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New paper “AI and Competition Policy” forthcoming in IJIO. Will AI be dominated by a few firms? How will AI affect the market structure for existing sectors? What “traditional” competition policy issues arise with AI and what novel issues does AI raise? doi.org/10.1016/j.ijin…

ugh. the whole point of government investment is to *complement* where industry falls short or where there are market failures. not to say we shouldnt invest in data and/or compute, but this logic is the wrong way around.

I don't have too too much to add on top of this earlier post on V3 and I think it applies to R1 too (which is the more recent, thinking equivalent). I will say that Deep Learning has a legendary ravenous appetite for compute, like no other algorithm that has ever been developed

The news this week is focused on how companies throughout the AI stack are impacted by DeepSeek . The news this decade will be focused on how AI transformed every part of the stack of every industry. That includes factories. Where will AI take factories at the limit?

Platform Research in Marketing SSRN papers.ssrn.com/sol3/papers.cf… Ananya Sen (CMU), Anja Lambrecht (LBS), Jesse Newby (CMU) ... useful review!.

soooo i decided to make my husband an ai model… comment “recipe” if you want the weights 💌 #easyrecipe #pureRL #fypシ #local

Misunderstanding of AI comes down to two things. Nontechnical people focusing on current capabilities and not rate of growth (very fast); technical people not understanding that technical capabilities only loosely related to adoption/integration into existing orgs and processes.

At some point, maybe with Solow in the 60s, economists converged on seeing innovation as *the* key to economic growth. But wasn't it obvious? Still not 💯 clear to me what took so long, but here's one narrative (from Lerner)

These kids cooked a full planning system on Groq to have Richard Feynman teach you in your style. They have 17k users. Investors need to talk to these guys asap.

Research coming out of Stanford University identified 165 US unicorn founders with degrees from Indian universities. The data shows a clear pattern in their academic backgrounds: 75 (45%) studied engineering and 70 (42%) studied computer science.

The effect of exposure to AI and machine learning technologies on wage earnings and employment, from Menaka Hampole, Dimitris Papanikolaou, Lawrence Schmidt, and Bryan Seegmiller nber.org/papers/w33509

“Put (in) the hours. Unless you put a lot of effort, hours, sometimes sleepless nights. Because you are passionate about something.” Love that Daron Acemoglu emphasized this. As a grad student, I tried to work no less than my own advisors, and then more. m.youtube.com/watch?v=nqeFL9…

I have met many brilliant people in my life, but Pat was in a class of his own. He was the best grad student at MN in my time and one of the kindest, most generous souls in the profession. If I ever had a role model, it was Pat. I’ll miss you forever. cla.umn.edu/economics/news…

This guy literally builds an app with Grok 3 in 3 mins

All economists should read AI 2027. Slow adoption and diffusion is a correct prediction for all past transformative technologies. But AI is different. The essential difference is the capacity for self-improvement w/ superhuman software engineering.

We tend to think that many scientists just chase funding, switching to whatever is "hot" at the moment. But this study, maybe the only credible one on this topic, concludes otherwise:

Artificial Intelligence, Education, and Entrepreneurship | J of Finance | Document brain drain of AI professors from universities & implications.... Michael Gofman & Zhao Jin onlinelibrary.wiley.com/doi/full/10.11…

This is a really good set of notes, by Leonard Goff leonardgoff.com/teaching/Causa…

Carl is right. AI is already boosting productivity in many tasks, but the real power of general-purpose technologies, from the steam engine and electricity to AI, lies in catalyzing new products and processes.

Online Questrom Research Seminar Series on Digital Businesses - tonight 8 pm to 9 pm: Theory of the Value of Data in Prediction bu.edu/dbi/files/2025… Giovanni Colla Rizzi, Toulouse bu.edu/dbi/events/onl… Discussant: Gunhaeng Lee Moderator: Kevin Boudreau, Northeastern/NBER