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
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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/…
Stanford Digital Economy Lab retweeted
Jobs are modeled as bundles of tasks. But as jobs change, how do we keep those task lists up to date?
Workers often experience new responsibilities and tools before they reach their job descriptions.
We start by listening to them. 🧵
TaskNet is live!
By accurately mapping the tasks workers perform at their jobs, the project will help us gain a better understanding of AI's impact on work.
Explore Tasknet here: tasknet.stanford.edu
@mercor's Isaac Robinson introduces TaskNet here: mercor.com/blog/introducing-…
Stanford Digital Economy Lab retweeted
Happy to share I am now Research Director for AI Economics and Policy at @DigEconLab. As part of new role I will be leading the AI Economic Indicators.
I am also now a Research Fellow at @GovAIOrg. I'm excited to work with them on most important questions in econ of AI.
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…
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
This Monday @CarinaLHong, CEO of @axiommathai, stops by the Lab for "AI That Can Prove It: From Mathematical Discovery to Verified Software."
Register for free on Zoom: stanford.zoom.us/webinar/reg…
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-…
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
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.
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.
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…
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 🧵
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.
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.
Explore these updated dashboards and more at indicators.stanford.edu
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
