Bringing together the world's best minds, whether human or machine, to study how digital technologies can transform the economy @StanfordHAI Director: @ErikBryn
Stanford, California
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A new revised version of "Canaries in the Coal Mine?" is now available from @erikbryn, @BharatKChandar, and @RuyuChen.
"No Widespread Displacement, but the AI Employment Gap for Young Workers Has Widened to 19%"
Read the authors' summary here: digitaleconomy.stanford.edu/…
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The next panel for World Development Report 2026 begins at 11am PT! This all-day event looks at how AI offers developing economies a rare path to greater prosperity.
Watch the livestream for “How Will AI Impact Jobs and Productivity?” here: piped.video/live/opvq4e0oQhk…
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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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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.
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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.
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Explore these updated dashboards and more at indicators.stanford.edu
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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/can… #AI #labormarket
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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/w…
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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.
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"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: piped.video/3MK84fgPuT4
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Read Anna's essay, along with other unique perspectives on AI policymaking, at DigitalistPapers.com
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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.
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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
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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
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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.
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See Gabriel's full conversation here: piped.video/ecgQssrtrI0
And for a wide range of perspectives on TAI, visit DigitalistPapers.com
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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.
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Explore the data here: digitaleconomy.stanford.edu/…
Made possible by the brilliant work of @d_vidnguyen, @erikbryn, @avi_collis, @eggers_felix, @SophiaKazinnik, and @jeffwang1840
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