g-f(2)2170 Goal! Redefining Middle-Class Success with Generative A.I.

 

genioux Fact post by Fernando Machuca and Bard (Gemini)

Level Up! A.I. Empowers the Middle Class

genioux GK Nugget:

"Generative A.I. levels the playing field by bringing less-skilled workers into high-value decision-making." — Fernando Machuca and Bard (Gemini), April 1, 2024

The Game Has Changed: A.I. as a Teammate

David Autor, a prominent economist once wary of technology's impact on jobs, now sees generative A.I. as a potential game-changer. Unlike past automation that replaced routine tasks, A.I.'s ability to learn and guide human judgment can create opportunities for a wider range of workers. This could empower less-skilled individuals to participate in valuable work, potentially revitalizing the middle class.

While some economists remain cautious, Autor's vision offers a hopeful counterpoint to the fear surrounding A.I.'s impact on jobs. His proposition encourages proactive discussion and preparation to harness A.I. as a tool for a more equitable future of work.

Join the Discussion: A.I. for All

How can we ensure A.I. benefits all workers? Share your thoughts! 

Learn More:

Dive deeper into generative A.I. and its potential impact on the job market! (Link to relevant resources on "genioux facts")

This genioux Fact post is part of the "Game On! Mastering THE TRANSFORMATION GAME in the Arena of Sports" Series.

Classical Summary:

David Autor, a prominent economist previously critical of technology's labor impact, now sees generative A.I. as a potential game-changer. He argues that unlike past automation that replaced routine tasks, A.I.'s ability to learn and guide human judgment can create opportunities for a wider range of workers. This could empower less-skilled individuals to participate in valuable work, potentially revitalizing the middle class. While some economists remain cautious, Autor's vision offers a hopeful counterpoint to the prevailing fear surrounding A.I.'s impact on jobs. His proposition encourages proactive discussion and preparation to harness A.I. as a tool for a more equitable future of work.

REFERENCES

The g-f GK Article

Steve Lohr, How One Tech Skeptic Decided A.I. Might Benefit the Middle Class, The New York Times, April 1, 2024.

Steve Lohr 

Steve Lohr is a technology and economics reporter for The New York Times¹. He primarily writes about technology and its impact on the economy, jobs, and the workplace¹⁵. His coverage leads to stories on productivity, automation, inequality, and antitrust¹⁵.

Lohr has been with The Times since 1979 and has covered a wide range of topics, both literally and figuratively¹. He was a foreign correspondent for a decade based in Tokyo, Manila, and London¹⁴. He has written for every section of the paper — magazine, book review, culture, travel, and others¹. He was a member of the team awarded the Pulitzer Prize for explanatory reporting in 2013¹⁴.

He has written two technology-related books: “Go To,” a history of software and computer programming, published in 2001; and “Data-ism,” on the field of data science and decision-making, published in 2015¹. Before The Times, he worked for three years at Business Week, and before that for less than two years at the Binghamton Press in upstate New York¹. He grew up first in Wisconsin and when he was a teenager his family moved to Connecticut¹. He went to Colgate University and later the Columbia Graduate School of Journalism¹.

Source: Conversation with Bing, 4/4/2024

(1) Steve Lohr - The New York Times. https://www.nytimes.com/by/steve-lohr.

(2) Steve Lohr - Page 6 - The New York Times. https://www.nytimes.com/by/steve-lohr?page=6.

(3) Steve Lohr - Page 4 - The New York Times. https://www.nytimes.com/by/steve-lohr?page=4.

(4) Generative A.I.’s Biggest Impact Will Be in ... - The New York Times. https://www.nytimes.com/2024/02/01/business/ai-impact-jobs.html.

(5) Steve Lohr - Journalist Profile - Intelligent Relations. https://intelligentrelations.com/journalist/steve-lohr/.

David H. Autor

David H. Autor is an American economist, public policy scholar, and professor of economics at the Massachusetts Institute of Technology (MIT)¹². He also serves as the co-director of the School Effectiveness and Inequality Initiative¹². Autor's research primarily focuses on the labor-market impacts of technological change and globalization²³.

Autor has held various positions throughout his career, including the Ford Professor in the MIT Department of Economics, co-director of the NBER Labor Studies Program, and co-director of the MIT Shaping the Future of Work Initiative². His scholarship explores the labor-market impacts of technological change and globalization on job polarization, skill demands, earnings levels and inequality, and electoral outcomes².

He has received numerous awards for his scholarship and teaching, including the National Science Foundation CAREER Award, an Alfred P. Sloan Foundation Fellowship, the Sherwin Rosen Prize for outstanding contributions to the field of Labor Economics, the Andrew Carnegie Fellowship in 2019, the Society for Progress Medal in 2021, and the MIT MacVicar Faculty Fellowship².

Source: Conversation with Bing, 4/4/2024

(1) David Autor - Wikipedia. https://en.wikipedia.org/wiki/David_Autor.

(2) David H. Autor | MIT Economics. https://economics.mit.edu/people/faculty/david-h-autor.

(3) David Autor - Massachusetts Institute of Technology. https://shapingwork.mit.edu/about-us/david-autor/.

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“genioux facts”: The online program on "MASTERING THE BIG PICTURE OF THE DIGITAL AGE”, g-f(2)2170, Fernando Machuca and Bard (Gemini), April 1, 2024, Genioux.com Corporation.

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