MIT Shaping the Future of Work Initiative
@mitshapingwork
Economics research to revitalize labor market opportunities for non-college educated workers. Led by @DAcemogluMIT, @davidautor and @baselinescene
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http://shapingwork.mit.edu/ 12-05-2023 19:41:55
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"Since any technology can be used for good or bad, what ultimately matters is who controls it, what their objectives are, and what kind of regulations they are subjected to." Read more from Daron Acemoglu in Project Syndicate. project-syndicate.org/commentary/ai-…
A flat 50% tax on digital advertising, starting when annual digital ad revenue exceeds $500 million, would encourage social media companies to adopt a less socially harmful business model, argue Daron Acemoglu and Simon Johnson. Read more from MIT Sloan School of Management. mitsloan.mit.edu/ideas-made-to-…
In a recent op-ed for Project Syndicate, Daron Acemoglu argues that the current AI safety debate ignores the crucial consideration of who has power and control over the technology. Read the article: project-syndicate.org/commentary/ai-…
"The US, Britain, France, [and] other European countries urgently need to make strategic investments in key technologies, to create more good jobs, and to stay ahead of increasingly aggressive geopolitical competitors," Simon Johnson argues in Project Syndicate. project-syndicate.org/commentary/goo…
In a forthcoming Handbook of Labor Economics chapter, Daron Acemoglu & co-authors find that the impacts of a new technology depend on whether it is used to (1) augment labor, (2) augment capital, (3) automate labor, or (4) create new tasks. Read the paper: shapingwork.mit.edu/research/tasks…
In the Annual Review of Economics, Daron Acemoglu and Simon Johnson show that for automation to increase wages, it must coincide with 1) new tasks that increase the marginal productivity of labor, and/or 2) hiring in complementary sectors. Read the paper: shapingwork.mit.edu/wp-content/upl…
Recent research from Daron Acemoglu estimates that at most, AI will increase US GDP by ~1.5% within the next 10 years, far less than most forecasters predict. Read the working paper, The Simple Macroeconomics of AI: shapingwork.mit.edu/wp-content/upl…
"To have a greater impact on productivity, [Daron Acemoglu] argues ... [AI] needs to be used to create new types of jobs, not just to replace workers." The MIT MIT Technology Review explores what the latest research tells us about AI, productivity and prosperity. technologyreview.com/2024/08/20/109…
"Power and Progress" by co-directors Daron Acemoglu and Simon Johnson was featured on New America's list of recommended Labor Day reading on workers' rights. See the full list. newamerica.org/the-thread/mus…
When cotton manufacturing became mechanized in 19th-century Britain, the wages of handloom weavers collapsed. In the Annual Review of Economics, Daron Acemoglu and Simon Johnson ask: What can this period of technological change teach us in the age of AI? shapingwork.mit.edu/wp-content/upl…
AI & our economic future. Latest Social Science Bites with eminent economist Daron Acemoglu socialsciencespace.com/about-socialsc… Social Science Bites Sage
"Can we also do other things with technology at the same time so that we introduce new tasks, new capabilities for workers?" Economist Daron Acemoglu speaks to David Edmonds about the positives and potential pitfalls of AI. Listen to the new episode: ow.ly/zUSR50TffWa
Citing research from David Autor, David Dorn, and Gordon Hanson, a recent The Brookings Institution article analyzes whether the Biden-Harris administration's industrial strategy targets regions most affected by the "China shock." brookings.edu/articles/place…
In conversation with Soumaya Keynes, Daron Acemoglu argues that policy should eliminate the tax code bias, estimated at 25%, that provides "a huge subsidy to firms when they automate rather than hire workers or train their workers." Listen to the podcast: ft.com/content/780559…