Most work is new work, long-term study of U.S. census data shows
The majority of U.S. jobs are in occupations that have emerged since 1940, MIT research finds — telling us much about the ways jobs are created and lost.
Labor and jobs
Does technology help or hurt employment?
Combing through 35,000 job categories in U.S. census data, economists found a new way to quantify technology’s effects on job loss and creation.
MIT launches Working Group on Generative AI and the Work of the Future
New initiative is convening leading companies and nonprofits with support from Google’s Community Grants Fund.
3 Questions: Shaping the future of work in an age of AI
Daron Acemoglu, David Autor, and Simon Johnson, faculty co-directors of the new MIT Shaping the Future of Work Initiative, describe why the work matters and what they hope to achieve.
“We offer another place for knowledge”
After acquiring data science and AI skills from MIT, Jospin Hassan shared them with his community in the Dzaleka Refugee Camp in Malawi and built pathways for talented learners.
Explained: Generative AI
How do powerful generative AI systems like ChatGPT work, and what makes them different from other types of artificial intelligence?
Institute Professor Daron Acemoglu Wins A.SK Social Science Award
The award honors research on public policy with a focus on economic and governmental reforms.
Who will benefit from AI?
In campus talk, Daron Acemoglu offers vision of “machine usefulness,” rather than autonomous “intelligence,” to help workers and spread prosperity.
Study finds ChatGPT boosts worker productivity for some writing tasks
A new report by MIT researchers highlights the potential of generative AI to help workers with certain writing assignments.
Study finds ChatGPT boosts worker productivity for some writing tasks
A new report by MIT researchers highlights the potential of generative AI to help workers with certain writing assignments.