Delighted to tell you that Messy Jobs is coming out on June 21st. The kindle preorder link is available! Here are advance reviews/blurbs for you to ponder by @raffasadun @davidautor @patrickc @alexolegimas @bengtmit and Evan Guo. "Messy Jobs is a brilliant application of price theory. AI changes what is scarce in the economy and therefore what is valuable. When intelligence becomes cheap, judgment, coordination, trust, and responsibility become more valuable. The authors use this simple, powerful logic to illuminate how AI will reshape work and organizations." Bengt Holmström, Paul A. Samuelson Professor of Economics at MIT and recipient of the 2016 Nobel Memorial Prize in Economic Sciences "In Messy Jobs, Garicano, Li, and Wu bring the discipline of organizational economics to a question too often left to speculation: How will AI actually reshape work? They move past the usual debates about what AI can or cannot do and ask the harder questions. What shapes the incentives to adopt it? How does adoption reshape the incentives to learn? What new configuration of skills will emerge as AI advances? A rigorous, original, and engaging account of how AI will reshape organizations and labor markets, and what it will take to thrive in them." - Raffaella Sadun, Charles Edward Wilson Professor of Business Administration, Harvard Business School "This is the first book in the AI era that recognizes that most of what organizations struggle with does not involve computational problems. People in messy jobs must hold coalitions together, adjudicate between competing interests, and make change stick. These are political, diplomatic, and interpersonal challenges. As a result, these types of messy jobs will persist well into our AI future. Garicano, Li, and Wu, are neither techno-utopian nor techno-dystopian. They take seriously what machines can do, what humans will do, and how jobs will be rebundled. The economics analysis is lucid and penetrating, and the book pinpoints where human agency will remain paramount. The book is hopeful and practical for anyone charting a career in the coming decade." - David Autor, Daniel (1972) and Gail Rubinfeld Professor, Google Technology and Society Visiting Fellow, Margaret MacVicar Faculty Fellow, MIT Department of Economics "This is simply a must-read book if you are interested in the future of work in the age of AI. For decades, Luis Garicano has been a leading voice in how organizations morph and change with new technology and innovation. Together with Jin Li and Yanhui Wu, they have written the definitive text on how AI will affect the labor market. The book is an impressive feat of combining academic rigor with clear explanations and concrete examples. I would recommend this book to anyone interested in learning about what comes next. "- Alex Imas, director of AGI Economics, Google DeepMind, and the Roger L. and Rachel M. Goetz Professor of Behavioral Science, Economics, and Applied AI, and Vasilou Faculty Scholar at the University of Chicago Booth School of Business "There is a lot of woolly thinking on the topic of AI and jobs. This excellent book contains by far the most thoughtful and economically literate account that has yet been written." - Patrick Collison, CEO, Stripe "AI is not going to lead to mass unemployment, and this is the best book to explain why not. It also illuminates how labor markets are likely to evolve. It is short, to the point, eminently readable, and of extreme relevance. ""- Tyler Cowen, professor of economics at George Mason University "This book isn't just some economist's armchair theorizing; it's a practical guide. I hope you get as much out of it as I did. "-- Evan Guo, CEO of Zhaopin Group, the largest career development platform in China amazon.com/Messy-Jobs-Work-C…

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This is just the economics of scarcity. Here is agriculture—same graph. Once something becomes plentiful (eg through automation), value reallocated to something that is scarce. We don’t eat less than before, if anything we eat way more. We don’t use computers less, we use them more. But neither is scarce, so their share of GDP decreases.

We’ve automated every single thing we can @every with AI agents. And yet there’s way more human work to do than ever. We’ve gone from 4 -> 30 human employees since GPT-3. I wrote a report on the structural reasons: how AI makes expert competence cheap, why that drives up demand for experts, and why the dynamic only intensifies as we approach AGI. After Automation: every.to/p/after-automation

Some news: This week I am starting at @GoogleDeepMind as Director of AGI Economics on @shanelegg’s team. I will be joining the other amazing cross-disciplinary scientists researching AGI there. My team will study how frontier AI could reshape the economy: what happens to work and labor, how wealth and power are distributed, how institutions adapt, how AI agents shape markets, and what kinds of models can help us reason clearly about futures that may look very different from the past. I’m incredibly excited to help build this research agenda. If AGI changes how society operates, economics is going to be critical for shaping our shared future. Many more announcements soon.

We are rediscovering comparative advantage. Nature is healing.

In an excellent essay, @alexolegimas argued for the demand for humanness (the "relational sector") as what would protect jobs from AI. Today in Silicon Continent I answer with the supply side argument I develop in my forthcoming book "Messy Jobs". siliconcontinent.com/p/why-d…

To try to make it easier, I created sciencespending.org, which brings together data from five agencies (NIH, NSF, DOE, NASA, and USDA) and different spending categories (new grants, all awards, and obligations) into one place

A message from NASA astronaut Christina Koch who has now arrived safely back to Earth: "To everyone who has been following my journey, I want to sincerely thank you for your continued support — it truly means everything. Being part of the Artemis II mission is not just a personal milestone, but a step forward for all of us who believe in exploration and possibility. To the young women and aspiring explorers out there: never doubt what you’re capable of. Your dreams are valid, your voice matters, and your place in science, engineering, and space is absolutely yours to claim. I hope my journey reminds you that no goal is too far, and no dream is out of reach when you commit to it. And to everyone inspired or interested in this path — stay curious, stay driven, and don’t be afraid to take that first step. I’m always grateful to connect with people who share the same passion, so feel free to reach out and be part of this journey with us." Christina, pictured above at Space Camp, attended every summer from the ages of 13 to 17. © A Mighty Girl #drthehistories

"Planet Earth: You. Are. A. Crew." Artemis II mission specialist Christina Koch reflects on what it means to be a "crew."

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The Obsidian team is growing from three engineers to four engineers. Competitive SF salary. Fully remote, live anywhere. Apply below.

Folks don’t want to hear this, but my guess is, in a year, you won’t look at the code your agent writes at all. Doing so would be both beyond your ability and pointless.

The idea of everyone building software intimidates people. For me, growing up in 80s and early 90s was unique because we used to program our own personal computers. Programming was an activity for everyone who had a computer.

31.55 million emails processed. 257,084 conversations with the assistant. About 150 years saved reading email. In 2025, Cora became the calm layer between people and their inbox. More to come in 2026.

I've never seen the Python community embrace any tool faster than they did with uv. uv is likely the best Python tool of the last few years. If you aren't using it yet, stop what you are doing and look into it. If you are already a user, check out the attached cheatsheet.

I forgot to re-up my subscription to @CoraComputer and it turns out I seriously took Cora for granted. 110 emails between my personal and Every email in my inbox before noon.... your inbox is not yours (without Cora)!

Phee National Holiday 👑 today