/Tech12h ago

Luis Garicano's upcoming book argues that cheap AI makes human judgment, trust, and coordination increasingly scarce and valuable

The book is scheduled for release on June 21.

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Original post
Alex Imas@alexolegimas#1842inTech

I did not mince words in my blurb: everyone interested in the economics of AI and what it meant for the labor market should read this book.

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 https://www.amazon.com/Messy-Jobs-Work-Cannot-Reach-ebook/dp/B0H42PP3BC/ref=sr_1_1?crid=3N1Q15D1J3HK6&dib=eyJ2IjoiMSJ9.wuVdS6rdYvaCCwU3wB2wvQ.PDWYQZrQbOILWxvO-N1BFogHHDCqBNx9Q4C3azr3Y_I&dib_tag=se&keywords=messy+jobs+garicano&qid=1781104489&sprefix=messy+jobs+garicano%2Caps%2C184&sr=8-1

9:16 AM · Jun 10, 2026 · 32.8K Views
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Many users expressed excitement for the Messy Jobs Book on AI reshaping work and preordered it due to its timely economic insights on trust and coordination, while a few complained about the lack of a physical edition.

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Adam Ozimek@ModeledBehavior

@alexolegimas Perfect timing, I look forward to reading it

9hViews 2.2KLikes 1
LIKES3

@lugaricano @raffasadun @davidautor @patrickc @alexolegimas @bengtmit Ordered

9hViews 495Likes 3
RETWEETS41

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 https://www.amazon.com/Messy-Jobs-Work-Cannot-Reach-ebook/dp/B0H42PP3BC/ref=sr_1_1?crid=3N1Q15D1J3HK6&dib=eyJ2IjoiMSJ9.wuVdS6rdYvaCCwU3wB2wvQ.PDWYQZrQbOILWxvO-N1BFogHHDCqBNx9Q4C3azr3Y_I&dib_tag=se&keywords=messy+jobs+garicano&qid=1781104489&sprefix=messy+jobs+garicano%2Caps%2C184&sr=8-1

13hViews 112.7KLikes 271Bookmarks 196
REPLIES1

@davidlee @raffasadun @davidautor @patrickc @alexolegimas @bengtmit Thanks! Hope you will enjoy it!

13hViews 483Likes 3
davidlee@davidlee

@lugaricano @raffasadun @davidautor @patrickc @alexolegimas @bengtmit Have used this term endlessly after reading your post so I'm excited for this!

13hViews 854Likes 1
Lars P Feld@Lars_Feld

@lugaricano @raffasadun @davidautor @patrickc @alexolegimas @bengtmit Congratulations, Luis.

12hViews 676Likes 3
James Harrigan@jamesharrigan

@lugaricano @raffasadun @davidautor @patrickc @alexolegimas @bengtmit looking forward to this!

9hViews 107Likes 1
Dan Churchwell@dwchurchwell

@lugaricano @raffasadun @davidautor @patrickc @alexolegimas @bengtmit Why is it only available as a kindle download...no physical version @amazon?

11hViews 272
Robert Höglund@RobertHoglund

@lugaricano @raffasadun @davidautor @patrickc @alexolegimas @bengtmit I preordered, very much looking forward to this!

12hViews 255
davidharbottle@davidharbottle

@lugaricano @davidlee @raffasadun @davidautor @patrickc @alexolegimas @bengtmit Looking forward to it. Will it be in paper format too?

12hViews 13Likes 1
Tim Starr@timstarr2001

@lugaricano @raffasadun @davidautor @patrickc @alexolegimas @bengtmit My version:

https://open.substack.com/pub/freemarketsandfirepower/p/maps-are-not-mapmakers

7hViews 36
adi 🌍@itsmeadiiii

You think if we move past the harder question of what ai can and cannot do we move to the question of “will people adopt it”? If it can do anything? Are you stupid?

Look, let’s start with what we all agree on: ai will be able to do anything a human can do. If you don’t agree with this then that’s as far as you go with me here.

If it can do anything a human can do, we can have it do anything a human doesn’t want to do that needs to be done. This is actually my definition of a job. I’m thinking of garbage men. You’re thinking of vcs. I’m sure people will continue to do things, I’m sure those things will be of value, and so I’m sure we’re going to call those things the new jobs, which is why I don’t disagree with your statement, in fact I think we agree on the idea, that the jobs that we don’t want to do we’re going to automate

6hViews 16
haro@harobuilds

@alexolegimas the "jobs are bundles of tasks" framing is the one most automation discourse skips entirely. that's why the predictions keep being wrong

12hViews 2Likes 1
Benjamin Lobmueller@benlobmueller

@alexolegimas @lugaricano Looking forward to Claude’s summary!

6hViews 7
Manh Hung ✨@manhhung_ai

@lugaricano @raffasadun @davidautor @patrickc @alexolegimas @bengtmit The emphasis on trust and coordination as the new scarce skills is spot on. Preordered.

6hViews 1