Stanford Digital Economy Lab @DigEconLab
Bringing together the world's best minds, whether human or machine, to study how digital technologies can transform the economy @StanfordHAI Director: @ErikBryn digitaleconomy.stanford.edu Stanford, California Joined May 2020-
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Stanford Digital Economy Lab retweeted
New paper with @BKleinTeeselink! Measuring AI adoption and employment changes across 41 countries. This is some of the first evidence on global changes in labor markets from AI. Paper and Substack explainer + lit review at bottom of 🧵
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Explore these updated dashboards and more at indicators.stanford.edu
The Transformation Tracker sees ten-year real interest rates remaining elevated, and electricity generation returning to the "mild" evidence category after briefly reverting to neutral. The tracker in aggregate still sees no strong indication of transformation.
The Indicators have updated with new data on AI's impact on employment and the economy. First, the Canaries dashboard saw that, after modest recovery in July, early career employment in the most exposed quintile continued to fall in August, down 1.4% month-over-month.
Stanford Digital Economy Lab retweeted
Employment for young workers in AI-exposed jobs slowed in August, marking 35 straight months of contraction, according to new data from @DigEconLab and ADP Research. adpresearch.com/research/canar… #AI #labormarket
Can AI help us better understand the communities we serve? @UNICEF, @WorldBank, and @Stanford's Andy Haupt & Prof. Robb Willer will explore whether AI-generated survey responses can help fill data gaps in policy work. Sept. 17 at 8am PT Register here: wfp-org-conference.zoom.us/webinar/regist…
Stanford Digital Economy Lab retweeted
AI is the most important technology of our era. I’m delighted to see so many insightful contributions to this volume that grapple with the big economic questions raised by transformative AI.
New NBER Book released: The Economics of Transformative AI nber.org/books-and-chap…
Read Anna's essay, along with other unique perspectives on AI policymaking, at DigitalistPapers.com
"It will be really important to have some foresight here." @yelizarovanna (@windfalltrust)'s Digitalist Papers essay looks at how we share prosperity in society if work no longer sits at the center of people’s lives. Anna discusses AI preparedness here: youtu.be/3MK84fgPuT4
Read the paper here: digitaleconomy.stanford.edu/publication/pr…
How do we price consultant work in an AI era? Agents make work faster and more consistent, but there are costs that clients don’t see. Pricing Consulting Services in the Age of Agentic AI: A Strategy Map for Executives (@erikbryn and @georgionomix) gives a practical framework.
Watch the full video on YouTube: youtu.be/kva3Kt_WScs
This July, we gathered economists and tech industry leaders to talk about what "success" means when it comes to transformative AI, and how we can guide policy to get us there. @erikbryn, @alexolegimas, Fabien Curto Millet and @zhitzig here, with more in the full YT video
Stanford Digital Economy Lab retweeted
It's great to see more and more people, including @BillGates, recognize that we are not prepared for the massive change that AI will bring to the economy. I agree 100%. It's the reason I helped organize the "We Must Act Now" statement by economists and AI researchers. At the @DigEconLab, we are working to provide the data and insights needed to address that gap, including research Bill Gates cites in his essay. There's so much work to do but I'm optimistic we can rise to the challenge.
"Even under the best circumstances, the transition to this new AI era will be one of the most turbulent times in human history," Bill Gates writes in a new, 12-page essay. on.wsj.com/4gTfp2M
See Gabriel's full conversation here: youtu.be/ecgQssrtrI0 And for a wide range of perspectives on TAI, visit DigitalistPapers.com
Can we fulfill transformative AI's revolutionary potential? Part of it depends on articulating a compelling shared vision for the future, which @_gabrielunger explores in his essay for the Digitalist Papers.
Explore the data here: digitaleconomy.stanford.edu/project/indica… Made possible by the brilliant work of @d_vidnguyen, @erikbryn, @avi_collis, @eggers_felix, @SophiaKazinnik, and @jeffwang1840
What is generative AI worth? The Indicators have a new dashboard! The GDP-B: Surplus Observer rethinks traditional measures as we track consumer surplus from generative AI tools over time.
Stanford Digital Economy Lab retweeted
@DigEconLab and @stai_research just launched SimulacraBench — a NeurIPS 2026 competition in collaboration with @Refugees, @UNICEF, and the @WorldBankGroup. Teams can compete to validate whether AI can faithfully simulate hard-to-reach populations against unreleased UN microdata: simulacrabench.org
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