarding the Technology. Research in Progress: The Entry of Autistic Graduates into the Labor Market in the Era of GenAI (2026) · cites this paper as [36]
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 measuredIn the case of GenAI, social risks include concerns over information authenticity, employment displacement, academic misconduct, and technological advancement surpassing regulatory oversight.
“In the case of GenAI, social risks include concerns over information authenticity, employment displacement, academic misconduct, and technological advancement surpassing regulatory oversight (Hamed et al., 2024; Salari et al., 2025).”
From A two-step structural equation modeling and explainable machine learning framework for understanding university students’ adoption of generative AI: balancing intrinsic motivations and perceived risks (2026) · cites this paper as Salari et al., 2025
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Paper outline gives incorrect section numbers
MinorThe outline assigns the discussion to Section 4 and the conclusion to Section 5. The actual headings place them in Sections 6 and 7, respectively.
“Section 4 entails a critical discussion, highlighting the impli cations of the study, future research pathways, and study limitations. The paper is concluded in Section 5.”
“## 6. Discussion”
Results text points to the wrong table
MinorThe results text says Table 1 summarizes evidence from the selected studies, but Table 1 contains search strings. The study characteristics and results appear in Table 2.
“Table 1 outlines evidence reported within the selected studies i.e., positive attitudes, negative attitudes, chal lenges, and opportunities of using Generative AI in the context of job market.”
“Table 1 Search strings for different repositories.”
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Auto-Encoding Variational Bayes
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“Previous studies on automation and robotics (Acemoglu and Restrepo, 2022) and computerization (Frey & Osborne, 2017) that examined their impacts on employment can provide useful insights into the potential effects of GenAI technologies on the future of the labor market, as well as the possible…”
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
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The Skill Content of Recent Technological Change: An Empirical Exploration
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Robots and Jobs: Evidence from US Labor Markets
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“It was originally believed that tasks typically associated with occupations requiring high skills, such as complex manual tasks, and those using abstract thinking, creativity, and social intelligence, are outside the range of AI ’ s capabilities (Acemoglu & Restrepo, 2020; Autor et al., 2003).”
Large language models encode clinical knowledge
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“ChatGPT and DALL-E developed by OpenAI, and Gemini developed by Google are instances of GenAI technologies that have the ability to imitate human intelligence to some extent, by discovering relevant trends and patterns in different fields and domains (Liu et al., 2023; Singhal et al., 2023).”
Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making
Jarrahi, M. H. (2018) · Business Horizons · doi:10.1016/j.bushor.2018.03.007 · Cited by 2,772 · cited 1× · see citing works
“AI has the ability to take over hazardous and mundane tasks, allowing humans to spend more time on meaningful and innovative activities (Jarrahi, 2018).”
Ayers, J. W., Poliak, A., Dredze, M., Leas, E. C., Zhu, Z., Kelley, J. B., Faix, D. J., Goodman, A. M., Longhurst, C. A., Hogarth, M., et al. (2023) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2023.1838 · Cited by 2,613 · cited 4× · see citing works
“Ayers et al. (2023) in their research on integration of AI in healthcare, emphasize the importance of thorough regulation and human oversight.”
InfluentialPaLM: Scaling Language Modeling with Pathways
Chowdhery, A., Narang, S., Devlin, J., Bosma, M., Mishra, G., Roberts, A., Barham, P., Chung, H. W., Sutton, C., Gehrmann, S., et al. (2022) · arXiv · doi:10.48550/arxiv.2204.02311 · Cited by 2,590 · cited 1× · see citing works
“Large Language Models (LLMs), that are deep learning algorithms, have demonstrated remarkable performance in undertaking NLP tasks (Chowdhery et al., 2022; Chung et al., 2022; Brown et al., 2020).”
GPT-3: Its Nature, Scope, Limits, and Consequences
Floridi, L., & Chiriatti, M. (2020) · Minds and Machines · doi:10.1007/s11023-020-09548-1 · Cited by 2,519 · cited 1× · see citing works
“…songs, reports, forms, scripts, guides, creating codeless automated programs for businesses, and enhancing relationships between stakeholders and businesses through dialogue and service (Basic et al., 2023; Floridi & Chiriatti, 2020; Singh & Singh, 2023; Wang & Demszky, 2023; Zhang & Li, 2021).”
Students' voices on generative ai: perceptions, benefits, and challenges in higher education
Chan, C. K. Y., & Hu, W. (2023) · arXiv · doi:10.48550/arxiv.2305.00290 · Cited by 2,504 · cited 1× · see citing works
“GenAI as the umbrella term includes several tools and these tools have facilitated the integration of GenAI across different sectors such as healthcare, medicine, education, media, and tourism (Chan & Hu, 2023; Dehouche & Dehouche, 2023).”
Artificial intelligence in medicine
Hamet, P., & Tremblay, J. (2017) · Metabolism · doi:10.1016/j.metabol.2017.01.011 · Cited by 2,334 · see citing works
Students’ voices on generative AI: perceptions, benefits, and challenges in higher education
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“GenAI as the umbrella term includes several tools and these tools have facilitated the integration of GenAI across different sectors such as healthcare, medicine, education, media, and tourism (Chan & Hu, 2023; Dehouche & Dehouche, 2023).”
The Fall of the Labor Share and the Rise of Superstar Firms*
Autor, D., Dorn, D., Katz, L. F., Patterson, C., & Van Reenen, J. (2020) · The Quarterly Journal of Economics · doi:10.1093/qje/qjaa004 · Cited by 2,206 · see citing works
Experimental evidence on the productivity effects of generative artificial intelligence
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Scaling Instruction-Finetuned Language Models
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“Large Language Models (LLMs), that are deep learning algorithms, have demonstrated remarkable performance in undertaking NLP tasks (Chowdhery et al., 2022; Chung et al., 2022; Brown et al., 2020).”
Brougham, D., & Haar, J. (2018) · Journal of Management & Organization · doi:10.1017/jmo.2016.55 · Cited by 1,117 · cited 1× · see citing works
“Accordingly, this perception is associated with increased pessimism, depression, and the desire to leave the job (Brougham & Haar, 2018; Li et al., 2019; Vieitez et al., 2010).”
Automation, Algorithms, and Beyond: Why Work Design Matters More Than Ever in a Digital World
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“AI in the workplace has the potential to enhance well-being, motivation, job identity which, in turn, can lead to improved organizational performance and achievements (Huchler, 2022; Parker & Grote, 2022).”
Clinical information extraction applications: A literature review
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“NLP aims to enable computer systems to understand, process, and generate human language in a comprehensible and meaningful way (Fleuren & Alkema, 2015; Wang et al., 2018; Yim et al., 2016).”
Li, J., Bonn, M. A., & Ye, B. H. (2019) · Tourism Management · doi:10.1016/j.tourman.2019.02.006 · Cited by 884 · cited 2× · see citing works
“Accordingly, this perception is associated with increased pessimism, depression, and the desire to leave the job (Brougham & Haar, 2018; Li et al., 2019; Vieitez et al., 2010).”
Wang, Y., & Wang, Y. (2019) · Interactive Learning Environments · doi:10.1080/10494820.2019.1674887 · Cited by 830 · cited 1× · see citing works
“Moreover, the advancement of AI has provided a strong incentive for economic growth, increased the efficiency of economic development, and significantly impacted the labor market (Wang & Wang, 2022).”
Can artificial intelligence help for scientific writing?
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“Salvagno et al. (2023) argue that with proper and balanced use of ChatGPT, productivity and speed can be achieved in scientific writing.”
InfluentialDergaa, I., Chamari, K., Zmijewski, P., & Ben Saad, H. (2023) · Biology of Sport · doi:10.5114/biolsport.2023.125623 · Cited by 796 · cited 1× · see citing works
“…social and economic justice for some individuals in the American workforce, including females, Black, Indigenous, and People of Color (BIPOC) workers, employees from rural communities, and individuals with occupational disabilities (Dergaa et al., 2023; Flynn et al., 2021; Mann & Smith, 2017).”
What is co-creation? An interactional creation framework and its implications for value creation
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“In other words, the generated outputs of such systems create more diversity than a standard pattern (Ramaswamy & Ozcan, 2018).”
OECD Social, Employment and Migration Working Papers
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Role of Chat GPT in public health
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“Together with LLMs, these models can produce texts resembling human-written content, though they may also generate other accurate and/or fake contents (Biswas, 2023; Gupta et al., 2022; McGuffie & Newhouse, 2020).”
Wach, K., Duong, C. D., Ejdys, J., Kazlauskaitė, R., Korzynski, P., Mazurek, G., Paliszkiewicz, J., & Ziemba, E. (2023) · Entrepreneurial Business and Economics Review · doi:10.15678/eber.2023.110201 · Cited by 584 · cited 4× · see citing works
“Wach et al. (2023) report that one of the main concerns about AI is the lack of market regulation.”
InfluentialRevisiting the risk of automation
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“Nevertheless, the extent to which the job market is impacted by AI generally depends on how businesses adapt to digital transformation (Arntz et al., 2017).”
AI bot ChatGPT writes smart essays — should professors worry?
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Hawaii international conference on system sciences
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Data-centric Artificial Intelligence: A Survey
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“This progress was supported by a rapid increase in the availability of large datasets, which were deemed necessary for training these models (Zha et al., 2025).”
An Overview of Machine Learning
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What This Computer Needs Is a Physician: Humanism and Artificial Intelligence
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“In addition to these, AI can provide more accurate predictions, improve decision-making processes, and automate tedious tasks (Hamet & Tremblay, 2017; McCarthy, 2007; Verghese et al., 2018).”
Economics of Artificial Intelligence: Implications for the Future of Work
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Generality in artificial intelligence
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Introduction to Expert Systems
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The impact of artificial intelligence on labor productivity
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Füller, J., Hutter, K., Wahl, J., Bilgram, V., & Tekic, Z. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.121598 · Cited by 335 · cited 1× · see citing works
“From an organizational point of view, the use of AI in a new work structure leads to more intelligent organizational decisions (Sequeira et al., 2021) and promotes innovation (Füller et al., 2022).”
The impact of automation and artificial intelligence on worker well-being
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Is ChatGPT A Good Translator? Yes With GPT-4 As The Engine
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Macroeconomic conditions and opioid abuse
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“…of new jobs (Sorensen et al., 2021; Osoba & Welser, 2017) and the growing income inequalities (Levesque, 2018; McKay et al., 2019) associated with AI, there are troubling facts about the negative health effects (Hollingsworth et al., 2017; McGee & Thompson, 2015) of AI use in the workplace.”
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Natural Language Processing in Oncology: A Review
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“NLP aims to enable computer systems to understand, process, and generate human language in a comprehensible and meaningful way (Fleuren & Alkema, 2015; Wang et al., 2018; Yim et al., 2016).”
Can HR adapt to the paradoxes of artificial intelligence?
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“However, Charlwood and Guenole (2022) argue that AI may take over decisions which could reduce the sense of choice and control of users.”
AN OVERVIEW OF MACHINE LEARNING
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“Since some positions are replaced by AI technologies, it is likely that these technologies will significantly impact employees ’ career development, which can be seen as a source of stress in modern work environments (Brougham & Haar, 2020).”
Next generation digital platforms : toward human-AI hybrids
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“Considering the anxieties about job security (Frey & Osborne, 2017), the unequal distribution of new jobs (Sorensen et al., 2021; Osoba & Welser, 2017) and the growing income inequalities (Levesque, 2018; McKay et al., 2019) associated with AI, there are troubling facts about the negative health…”
What’s in a text-to-image prompt? The potential of stable diffusion in visual arts education
Dehouche, N., & Dehouche, K. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e16757 · Cited by 217 · cited 1× · see citing works
“GenAI as the umbrella term includes several tools and these tools have facilitated the integration of GenAI across different sectors such as healthcare, medicine, education, media, and tourism (Chan & Hu, 2023; Dehouche & Dehouche, 2023).”
A commentary of GPT-3 in MIT Technology Review 2021
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Artificial intelligence: opportunities and implications for the health workforce
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“For instance, the integration of AI in healthcare improves the quality and efficiency of services, making it a useful and effective assistant in related activities (Hazarika, 2020).”
Application of text mining in the biomedical domain
Fleuren, W., & Alkema, W. B. L. (2015) · Methods · doi:10.1016/j.ymeth.2015.01.015 · Cited by 194 · cited 1× · see citing works
“NLP aims to enable computer systems to understand, process, and generate human language in a comprehensible and meaningful way (Fleuren & Alkema, 2015; Wang et al., 2018; Yim et al., 2016).”
Fossen, F. M., & Sorgner, A. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.121381 · Cited by 191 · cited 1× · see citing works
“AI can bring job stability and more income, especially for individuals with more education and experience (Fossen & Sorgner, 2022).”
Better by You, better than Me? ChatGPT-3 as writing assistance in students’ essays.
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Fundamentals of Expert Systems
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“That said, the introduction of Expert Systems in the 1980s (Myers, 1986) was deemed revolutionary, even though these systems were mostly limited to supporting very specific tasks (Buchanan & Smith, 1988).”
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Hendler, J. (2008) · IEEE Intelligent Systems · doi:10.1109/mis.2008.20 · Cited by 170 · cited 1× · see citing works
“John McCarthy coined the term AI for the first time in 1956 (McCarthy, 1987), followed by a period of AI winter in the 1980s when there was little interest or investment due to a lack of vision regarding its future prospects (Hendler, 2008).”
Collaboration among recruiters and Artificial Intelligence: Removing human prejudices in employment
Chen, Z. (2023) · Cognition, Technology & Work · doi:10.1007/s10111-022-00716-0 · Cited by 164 · cited 3× · see citing works
“Chen (2023) raises similar concerns related to job security, legal privacy risks, and bias in the hiring process when adopting AI systems.”
InfluentialMantello, P., Ho, M.-T., Nguyen, M.-H., & Vuong, Q. (2021) · Ai & Society · doi:10.1007/s00146-021-01290-1 · Cited by 159 · cited 1× · see citing works
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McGee, R. E., & Thompson, N. J. (2015) · Preventing Chronic Disease · doi:10.5888/pcd12.140451 · Cited by 155 · cited 1× · see citing works
“…of new jobs (Sorensen et al., 2021; Osoba & Welser, 2017) and the growing income inequalities (Levesque, 2018; McKay et al., 2019) associated with AI, there are troubling facts about the negative health effects (Hollingsworth et al., 2017; McGee & Thompson, 2015) of AI use in the workplace.”
Artificial Intelligence and Its Implications for Income Distribution and Unemployment
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Artificial Intelligence and Employment: New Cross-Country Evidence
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“The principal purpose of AI technologies is to replicate human capabilities, including learning, interaction, problem solving, decision making, persuasion, and implementation of actions (Huang et al., 2019; Rai et al., 2019; Schultz, 1992).”
Educational Research and AI-Generated Writing: Confronting the Coming Tsunami
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Alan Turing and the development of Artificial Intelligence
Muggleton, S. (2014) · AI Communications · doi:10.3233/aic-130579 · Cited by 136 · cited 1× · see citing works
“The period immediately following the Second World War and the advent of the Turing Test is often marked as the early days of AI (Fox et al., 2014).”
Neeley, T. B., & Leonardi, P. M. (2017) · Strategic Management Journal · doi:10.1002/smj.2739 · Cited by 136 · cited 1× · see citing works
“Working with AI in the workplace leads to improved information exchange, increased flexibility in employees ’ work, and the possibility of remote work (Neeley & Leonardi, 2018).”
ChatGPT for Future Medical and Dental Research
Fatani, B. (2023) · Cureus · doi:10.7759/cureus.37285 · Cited by 128 · cited 4× · see citing works
“Fatani (2023) also identified reliability issues in the use of ChatGPT in scientific research, especially in the fields of medicine and dentistry.”
InfluentialWlodarczyk, V., Pinabiaux, C., & Goumi, A. (2026) · HAL (Le Centre pour la Communication Scientifique Directe) · doi:10.1146/annurev · Cited by 125 · see citing works
A Review on Implementation Issues of Rule-based Chatbot SystemsPreprint
Thorat, S. A., & Jadhav, V. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3567047 · Cited by 123 · cited 1× · see citing works
“Chatbots, including ChatGPT, receive user requests (also referred to as prompts) as input and respond through either voice or text (Nithuna & Laseena, 2020; Thorat & Jadhav, 2020).”
Nath, S., Marie, A., Ellershaw, S., Korot, E., & Keane, P. A. (2022) · British Journal of Ophthalmology · doi:10.1136/bjophthalmol-2022-321141 · Cited by 116 · cited 4× · see citing works
“The potential applications of ChatGPT and its predecessors, such as GPT-3, are numerous.”
InfluentialAn AI-based open recommender system for personalized labor market driven education
Tavakoli, M., Faraji, A., Vrolijk, J., Molavi, M., Mol, S. T., & Kismihók, G. (2022) · Advanced Engineering Informatics · doi:10.1016/j.aei.2021.101508 · Cited by 113 · cited 3× · see citing works
“The positive perspective presented in the study of Tavakoli et al. (2022) highlights that AI, as an innovative technology, can effectively contribute to improving educational processes and developing skills.”
InfluentialAutomated Facial Recognition Technology: Recent Developments and Approaches to Oversight
Mann, M., & Smith, M. (2017) · University of New South Wales law journal · doi:10.53637/kavv4291 · Cited by 112 · cited 1× · see citing works
“…social and economic justice for some individuals in the American workforce, including females, Black, Indigenous, and People of Color (BIPOC) workers, employees from rural communities, and individuals with occupational disabilities (Dergaa et al., 2023; Flynn et al., 2021; Mann & Smith, 2017).”
Evaluating the logical reasoning ability of chatgpt and GPT-4
Liu, H., Ning, R., Teng, Z., Liu, J., Zhou, Q., & Zhang, Y. (2023) · arXiv · doi:10.48550/arxiv.2304.03439 · Cited by 100 · see citing works
Adewale, M. D., Azeta, A. A., Abayomi-Alli, A. A., & Sambo-Magaji, A. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e40025 · Cited by 97 · cited 1× · see citing works
“The performance of these models depends on the accuracy of the questions, the quality of the data, and the relevance of the context (Adewale et al., 2024).”
Tyson, L. D., & Zysman, J. (2022) · Daedalus · doi:10.1162/daed_a_01914 · Cited by 96 · cited 1× · see citing works
“Although AI contributes to productivity and economic growth, it increases inequality, reduces good jobs and negatively impacts wages for workers with low or average skills (Tyson & Zysman, 2022).”
Deskilling, Upskilling, and Reskilling: a Case for Hybrid Intelligence
Rafner, J. F., Dellermann, D., Hjorth, A., Verasztó, D., Kampf, C. E., Mackay, W. E., & Sherson, J. F. (2021) · Morals & Machines · doi:10.5771/2747-5174-2021-2-24 · Cited by 89 · cited 1× · see citing works
“Furthermore, AI contributes to substitution (80), res-killing, and deskilling (Huang & Sharif, 2017; Rafner et al., 2022).”
The Radicalization Risks of GPT-3 and Advanced Neural Language Models
McGuffie, K., & Newhouse, A. (2020) · arXiv · doi:10.48550/arxiv.2009.06807 · Cited by 86 · cited 1× · see citing works
“Together with LLMs, these models can produce texts resembling human-written content, though they may also generate other accurate and/or fake contents (Biswas, 2023; Gupta et al., 2022; McGuffie & Newhouse, 2020).”
Effective human–AI work design for collaborative decision-making
Jain, R., Garg, N., & Khera, S. N. (2023) · Kybernetes · doi:10.1108/k-04-2022-0548 · Cited by 85 · cited 1× · see citing works
“AI, as a useful tool, can help improve employees ’ performance by providing individual feedback, thereby clearly playing a helpful and positive role in the work environment (Jain et al., 2022).”
Emotional AI and the future of wellbeing in the post-pandemic workplace
Mantello, P. A., & Ho, T. M. (2023) · AI & Society · doi:10.1007/s00146-023-01639-8 · Cited by 79 · see citing works
ChatGPT: Systematic Review, Applications, and Agenda for Multidisciplinary Research
Singh, H., & Singh, A. (2023) · Journal of Chinese Economic and Business Studies · doi:10.1080/14765284.2023.2210482 · Cited by 77 · cited 1× · see citing works
“…songs, reports, forms, scripts, guides, creating codeless automated programs for businesses, and enhancing relationships between stakeholders and businesses through dialogue and service (Basic et al., 2023; Floridi & Chiriatti, 2020; Singh & Singh, 2023; Wang & Demszky, 2023; Zhang & Li, 2021).”
Kanitz, R., Gonzalez, K., Briker, R., & Straatmann, T. (2023) · The Journal of Applied Behavioral Science · doi:10.1177/00218863231168974 · Cited by 69 · cited 1× · see citing works
“Kanitz et al. (2023) highlight the significant potential of GenAI, considering it as a leading technology with exceptional capabilities to improve and transform processes, and techniques, and support organizational change.”
Fukumura, Y. E., Gray, J. M., Lucas, G., Becerik-Gerber, B., & Roll, S. C. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18041690 · Cited by 61 · cited 4× · see citing works
“Fukumura et al. (2021) also raised concerns about the major changes that AI may introduce to job requirements, which may lead to job losses for some individuals.”
InfluentialHealth Equity and a Paradigm Shift in Occupational Safety and Health
Flynn, M. A., Check, P., Steege, A. L., Sivén, J., & Syron, L. N. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19010349 · Cited by 58 · cited 1× · see citing works
“…social and economic justice for some individuals in the American workforce, including females, Black, Indigenous, and People of Color (BIPOC) workers, employees from rural communities, and individuals with occupational disabilities (Dergaa et al., 2023; Flynn et al., 2021; Mann & Smith, 2017).”
Khan, S., Mehmood, S., & Khan, S. U. (2024) · Journal of Manufacturing Technology Management · doi:10.1108/jmtm-06-2024-0302 · Cited by 58 · cited 1× · see citing works
“On the other hand, in industries such as manufacturing and medical sector, the advancements in GenAI may focus on enhancing efficiency and performance (Deng et al., 2024; Khan, Mehmood, & Khan, 2024).”
Review on Implementation Techniques of Chatbot
Nithuna, S., & A, L. C. (2020) · doi:10.1109/iccsp48568.2020.9182168 · Cited by 54 · cited 1× · see citing works
“Chatbots, including ChatGPT, receive user requests (also referred to as prompts) as input and respond through either voice or text (Nithuna & Laseena, 2020; Thorat & Jadhav, 2020).”
Inclusive Growth in the Era of Automation and AI: How Can Taxation Help?
Merola, R. (2022) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2022.867832 · Cited by 54 · cited 1× · see citing works
“Accordingly, as a notable advantage of AI is that it creates new job opportunities in the digital economy, including roles such as AI programmers, e-commerce specialists, software developers, crowd workers, influencers, and social media workers (Merola, 2022).”
Al-Medfa, M. K., Al-Ansari, A. M. S., Darwish, A. H., Qreeballa, T. A., & Jahrami, H. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e14744 · Cited by 54 · see citing works
Wang, R., & Demszky, D. (2023) · doi:10.35542/osf.io/5vrby · Cited by 50 · see citing works
Schlögl, L., & Sumner, A. (2018) · SSRN Electronic Journal · doi:10.2139/ssrn.3208816 · Cited by 49 · cited 1× · see citing works
“From employees ’ perspective, AI in new organizational structures impacts their employment (Schlogl & Sumner, 2018; Acemoglu & Restrepo, 2020), income (Autor et al., 2020) and well-being (Nazareno & Schiff, 2021).”
Artificial Intelligence in Public Health: Current Trends and Future Possibilities
Giansanti, D. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph191911907 · Cited by 47 · cited 2× · see citing works
“ChatGPT has approximately 175 billion parameters and uses natural language recognition through deep learning techniques (Giansanti, 2022).”
Language models: past, present, and future
Li, H. (2022) · Communications of the ACM · doi:10.1145/3490443 · Cited by 45 · cited 1× · see citing works
“Accordingly, LLMs are AI neural network models that can perform various NLP tasks (Li, 2022).”
Towards new frontiers of healthcare systems research using artificial intelligence and generative AI
Chatterjee, S., Fruhling, A., Kotiadis, K., & Gärtner, D. (2024) · Health Systems · doi:10.1080/20476965.2024.2402128 · Cited by 40 · cited 1× · see citing works
“In addition to these, in the healthcare sector, GenAI technologies demonstrate the capabilities to diagnose diseases, support analyses of medical images, and production of novel and innovative medical treatments and drugs (Chatterjee et al., 2024).”
Generative AI for medical research
Morley, J., DeVito, N., & Zhang, J. (2023) · BMJ · doi:10.1136/bmj.p1551 · Cited by 39 · cited 1× · see citing works
“The capability of GenAI algorithms to generate data and adapt to new tasks allows them to seamlessly transition and perform diverse tasks without the need for retraining (Morley et al., 2023).”
Wang, R., & Demszky, D. (2023) · Workshop on Innovative Use of NLP for Building Educational Applications · doi:10.18653/v1/2023.bea-1.53 · Cited by 37 · see citing works
From ‘Labour Dividend’ to ‘Robot Dividend’: Technological Change and Workers’ Power in South China
Huang, Y., & Sharif, N. (2017) · Agrarian South Journal of Political Economy A triannual Journal of Agrarian South Network and CARES · doi:10.1177/2277976017721284 · Cited by 36 · cited 1× · see citing works
“Furthermore, AI contributes to substitution (80), res-killing, and deskilling (Huang & Sharif, 2017; Rafner et al., 2022).”
Vieitez, J. C., Carcía, A. D. L. T., & Rodríguez, M. T. (2001) · Behaviour and Information Technology · doi:10.1080/01449290120718 · Cited by 36 · cited 1× · see citing works
“Accordingly, this perception is associated with increased pessimism, depression, and the desire to leave the job (Brougham & Haar, 2018; Li et al., 2019; Vieitez et al., 2010).”
Better by you, better than me, chatgpt3 as writing assistance in students essaysPreprint
Bašić, Ž., Banovac, A., Kružić, I., et al. (2023) · arXiv (Cornell University) · doi:10.48550/arxiv.2302.04536 · Cited by 35 · see citing works
The job perception inventory: Considering human factors and needs in the design of human-AI work
Berretta, S., Tausch, A., Peifer, C., & Kluge, A. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1128945 · Cited by 35 · cited 4× · see citing works
“Berretta et al. (2023) argue that the impact of AI on workers, particularly regarding the needs, skills and job identity, has not been sufficiently considered in the development and implementation process.”
InfluentialAI employment decision-making: integrating the equal opportunity merit principle and explainable AI
Chan, G. K. Y. (2022) · AI & Society · doi:10.1007/s00146-022-01532-w · Cited by 34 · cited 1× · see citing works
“AI systems in the recruitment process reduce multiple steps of job advertisements, shortlisting, interviewing, and hiring (Chan, 2022).”
Robots are not always bad for employment and wages
Sequeira, T. N., Garrido, S., & Santos, M. (2021) · International Economics · doi:10.1016/j.inteco.2021.06.001 · Cited by 33 · cited 2× · see citing works
“From an organizational point of view, the use of AI in a new work structure leads to more intelligent organizational decisions (Sequeira et al., 2021) and promotes innovation (Füller et al., 2022).”
GenAI and me: the hidden work of building and maintaining an augmentative partnership
Boulus-Rødje, N., Cranefield, J., Doyle, C., & Fleron, B. (2024) · Personal and Ubiquitous Computing · doi:10.1007/s00779-024-01810-y · Cited by 30 · cited 1× · see citing works
“…models to perform tasks such as analysis, content production, text generation, translation, summarization, text expansion, and rewriting have garnered significant attention from users across various fields (Boulus-R ø dje et al., 2024; Jiao et al., 2023; Sto-kel-Walker, 2022; Tate et al., 2023).”
Three scenarios for the future of work
Méda, D. (2019) · International Labour Review · doi:10.1111/ilr.12157 · Cited by 25 · cited 1× · see citing works
“An analysis shows that progress in the field of robotics and AI may lead to the loss of jobs or a radical change in the way tasks are completed, ultimately increasing income and widening the income gap (Korinek & Stiglitz, 2018; M ´ EDA, 2019).”
Komplementäre Arbeitsgestaltung. Grundrisse eines Konzepts zur Humanisierung der Arbeit mit KI
Huchler, N. (2022) · Zeitschrift für Arbeitswissenschaft · doi:10.1007/s41449-022-00319-5 · Cited by 25 · cited 1× · see citing works
“AI in the workplace has the potential to enhance well-being, motivation, job identity which, in turn, can lead to improved organizational performance and achievements (Huchler, 2022; Parker & Grote, 2022).”
Can AI close the gender gap in the job market? Individuals' preferences for AI evaluations
Steinberg, A. L. S., & Hohenberger, C. (2023) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2023.100287 · Cited by 24 · cited 4× · see citing works
“In the study by Schulte Steinberg and Hohenberger (2023), it is argued that AI may play a role in reducing gender discrimination in the workplace.”
InfluentialShepherd, C. (2006) · Journal of Occupational and Organizational Psychology · doi:10.1348/096317906x105742 · Cited by 23 · cited 1× · see citing works
“Nonetheless, changes in the work environment resulting from GenAI may lead to a sense of insecurity among employees (Shepherd, 2006).”
Parikh, N. (2023) · arXiv.org · doi:10.48550/arxiv.2306.04605 · Cited by 23 · cited 1× · see citing works
“GenAI, as a strand of AI, is recognized as a powerful technology with a positive effect on software product management, including generating ideas, reducing development costs and time, improving product quality, and enhancing user experience (Parikh, 2023).”
Copyright, text & data mining and the innovation dimension of generative AI
Tyagi, K. (2024) · Journal of Intellectual Property Law & Practice · doi:10.1093/jiplp/jpae028 · Cited by 23 · cited 1× · see citing works
“Although there are some concerns associated with intellectual property rights in these sectors (Tyagi, 2024), there are certainly new dimensions that could be explored in various roles N. Salari et al. through adoption of GenAI technology.”
Khan, M. I., Parahyanti, E., & Hussain, S. M. A. M. (2024) · Asian Journal of Logistics Management · doi:10.14710/ajlm.2024.24671 · Cited by 23 · cited 2× · see citing works
“In the organizational context, GenAI has demonstrated abilities for optimizing processes and reducing the human resources costs (Khan, Parahyanti, & Hussain, 2024).”
ChatGPT From the Perspective of an Academic Oral and Maxillofacial Radiologist
Khurana, S., & Vaddi, A. (2023) · Cureus · doi:10.7759/cureus.40053 · Cited by 16 · cited 4× · see citing works
“Saving time and speeding up decision-making processes are among the opportunities of using Generative AI such as ChatGPT in jobs and the labor market (Khurana & Vaddi, 2023).”
InfluentialRieth, M., & Hagemann, V. (2021) · Gruppe Interaktion Organisation Zeitschrift für Angewandte Organisationspsychologie (GIO) · doi:10.1007/s11612-021-00561-1 · Cited by 14 · cited 1× · see citing works
“Never-theless, by taking over a wide range of tasks, AI could turn humans from active employees to passive controllers (Rieth & Hagemann, 2021).”
Impact of AI on employment in manufacturing industry
Shao, S., Shi, Z., & Shi, Y. (2022) · International Journal of Financial Engineering · doi:10.1142/s2424786321410139 · Cited by 13 · cited 2× · see citing works
“Shao et al. (2022) also emphasize pertinent challenges such as the increase in the costs of low-skilled labor and the necessity of optimizing the structure of the labor force in the transformation process.”
Empirical Framework for Automatic Detection of Neural and Human Authored Fake News
Gupta, A., Singhal, A., Mahajan, A., Jolly, A., & Kumar, S. (2022) · International Conference on Intelligent Computing and Control Systems (ICICCS) · doi:10.1109/iciccs53718.2022.9788271 · Cited by 9 · cited 1× · see citing works
“Together with LLMs, these models can produce texts resembling human-written content, though they may also generate other accurate and/or fake contents (Biswas, 2023; Gupta et al., 2022; McGuffie & Newhouse, 2020).”
Pilaniwala, P. (2024) · International Conference on Automation, Computing and Renewable Systems (ICACRS) · doi:10.1109/icacrs62842.2024.10841633 · Cited by 6 · see citing works
Sinha, D. K., & Sinha, G. (2024) · CRC Press eBooks · doi:10.1201/9781003465775-19 · Cited by 5 · see citing works
Revolutionizing Digital Health with Generative AI: User Experiences and Healthcare Performance
Deng, K., Liu, X., Dongming Xu, A., & Sengupta, A. (2024) · IEEE International Conference on Medical Artificial Intelligence (MedAI) · doi:10.1109/medai62885.2024.00055 · Cited by 4 · cited 1× · see citing works
“On the other hand, in industries such as manufacturing and medical sector, the advancements in GenAI may focus on enhancing efficiency and performance (Deng et al., 2024; Khan, Mehmood, & Khan, 2024).”
Correction to: Emotional AI and the future of wellbeing in the post-pandemic workplace
Mantello, P. A., & Ho, T. M. (2024) · AI & Society · doi:10.1007/s00146-024-01890-7 · Cited by 3 · see citing works
Mathematical Frameworks for Generative AI Applications
Fahim, Y., & Maji, S. K. (2025) · Information systems engineering and management · doi:10.1007/978-3-031-76710-4_3 · Cited by 1 · see citing works
Barbero (2014) · doi:10.1016/j · Cited by 1 · see citing works
Wang, R. E., & Demszky, D. (2023) · arXiv · doi:10.48550/arxiv.2306.03090 · cited 1×
“…songs, reports, forms, scripts, guides, creating codeless automated programs for businesses, and enhancing relationships between stakeholders and businesses through dialogue and service (Basic et al., 2023; Floridi & Chiriatti, 2020; Singh & Singh, 2023; Wang & Demszky, 2023; Zhang & Li, 2021).”
Flagged first, then by citations
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- Georgieff, 2022, AI and employment: New cross-country evidence, Frontiers in AI, 5
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Sorted by citations
Li, K. C., Chong, G. H. L., Wong, B. T. M., & Wu, M. M.-F. (2025) · Education Sciences · doi:10.3390/educsci15070798 · Cited by 26 · see citing works
“This includes introducing frameworks that emphasise transparency, safety, and the responsible use of AI tools (Salari et al., 2025).”
Generative AI for predictive breeding: hopes and caveats
Miguel Pérez-enciso, A., Zingaretti, L. M., & Campos, G. D. L. (2025) · Theoretical and Applied Genetics · doi:10.1007/s00122-025-04942-8 · Cited by 17 · see citing works
“It is also a big business, with capacity to influence all aspects of economic activity (Precedence Research 2024; Salari et al. 2025).”
Higher Education <scp>AI</scp> Policies—A Document Analysis of University Guidelines
Humble, N. (2025) · European Journal of Education · doi:10.1111/ejed.70214 · Cited by 16 · see citing works
“For example, replacing or reducing the needs of employees in certain content creating occupations (Salari et al. 2025).”
InfluentialExplainable artificial intelligence in the talent recruitment process-a literature review
Zhang, G., Pan, L., Tang, F., & Yao, F. (2025) · Cogent Business & Management · doi:10.1080/23311975.2025.2570881 · Cited by 21 · see citing works
Bankins, S., Weaver, A., Marrone, M., Restubog, S., & Woo, S. E. (2025) · Information Manager (The) · doi:10.1016/j.im.2025.104272 · Cited by 12 · see citing works
Kavargyris, D. C., Georgiou, K., Papaioannou, E., Moysiadis, T., Mittas, N., & Angelis, L. (2025) · Algorithms · doi:10.3390/a18090554 · Cited by 16 · see citing works
Destructive Creation of New Invasive Technologies: Generative Artificial Intelligence Behaviour
Coccia, M. (2025) · Technologies · doi:10.3390/technologies13070261 · Cited by 9 · see citing works
Zeng, D., Xu, X., Zhu, T., Li, Y., & Li, Q. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1743722 · Cited by 7 · see citing works
Gregory, P. A. M., & Austin, Z. (2025) · Pharmacy · doi:10.3390/pharmacy13060152 · Cited by 4 · see citing works
Aivaz, K.-A., Teodorescu, D., & Radu, O. R. (2026) · Systems · doi:10.3390/systems14030323 · Cited by 4 · see citing works
Katsigiannis, G., Panoutsopoulos, G., Perrea, A., & Detopoulou, P. (2026) · Journal of Nutrition · doi:10.1016/j.tjnut.2026.101667 · Cited by 4 · see citing works
Associations between generative artificial intelligence usage, Job Demands, Job Control and Burnout
Thorpe, D., Bean, C., & Krieg, J. (2025) · AI & Society · doi:10.1007/s00146-025-02764-2 · Cited by 3 · see citing works
Bouha, C., & Benhayoun-Sadafiyine, L. (2026) · Knowledge and Process Management · doi:10.1002/kpm.70063 · Cited by 5 · see citing works
“…automation and are now widely used for sophisticated activities such as writing, information retrieval, and detailed task assistance, with substantial adoption among knowledge workers across sectors such as research, management, and professional services (Salari et al. 2025; Zhang et al. 2026).”
Biju, T. E., Ambady, A., & Thomas, K., V (2026) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2026.1785979 · Cited by 2 · see citing works
“Empirical evidences support that such conditions deteriorate job satisfaction, organizational commitment and psychological wellbeing, resulting emotional exhaustion, pessimism and withdrawal intentions among employees operating in AI-intensive environments (Chen et al., 2025; Salari et al., 2025).”
Harnessing Generative AI Decision Support for Environmental and Social Supply Chain Sustainability
Ellahi, R. M., Wang, K., Qureshi, J. A., & Wood, L. C. (2025) · Sustainable Development · doi:10.1002/sd.70511 · Cited by 1 · see citing works
Fatmy, V. (2026) · Journal of Management & Governance · doi:10.1007/s10997-026-09784-0 · Cited by 1 · see citing works
Rüschoff, B., Eichenberg, T., Staab, T., & Vogelsang, M. (2026) · Zeitschrift für Arbeitswissenschaft · doi:10.1007/s41449-026-00528-2 · Cited by 1 · see citing works
Identifying the policy foci via co-word networks in the frontier fields of GenAI and GeneEdit
He, Y., Hou, X., Pu, H., Ye, F. Y., & Zhao, S. X. (2026) · Journal of Informetrics · doi:10.1016/j.joi.2026.101815 · Cited by 1 · see citing works
Trusting the machine as a partner: Human-AI collaboration and hallucination risk
Lee, W.-J. (2026) · Asia Pacific Journal of Marketing and Logistics · doi:10.1108/apjml-12-2025-2750 · Cited by 1 · see citing works
Shi-jin, L., Li, R., & Liu, J. (2026) · Higher Education Quarterly · doi:10.1111/hequ.70161 · Cited by 1 · see citing works
Patel, H. A., & Verma, S. (2026) · International Journal of Minerals Metallurgy and Materials · doi:10.1007/s12613-026-3510-x · Cited by 1 · see citing works
Matulewski, J., Sikorski, Ł., & Baczała, D. (2026) · Proceedings of the 63rd ACM Conference on Computers and People Research · doi:10.1145/3768310.3807803
“…that strategies for combining digital competencies with unique human resources (e.g., relational skills, deep domain expertise) are particularly important, as are a willingness to learn and change professional roles continuously, and a willingness to treat GenAI as a collaborator [36, 37].”
Faizi, W. A., Kim, D., Dogan, C., Park, S., & Kim, J. (2026) · Telematics and Informatics · doi:10.1016/j.tele.2026.102445
Who Did AI Leave Behind? Social Inequality Perceptions in the Use of AI Tools in Croatia
Čavar, I., Brezovec, E., & Dubreta, N. (2026) · Interdisciplinary Description of Complex Systems · doi:10.7906/indecs.24.1.2
“Although public debate on AI often centres on ethical dilemmas [28], labour transformation [29], or educational impact [30], little is known about how the general population perceives AI’s usefulness.”
Rouco, C., Figueiredo, P., Gonçalves, C. P., & al., A. C. E. (2026) · Sustainability · doi:10.3390/su18083939
Thetlek, R., Shaengchart, Y., & Limna, P. (2026) · Corporate Governance and Sustainability Review · doi:10.22495/cgsrv10i3p8
Generative AI and the Future of High-Skill vs. Low-Skill Work: A Sector-Wise Forecasting Model
Bansal, O., Rajput, N., Kumar, B., & Tripathi, M. (2026) · International Conference on Intelligent Systems in Engineering, Secured Systems and Cybersecurity (ICISESSC) · doi:10.1109/icisessc68634.2026.11542754
Singla, L., Laddhu, S., Tiwari, S., & Goel, S. (2026) · International Conference on Intelligent Systems in Engineering, Secured Systems and Cybersecurity (ICISESSC) · doi:10.1109/icisessc68634.2026.11542795
Клочко, О., Твердохліб, І. А., Sharyhin, O. A., & ФУРМАН, О. А. (2025) · doi:10.55056/ceur-ws.org/vol-4029/paper5.pdf
“A systematic overview of the impact of AI on the future labor market is given in [12, 13].”
Suarez-Rodríguez, C. H., Largo-Ávila, E., & Llano-Gallón, N. S. (2026) · Social Sciences & Humanities Open · doi:10.1016/j.ssaho.2026.103202 · Cited by 1 · see citing works
Islam, S. (2026) · Social Sciences & Humanities Open · doi:10.1016/j.ssaho.2026.103205 · Cited by 2 · see citing works
Bocean, C. G., Popescu, L. G., Simion, D., Sperdea, N. M., Puiu, C., Marinescu, R. C., & Maria, E. (2026) · Systems · doi:10.3390/systems14070815
“According to recent studies, AI is a set of technologies capable of providing qualities traditionally offered by human intelligence, such as language recognition, learning, reasoning, planning, and problem-solving [2,3].”
Feng, Y., Qiu, L., Zhang, X., Wang, S., & Wang, H. (2026) · Journal of Economic Surveys · doi:10.1111/joes.70133
Understanding the Impact of Labor Market and Development on Employee Performance
Shivaraj, G., Silambarasan, G., & Gurusamy, M. (2026) · IGI Global eBooks · doi:10.4018/979-8-3373-5327-2.ch002
LabourLens AI: A Generative AI Assistant for Labour Market Intelligence in Malaysia
Zaabar, L. S., Sani, N. H. H. A., Alias, M. A. A. B. A. C. @., bin Alias, M. R., & bin Mustafa, M. K. S. (2026) · Lecture notes on data engineering and communications technologies · doi:10.1007/978-3-032-23407-0_32
AI Workslop: The Moral Significance of Withholding Effort
Licht, K. D. F. (2026) · Philosophy & Technology · doi:10.1007/s13347-026-01164-8
“GenAI can also shift workplace expectations in ways that affect evaluation, autonomy, and workload distribution (Dillon et al., 2025 ; Mayer et al., 2025 ; Salari et al., 2025 ).”
Bridging the gap between vocational AI curricula and industry skill demand: Evidence from China
Xiao, H., Lee, H. L., Zheng, K., Kuang, Z., Oung, Q. W., & Zhang, Q. (2026) · Industry and Higher Education · doi:10.1177/09504222261478197
Zhang, Q., Ding, Y., & Hu, X. (2026) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2026.101290
Hayvon, J. C. (2026) · Qualitative Research in Psychology · doi:10.1080/14780887.2026.2731998
The Pocket Tutor Has a Price: Scaffolding Self-Paced Learning with AI
Jamil, H. M. (2026) · Big Data and Cognitive Computing · doi:10.3390/bdcc10100322
DEVELOPMENT OF A MANAGEMENT SYSTEM IN THE CONTEXT OF HUMAN–ALGORITHMIC INTERACTION
Shalomova, A. (2026) · Socio-economic relations in the digital society · doi:10.55643/ser.3.61.2026.686
“Salari et al. (2025) indicate that generative artificial intelligence may transform employment structures and increase demand for new combinations of technical, analytical, and interpersonal skills.”
Shukeyev, U. (2026) · Bangladesh Journal of Multidisciplinary Scientific Research · doi:10.46281/bjmsr.v11i6.2959
ARTIFICIAL INTELLIGENCE AND THE FUTURE OF EMPLOYMENT
Giguashvili, G. (2026) · ГРААЛЬ НАУКИ · doi:10.36074/grail-of-science.07.08.2026.007
“The rapid diffusion of generative AI further reinforces this trend, highlighting the growing importance of upskilling and reskilling initiatives [10].”
Radonjić-Petrović, D. (2026) · Ekonomika · doi:10.5937/ekonomika2603103r
“…on the dual character of AI shows that it simultaneously creates and displaces labour demand (Choi & Leigh, 2024), and a systematic review of generative AI confirms that the transformation of jobs, rather than their wholesale substitution, is the dominant expected outcome (Salari et al., 2025).”
Mughal, M., & Qureshi, H. A. (2026) · Journal of Information Technology Case and Application Research · doi:10.1080/15228053.2026.2745304
The Fourth Industrial Revolution. Social and economic impacts of the digital transformation
Nowocień, W. (2026) · Rozprawy Społeczne · doi:10.29316/rs/238825
Sternberg, R. J. (2026) · Gifted Education International · doi:10.1177/02614294261499253
From Competence Mapping to ESCO-Aligned Job Profiles for Generative AI and Large Language Models
Katsis, M., Ioannidou, I., & Sirmakessis, S. (2026) · Pan-Hellenic Conference on Progress in Computing and Informatics (PCI) · doi:10.1145/3829216.3829267
Dale, G., & Drummond, M. (2026) · World sustainability series · doi:10.1007/978-3-032-34574-5_22
- Authors
- Salari, N., Beiromvand, M., Hosseinian-Far, A., Habibi, J., Babajani, F., & Mohammadi, M.
- Affiliations
- Kermanshah University of Medical Sciences (IR)
- University of California, Santa Barbara (US)
- Jahrom University of Medical Sciences (IR)
- Corresponding author
- Mohammadi, Masoud
- Venue
- Computers in Human Behavior Reports
- Publisher
- Elsevier BV
- Published
- 2025-05
- Volume
- 18
- Pages
- 100652
- ISSN
- 2451-9588 (ISSN-L)
- OpenAlex
- W4408482048
- Semantic Scholar
- 591c26cc818dbda0fa59d1e7903c484560ef2adc
- Cited by
- 49
- References
- 117
- Citations by year
- 2026: 38 · 2025: 11
- FWCI
- 13.24
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Computers in Human Behavior Reports (publishedVersion, cc-by)
- University of Hertfordshire Research Archive (University of Hertfordshire) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Kermanshah University of Medical Sciences
- 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
- generative AI, future of work, labor market, unemployment, job displacement, AI governance, ChatGPT, AI ethics, AI security, workforce adaptation
About these checks
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