SJRQ3/WOS-International Journal of Mobile and Blended Learning (IJMBL)-IGI-APC: US $2,200.00

 Homepage

How to publish in this journal

KMacCallum@eit.ac.nz

Many Chinese authors. 

This journal is currently actively seeking new submissions. Interested authors should ensure that their article manuscript adheres to the journal's submission guidelines and before you write page, which include originality of the manuscript, APA formatting information and examples, manuscript requirements, and more. To submit an article for consideration, please begin the submission process below.

 

The Labor Market Effects of Generative Artificial Intelligence

40 Pages Posted: 10 Apr 2025 Last revised: 25 Jun 2025

Jonathan Hartley

Stanford University

Filip Jolevski

Department of Economics, George Mason University; Enterprise Analysis Unit, Development Economics Vice Presidency, The World Bank

Vitor Melo

Clemson University

Brendan Moore

Stanford University, Department of Economics

Date Written: December 18, 2024

Abstract

In this paper we develop a new survey analyzing Generative AI use in the labor market to assist in measuring the economic effects of Generative AI. We find, consistent with other surveys that Generative AI tools like large language models (LLMs) are most commonly used in the labor force by younger individuals, more highly educated individuals, higher income individuals, and those in particular industries such as customer service, marketing and information technology. Overall, we find that LLM adoption at work among U.S. survey respondents above 18 has increased rapidly from 30.1% as of December 2024, to 43.2% as of March/April 2025. We also estimate Generative AI use at the intensive margins, its efficiency gains and its use in job search and seek to examine the effects of LLMs on productivity and the labor market using a number of additional datasets. These results have several implications for policymakers, businesses, and researchers navigating the evolving landscape shaped by the integration of Generative AI into the global economy.

Keywords: Large Language Models, Artificial Intelligence, Employment Dynamics, Automation

JEL Classification: E00, E02, F22, F43, P48

27 References

1. Daron References Acemoglu
   The Simple Macroeconomics of AI , volume 40 , p. 13 - 58 Posted: 2025-01
2. Daron & Acemoglu , Simon Johnson
   Power and Progress: Our Thousand-Year Struggle Over Technology and Prosperity Posted: 2023
3. Daron Acemoglu , David Autor , Jonathon Hazell , Pascual Restrepo
   Artificial Intelligence and Jobs: Evidence from Online Vacancies
   Journal of Labor Economics , volume 40 , issue 1 Posted: 2022-04
4. Ajay Agrawal , Joshua S Gans , Avi Goldfarb
   Do we want less automation?
   Science , volume 381 , p. 155 - 158 Posted: 2023-07-13
5. Alderucci , Lee G Dean , Eduard Branstetter , Andrew Hovy , Nikolas Runge , ; Zolas , H David , Frank Levy , Richard J Murnane
   Quantifying the Impact of AI on Productivity and Labor Demand: Evidence from U.S. Census Microdata
   The Quarterly Journal of Economics , volume 118 , issue 4 , p. 1279 - 1333 Posted: 2003-11
6. Hayden Baker , Emma Dwyer , Senthooran Kalidoss , Kelly Hynes , Jennifer Wolf , Jason A Strelzow
   Posted: 2024
7. ChatGPT's Ability to Assist with Clinical Documentation: A Randomized Controlled Trial
   J Am Acad Orthop Surg , volume 32 , issue 3 , p. 123 - 129 Posted: 2024-02-01
8. Nicholas Bloom , Charles I Jones , John Van Reenen , Michael Webb
   Are Ideas Getting Harder to Find?
   American Economic Review , volume 110 , issue 4 , p. 1104 - 1144 Posted: 2020
9. Kathryn Bonney , Cory Breaux , Cathy Buffington , Emin Dinlersoz , Lucia S Foster , Nathan Goldschlag , John C Haltiwanger , Zachary Kroff , Keith Savage
   Tracking Firm Use of AI in Real Time: A Snapshot from the Business Trends and Outlook Survey Posted: 2024
10. Timothy F Bresnahan , Manuel Trajtenberg
    General Purpose Technologies 'Engines of Growth?
    Journal of Econometrics , volume 65 , issue 1 , p. 83 - 108 Posted: 1995-01
11. Erik Brynjolfsson , Tom M Mitchell
    Artificial Intelligence and the Future of Work
    National Academies of Sciences, Engineering, and Medicine Posted: 2024
12. Erik Brynjolfsson , Gabriel Unger ; Development Brynjolfsson , Erik , Danielle Li , Lindsey R Raymond
    The Macroeconomics of Artificial Intelligence
    IMF Finance and , volume 140 , p. 889 - 942 Posted: 2023
13. Erik Brynjolfsson , Danielle Li , ; E Mcafee , A
    The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies Posted: 2014
14. Erik Brynjolfsson , Tom Mitchell , Daniel Rock
    What Can Machines Learn, and What Does It Mean for Occupations and the Economy?
    AEA Papers and Proceedings , volume 108 , p. 43 - 47 Posted: 2018
15. T B Brown
    Language Models are Few-Shot Learners Posted: 2020
16. Gary Charness , Brian Jabarian , John A List
    Generation Next: Experimentation with AI Posted: 2023
17. Dell'acqua , Edward Fabrizio , Ethan R Mcfowland , Hila Mollick , Lifshitz-Assaf
18. Lisa Rajendran , François Krayer , Karim R Candelon , L Lakhani ; Andrea , Gregor Schubert , & Miao , Ben Zhang
    Navigating the jagged technological frontier: Field experimental evidence of the effects of AI on knowledge worker productivity and quality
    Generative AI and Firm Values Posted: 2023
19. Tyna Eloundou , Sam Manning , Pamela Mishkin , Daniel Rock ; Wayne , G Dirk Mateer , Jadrian Wooten , Nikhil Damodaran , W Edward , Raj Manav , Robert Seamans
    GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models
    The American Economist , volume 68 , issue 2 , p. 233 - 245 Posted: 2023-10
20. Lena ; Greska , Paper Working , Handa , Alex Kunal , Miles Tamkin , Saffron Mccain , Esin Huang , Sarah Durmus , Jared Heck , Jerry Mueller , Stuart Hong , Tim Ritchie , Kevin K Belonax , Dario Troy , Jared Amodei , Jack Kaplan , Deep Clark , Ganguli
    Which Economic Tasks are Performed with AI? Evidence from Millions of Claude Conversations Posted: 2023
21. Xiang Hui , Oren Reshef , Luofeng Zhou ; Keynes , John Maynard
    The Short-Term Effects of Generative Artificial Intelligence on Employment: Evidence from an Online Labor Market
    Journal of Economic Literature , volume 61 , issue 4 , p. 1281 - 1317 Posted: 1930
22. Ted Liu , Carina Deng , Kelly Monahan , ; William , D
    How Generative AI Adds Value to the Future of Work
    B.E. Journal of Macroeconomics , volume 8 , issue 1 , p. 1 - 39 Posted: 2008
23. William D Nordhaus
    Are We Approaching an Economic Singularity? Information Technology and the Future of Economic Growth
    American Economic Journal: Macroeconomics , volume 13 , issue 1 , p. 299 - 332 Posted: 2021
24. Shakked Noy , Whitney Zhang
    Experimental evidence on the productivity effects of generative artificial intelligence
    Science , volume 381 , p. 187 - 192 Posted: 2023-07-13
25. Sida Peng
    The impact of ai on developer productivity: Evidence from github copilot
    Language Models are Few-Shot Learners Posted: 2019
26. Sofia Spatharioti , David M Eleni , Daniel G Rothschild , Jake M Goldstein , Hofman
    Comparing Traditional and LLM-based Search for Consumer Choice: A Randomized Experiment
    American Economic Review , volume 105 , issue 5 , p. 60 - 65 Posted: 2015
27. Michael Webb , Emma Wiles , John J Horton ; Wiles , Zanele T Emma , John J Munyikwa , Horton
    More, but Worse: The Impact of AI Writing Assistance on the Supply and Quality of Job Posts
    Algorithmic Writing Assistance on Jobseekers' Resumes Increases Hires Posted: 2020

Productivity Gains From Using AI

 As AI tools become increasingly integrated—and in some cases, even mandated—into professional workflows, their real-world impact on productivity is becoming more evident.

This chart, via Visual Capitalist's Niccolo Conte, compares the average time it takes U.S. adults to complete 18 common work tasks with and without the use of generative AI, based on a December 2024 survey of 4,278 respondents conducted by Stanford University and the World Bank.

Generative AI Improves Productivity by Over 60%

Across all tasks, using generative AI reduced the average time taken to complete them by more than 60%.

Here’s how much time using generative AI saved across 18 common work tasks, in average number of minutes:

Task	Time With GenAI (avg. minutes)	Time Without GenAI (avg. minutes)	Time Reduction
Writing	25	80	-69%
Active Learning	26	76	-66%
Critical Thinking	27	102	-74%
Troubleshooting	28	115	-76%
Judgement and Decision Making	28	79	-65%
Management of Material Resources	28	92	-70%
Mathematics	29	108	-73%
Time Management	29	77	-62%
Complex Problem Solving	30	122	-75%
Instructing	31	93	-67%
Operations Analysis	31	98	-68%
Systems Analysis	31	87	-64%
Managament of Personnel	32	103	-69%
Programming	33	129	-74%
Equipment Maintenance	34	124	-73%
Quality Control Analysis	36	103	-65%
Management of Finances	38	106	-64%
Technology Design	39	142	-73%

Some of the largest gains came from highly technical or analytical tasks. For example, troubleshooting saw a 76% reduction in time, while critical thinking, programming, and technology design all showed over 70% time savings with generative AI.

Interestingly, even human-centric tasks—such as instructing, judgment and decision-making, and management of personnel—benefited from AI tools, with time reductions ranging from 60–70%.

Accelerating Work With AI

While AI is often framed as a replacement for human labor, this data shows that human workers empowered by AI can do the same tasks far more efficiently.

Writing, for example, dropped from an average of 80 minutes to just 25 minutes with generative AI. For complex cognitive functions like mathematics, systems analysis, and operations, AI reduced the time taken to complete tasks by over an hour.

Furthermore, AI adoption is increasing rapidly. According to the survey, LLM adoption at work for respondents aged 18 or older increased from 30% in December 2024 to over 43% as of March/April 2025.

If this trajectory continues, AI-driven productivity gains could scale from individual tasks to entire organizations, and potentially reshaping broader economic outcomes.

AI is transforming how we work and live online, but which companies are leading this new era of technology? Find out in this infographic on Voronoi, the new app from Visual Capitalist.

SJRQ1-Journal of Educational Computing Research (JECR)-Hybrid-APA-AI

 Homepage

How to publish in this journal

robert.h.seidman@gmail.com

276 papers on AI as of 1 July 2025

Napkin AI

 

Hi American,   Today we're launching Custom Generation to give you more control over visuals - so you can get the visual you want, faster. Now during generation, you can specify what visual you need, choose your preferred layout, and fine-tune the details so the result matches your vision.

Here’s how this improves Napkin experience:   Specify Your Visual Type: Need a flowchart, mind map, table, or something else? Just type what you need and Napkin will generate the closest matching visual – giving you control over the output.   Choose Visual Orientation: Select from vertical, horizontal, square, or let Napkin Auto decide the best orientation – so your visuals fit perfectly in presentations, social posts, documents, and more.   Control Visual Depth and Text: Go for detailed breakdowns when you need specifics, or choose summary views for the big picture. Plus, keep your original wording intact by checking "Stay closer to my text.”   This is another step towards making visual generation effortless – so you spend less time fixing and more time creating exactly what you want.   We'd Love Your Feedback Try the Custom Generation now at Napkin.ai and let us know what you think! Reply to this email or reach out to us at contact@napkin.ai with your feedback or suggestions.    Don’t forget to follow us on Twitter (X) and LinkedIn for the latest updates.   Cheers, Team Napkin

SJRQ1-Teaching and Teacher Education (TTE)-AI- HYBRID-USD 3,380-10 Days-APA-

 Homepage

How to publish in this journal

[PDF] Exploring generative artificial intelligence in teacher education

P Panday-Shukla - Teaching and Teacher Education, 2025

… Additionally, it could be said that those with higher levels of digital literacy might
find it easier to obtain AI literacy, while those with lower levels could struggle with it.
By participating in professional development opportunities, PSTs and teacher …

SJRQ2-FIIB Business Review - India - Sage - Hybrid - 7000-10000 words-APA-3.2% acceptance rate

 Homepage

How to publish in this journal

sudhir.rana@fiib.edu.in

The FIIB Business Review is published five times in a year, 

Sustainable Leadership: An Empirical Evidence of Its Effect on the Sustainable Performance of an Organization

K Khan, I Hameed, K Riaz, SK Hussainy, I Hameed - FIIB Business Review, 2025

This study examined the role of sustainable leadership using the natural resource–based
view (NRBV) and dynamic capability theory (DCT) on organizational consequences
such as stress, learning and sustainable performance. Organizational learning was …

SJRQ2-International Journal of Modern Education and Computer Science (IJMECS)-AI-China-free-

 MECS journals do not charge an article processing fee. 

Scope

Information not localized

Publisher- Modern Education and Computer Science Press

Article and submission processing charges 

MECS journals do not ask for article publishing processing (APC) or submission fees.

Manuscript Template 

Please download the following templates to format your manuscript.

Download Manuscript Guidelines for preparing their manuscripts (MS Word, PDF)

Download a prepared Manuscript Template (MS Word)

https://www.mecs-press.org/ijmecs/author.html

Manuscript Preparation

Manuscript length should be 8 to 19 pages, and it should be written in English. MECS journals can exceptionally accept shorter or longer manuscripts, provided that the scientific content is of high value. All submitted manuscripts must include the following items:

MECS PRESS

SJRQ3-Participatory Educational Research (PER)-AI-free-Turkey-APA6

TURKEY

Homepage

THERE ARE 2 WEBSITES/DOMAINS FOR THIS JOURNAL:

https://www.perjournal.com/publication-fees/

https://dergipark.org.tr/en/pub/per

How to publish in this journal

ozgenkorkmaz@gmail.com

Özge Korkmaz is an Associate Professor in the Department of Econometrics. She has been awarded several national and international grands and has been referee in many national and international journals. She has published on a wide range of topics, including renewable energy, price bubbles, stock markets, housing markets, financial instability and economic instability. e-mail: ozgekorkmaz@gmail.com; ozge.korkmaz@ozal.edu.tr

• PER will be published six times a year (one volume per year), in January, March, May, July, September and November starting from 2022.
• Articles that do not comply with the Per’s rules, without using PER’s template, whose similarity is above 15%, which handle a single dependent variable and are longer than necessary will not be evaluated..

PREPARATION

Word template
You need to download our Title Page and Full Text templates using the links below.
Title Page Template
Full Text Template

Usage of Templates
Please see page 9 of the PER General Guidelines. Click to see PER General Guidelines.