This week's episode of Hard Fork unpacks "the loudest warning yet about AI and jobs" with Lab Director @erikbryn.bsky.social! Listen on Apple: podcasts.apple.com/us/podcast/t... Listen on Spotify: open.spotify.com/episode/5IAn...

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

"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.com's new profile on @erikbryn.bsky.social: www.theatlantic.com/ideas/2026/0...

The Man Who Saw AI Coming

Erik Brynjolfsson wants to talk with you about the future.

theatlantic.com

How AI will change the job market, and how to prepare: insights from 16 top economists, including SIEPR's @nickbloom.bsky.social and Bharat Chandar, @stanforddel.bsky.social economist. Gift link ⤵️ tinyurl.com/4r25y7zw #FutureofWork #AI

Economists Weigh In on the Future of Work and AI

How 16 top economists think AI will change the job market, and how to prepare.

tinyurl.com

The Transformation Tracker is part of the AI Economic Indicators project! It tracks progress toward transformative AI: a technology-powered economic transformation at least as significant as the Industrial Revolution but unfolding in a vastly shorter time. Explore here: transformation.stanford.edu

Transformation Tracker - Stanford Digital Economy Lab

transformation.stanford.edu

What happens to wealth and value (human or otherwise) in a world with more and more advanced AI? Postdoctoral Fellow Phil Trammell joined @aleximas.bsky.social (Google DeepMind)) to unpack the question on the Dwarkesh Podcast. Watch: www.youtube.com/watch?v=Jj-k...

What remains scarce after AGI? – Alex Imas and Phil Trammell

YouTube video by Dwarkesh Patel

youtube.com

"A lot of people are under the mistaken idea that the only way that you get productivity from A.I. is by removing labor costs." — @erikbryn.bsky.social @nytimes.com looks at a case where AI makes workers more productive, rather than replacing them: www.nytimes.com/2026/05/29/b...

A.I. Doesn’t Have to Mean Layoffs

nytimes.com

Will AI lead to fewer or more jobs? What's the danger of AI that mimics human intelligence? And can AI create opportunities for workers? On @nxthompson.bsky.social's "Most Interesting Thing in AI," @erikbryn.bsky.social challenges both AI optimists and pessimists. www.youtube.com/watch?v=Hpgj...

Will AI Create More Jobs Than It Destroys? Economist Erik Brynjolfsson on What the Data Says

YouTube video by Nicholas Thompson

youtube.com

Hope you had a great holiday weekend! Some recent news to get up to speed (and let’s be honest, put off that workload a little longer)… 🧵1/10

"The possibility that AI will automate most cognitive labor is worth taking seriously. How should we adapt to this transformation?" @randomwalker.bsky.social's DEL seminar, "Adapting to the Transformation of Knowledge Work," is now available! Watch on YouTube: youtu.be/uiTwQG1ZyTw

Arvind Narayanan: Adapting to the Transformation of Knowledge Work

YouTube video by Stanford Digital Economy Lab

youtu.be

This week, Tom Mitchell welcomes Bruce Buchanan, a PhD Philosopher turned machine learning researcher, to talk about his unique contributions to machine learning history. Watch the newest episode of Machine Learning: How Did We Get Here? here: youtu.be/nZNCjf-WOfk

Ep. 14 - From Philosophy to Machine Learning with Bruce Buchanan

YouTube video by Stanford Digital Economy Lab

youtu.be

Those who missed Kristina McElheran's seminar yesterday are in luck: "The Rise of Industrial AI in America: Microfoundations of the Productivity J-curve(s): is now available to view online! Watch on YouTube: youtu.be/pKYydu-7SwM

Kristina McElheran | The Rise of Industrial AI in America

YouTube video by Stanford Digital Economy Lab

youtu.be

New podcast ep for your Monday commute! Tom Mitchell talks with John Laird (Center for Intregrated Cognition) about 40 years of trying to build AI agents that replicate the full range of human cognitive abilities. 🍎Listen on Apple: podcasts.apple.com/us/podcast/a...

AI Agents to Model Human Cognition with John Laird

Podcast Episode · Machine Learning: How Did We Get Here? · May 11 · 33m

podcasts.apple.com

"Do you think the problem of speech recognition is solved?" This week @kaifulee.bsky.social, CEO of 01.ai, sits down with Tom Mitchell (@cmu.edu)to talk about decades of discovery and breakthrough in the field of machine learning and speech recognition. 📺Watch on YouTube: youtu.be/jyvsnXosKAo

Ep. 12 - Machine Learning and Speech Recognition with Kai-Fu Lee

YouTube video by Stanford Digital Economy Lab

youtu.be

What is the relationship between neural network approaches in machine learning, and real neural networks in the brain? In his latest podcast, Tom Mitchell (@cmu.edu) talks with Jay McClelland (Stanford University) about modeling cognition in the brain. 📺Watch on YouTube: youtu.be/GArl9AZdCJk

Ep. 11 - Machine Learning meets Cognitive Neuroscience with Jay McClelland

YouTube video by Stanford Digital Economy Lab

youtu.be

Congratulations to Lab Digital Fellow Angela Aristidou, Digital Fellow @avinashc.bsky.social, and Research Scientist David Nguyen for being a part of Google AI's inaugural group of global economic scholars! ai.google/economy/ai-e...

Global Scholars: Researching the Future of AI and the Economy

Meet the 8 scholars leading independent inquiries into AI's transformative effects on energy infrastructure, organizational productivity, and welfare.

ai.google

How do AI agents influence knowledge work? @suproteem.cc's talk at the DEL Seminar Series is now available on YouTube! Moderated by @erikbryn.bsky.social, Sarkar discusses three projects on the Economics of Applied AI. Watch here: youtu.be/4_T4aTLWtwY

Suproteem Sarkar: Economics of Applied AI

YouTube video by Stanford Digital Economy Lab

youtu.be

When Daphne Koller wanted to see her machine learning research make a real-world impact, she left academia to build @insitro.bsky.social. Her conversation with Tom Mitchell ( @cmu.edu) on probabilistic models, AI in biotech, and more is our latest podcast episode! 📹YouTube: youtu.be/DReHVP8rpSw

Ep. 10 - Learning Probabilistic Models with Daphne Koller

YouTube video by Stanford Digital Economy Lab

youtu.be

Tranformative AI could drive innovation, but it may also amplify mis- and disinformation, and leave corrective efforts underprovided. How do we respond? Watch Joseph Stiglitz and Màxim Ventura-Bolet discuss their Digitalist Papers essay here: www.youtube.com/watch?v=UpMj...

Innovation and misinformation in the AI era | Joseph Stiglitz and Màxim Ventura-Bolet

YouTube video by Stanford Digital Economy Lab

youtube.com

For those who missed Zoë Hitzig's visit to our Seminar Series, it's now available on YouTube! Watch "How People Use ChatGPT," moderated by Director @erikbryn.bsky.social, here: youtu.be/czrKIiuHZ-U

Zoë Hitzig: How People Use ChatGPT

YouTube video by Stanford Digital Economy Lab

youtu.be

New podcast episode for you! The field of Statistics enters the Machine Learning conversation, as Tom Mitchell (@cmu.edu) talks with Michael I. Jordan of Inria Paris! Watch here: youtu.be/BfBxS2rEH3k

Ep. 8 - Machine Learning Meets Statistics with Michael I. Jordan

YouTube video by Stanford Digital Economy Lab

youtu.be

🎙️New episode of Machine Learning: How Did We Get Here? Tom talks to Ross Quinlan, the person who introduced the idea of decision tree learning to the ML community. ▶️Listen on Spotify: open.spotify.com/episode/5EF0...

Decision Tree Learning with Ross Quinlan

open.spotify.com

How can experimentation shape AI policymaking for the better? Ajay Agrawal (@rotmanschool.bsky.social) discusses his essay (co-authored with @joshgans.bsky.social) from The Digitalist Papers here: youtu.be/Zesl51M6WT0?...

The impact of experimentation on AI policymaking | Ajay Agrawal

YouTube video by Stanford Digital Economy Lab

youtu.be

What is reinforcement learning? What does one of its most common framings miss? And how did one of its most influential researchers get into the field? 2024 Turing Award winner @RichardSSutton joins Tom on today’s Machine Learning: How Did We Get Here?: open.spotify.com/episode/6b7n...

Reinforcement Learning with Rich Sutton

open.spotify.com

🎙️New episode of "Machine Learning: How Did We Get Here?" Tom Mitchell (@cmu.edu) and @yann-lecun.bsky.social, Executive Chairman of AMI Labs and Professor at NYU, discuss how technological advances and commercial forces shaped AI history. Listen on Spotify: open.spotify.com/episode/5AbF...

Is the AI J-curve taking shape? Lab Director @erikbryn.bsky.social for @financialtimes.com examines how we might finally be seeing that productivity growth we've been waiting for. www.ft.com/content/4b51...

The AI productivity take-off is finally visible

New economic data suggests the US is transitioning to a phase of measurable gains from the technology

ft.com

As Super Sunday gives way to a Modest Monday, let’s take a look at some recent news… 🧵 1/10

Hot cocoa season is here! Toss in a few marshmallows and check out some recent news… 🧵1/10

You survived the holiday, now let’s ease back in with some recent news… 🧵 1/10

Some Monday morning news for that cold November rain… 🧵1/10