Stanford Digital Economy Lab

"Beyond the corpus of current human achievement, he said, exists 'this much bigger space, bigger than you know, as big as you can imagine, of things that have never been done before.'" Read @TheAtlantic's @AnnieLowrey profile on @erikbryn: theatlantic.com/ideas/2026/06/…

Finally, in entertainment news, an AI actress is about to “star” in her first featured film. 10/10 latimes.com/entertainment-…

Video: How artificial intelligence is assisting doctors at central Ohio’s major hospital systems. 9/10 10tv.com/video/news/loc…

Happy Monday! Some recent news stories… 🧵 1/10

As more nations and organizations recognize the importance of trustworthy AI agents, Lab faculty lead Sandy Pentland discusses their role in trade and finance: digitaleconomy.stanford.edu/news/trusted-a…

"Whatever it is, it's not going away." Lab Director @erikbryn featured in this new @FortuneMagazine piece on the Canaries Dashboard (our collaboration with @AdpResearch) and the AI Economic Indicators project: fortune.com/2026/06/27/wha…

And to check out the Indicators for yourself: indicators.stanford.edu

For the Spotify-inclined: open.spotify.com/episode/66n3Kp…

Lab Research Manager @connacher_ appeared on Marketplace Tech this morning to discuss the AI Economic Indicators! As project lead, Connacher's been building an amazing, growing platform to help workers, employers, and policymakers understand AI's impact. podcasts.apple.com/us/podcast/sta…

This dashboard collects data from a number of sources, helping give us a sense of the growing or shrinking importance of the technology in everyday and economic life. Explore the full Indicators projecT: indicators.stanford.edu

How fast are individuals and firms adopting AI and related technologies? That's the core question of the AI Adoption Monitor, part of the AI Economic Indicators. aiadoptionmonitor.stanford.edu

Really interesting work by the talented folks at @DigEconLab

Meet the world’s top AI-pilled economists "This year the NBER is likely to host more conferences on health care than on AI. But some academic economists have seized the AI opportunity." @TheEconomist