Bringing together the world's best minds, whether human or machine, to study how digital technologies can transform the economy @StanfordHAI Director: @ErikBryn

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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 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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Canaries also sees employment in the early career group down 13% since the introduction of ChatGPT in November 2022, while early-career employment for the least-exposed group is up 8%, for a total gap of 21 percentage points.
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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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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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"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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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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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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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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Can any predictive method, generative AI included, predict survey responses? SimulacraBench is a @NeurIPSConf competition to validate AI representations of hard-to-reach populations, evaluated on unreleased UNHCR, UNICEF, and World Bank microdata. More: simulacrabench.org/
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The Canaries paper (along with our Canaries Dashboard) is made possible by our collaboration with @AdpResearch.
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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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"Fighting Fire with Fire": A team of researchers including Lab Digital fellows @SarahHBana and @j_frank_li outline a workflow that uses AI as a transparent "frontline reviewer" to improve the peer review process. Read here: pubsonline.informs.org/doi/1…
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The We Must Act Now statement gets a shout on today's episode of @nytimes's The Daily, "What A.I. Is Actually Doing to the Economy." Listen on Apple: podcasts.apple.com/us/podcas…
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