AI Doesn’t Kill Jobs? Tell That to Freelancers wsj.com/tech/ai/ai-rep…

It's the third and final week of the NBER Summer Institute 2024. Tomorrow at 8am ET there will be a discussion of the cost of #regulatorycompliance in the United States with Adair Morse and @xftrebbi of Haas School of Business and Miao Ben Zhang and Michael Simkovic of @usc.

Despite what politicians claim, small businesses are not the ones hardest hit by regulation, according to new research from professor @xftrebbi with Michael Simkovic and Miao Ben Zhang  of USC Marshall School of Business in FORTUNE. haas.org/3XbzPsQ

New CEPR Discussion Paper - DP19478 Measuring the Costs and Benefits of #Regulation @m_bombardini @xftrebbi Miao Ben Zhang ow.ly/P8g150To1Y2 #CEPR_PoE #economics

Discussing recent methodological innovations in the area of cost and benefit assessment of government regulation, from @m_bombardini, @xftrebbi, and Miao Ben Zhang nber.org/papers/w32955

First nationally representative survey of generative AI usage in the US at work and at home, from Alexander Bick, Adam Blandin, and David Deming nber.org/papers/w32966

NXTV in Times Square! So proud of the research behind the Next Intangible Indices. 💡🎥🎉

The Census Bureau released the Business Dynamic Statistics today through 2022. New employer firms in 2022 about 520K -- 15% higher than 2019. 16% of the firm births in 2022 are in High Tech (NAICS 51/54). Pace of firm births rapidly increasing in 2021 and 2022.

LinkedIn launches its first AI agent to take on the role of job recruiters tcrn.ch/4fi4bBX

NEW: This research note uses the quantitative approach developed by @xftrebbi (UC Berkeley Haas), Miao Ben Zhang (@usc) & Mike Simkovic to provide a descriptive overview of the main differences in costs of regulatory compliance across U.S. states. promarket.org/2024/12/15/a-n…

Conceptualizing Regulation. A grumpy economist review of "Commandeering Regulation," a new basic parable suggested by Carl Danner at Cato Review. Links in the first reply.

Recently accepted by #QJE, “The Diffusion of New Technologies,” by Kalyani (aakash kalyani), Bloom (Nick Bloom), Carvalho (Marcela Carvalho), Hassan (Tarek Hassan), Lerner, and Tahoun (Tahoun) doi.org/10.1093/qje/qj…

An overview of the arsenal of tools that large US corporations use to influence policy and politics, from @m_bombardini and @xftrebbi nber.org/papers/w33696

(1/4) When some job tasks are automated, do the tasks that remain become more or less valuable? 🧵👇 In a new working paper, David Autor and Neil Thompson argue the answer depends on how much expertise is required for the tasks still done by humans.

How is #AI changing #jobs? 1st episode of our live podcast series from the Paris School of Economics CEPR Policy Forum, w/ David Autor Massachusetts Institute of Technology (MIT) explaining to Tim Phillips Talk Normal why #automation could increase the value of human expertise in some roles and reduce it in others Listen: cepr.org/multimedia/aut…

We are hosting the 14th Advances in Macro-Finance Conference in Santa Barbara on Oct 17 and 18. Please submit your paper at forms.gle/DaP86ZptjX4J1K…

Outlining a research agenda and nine grand challenges for studying the economic impacts of transformative artificial intelligence, from Erik Brynjolfsson, Anton Korinek, and Ajay Agrawal nber.org/papers/w34256

Had a fantastic workshop day at OpenAI in SF! Huge thanks to OpenAI's Economic Research Team for the invitation. We had a blast presenting our upcoming paper on “Household Impact of Generative AI” (joint with Gregor-Schubert & Michael Blank). Lots of fun and great job, Gregor!

NBER Asset Pricing Lessons. Conference review grumpy-economist.com/p/nber-asset-p…

Open call for papers, AI and Economic Measurement. Conference to be held in Stanford, CA on May 7, 2026. Submit applications by 11:59pm EDT on February 2, 2025. More information: nber.org/calls-papers-a…