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
Joined May 2020
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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Transformative AI's potential impact demands new approaches to research on work, growth, inequality, and more. @erikbryn, @professor_ajay, and @akorinek outline nine "grand challenges" in a new piece for @CACMmag. Read their full agenda here: cacm.acm.org/research/a-rese…
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The AI Economic Indicators have received their October update! Check out new data shared on the Canaries Dashboard and Transformation Tracker. canaries.stanford.edu transformation.stanford.edu
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While automation dominates much of the AI conversation, what other research directions should we prioritize? @random_walker and @_gabrielunger argue for a broader research agenda in "Steering AI Beyond Automation." Read the essay here: normaltech.ai/p/steering-ai-…
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Stanford Digital Economy Lab retweeted
Kicking off Day 3 at #NABE2026 with @NelaRichardson discussing the shifting AI and talent paradigm focusing on how AI is shaping the demand for « tasks » — great collaboration between @ADP and @DigEconLab
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The DEL Seminar Series is back! Bright minds from around the world visit the Lab to discuss various subjects surrounding economics and technology, presented on Zoom for free. This fall our guests include @RichardSocher, @CarinaLHong, and @danielrock.
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This Monday’s seminar features @ProfNeilT‘s “Forecasting AI’s Impact on Human Expertise and the Future of Work.” Visit here for registration and abstract: digitaleconomy.stanford.edu/… In addition to the Zoom, members of the Stanford community are invited to attend in-person.
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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: youtube.com/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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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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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-chapters/…
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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: youtu.be/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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