Kevin Boudreau

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Kevin Boudreau

Kevin Boudreau

@KevinJBoudreau

Professor @Northeastern | @NBERpubs | strategy, innovation, entrepreneurship, platforms, science | prev @Qualcomm @TheEconomist @DeloitteStrategy @Startups

USA, Canada Katılım Aralık 2010
973 Takip Edilen6.5K Takipçiler
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Kevin Boudreau
Kevin Boudreau@KevinJBoudreau·
Rideau River, Canada
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Joshua Gans
Joshua Gans@joshgans·
Great exercise and apparently the answer is ‘no.’ Which is interesting given the magnitude of investments taking place. nber.org/papers/w34243
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Ethan Mollick
Ethan Mollick@emollick·
In retrospect it is surprising that OpenAI released o1-preview. As soon as they showed off reasoning, everyone copied it immediately. And if they had held off releasing a reasoning/planning model until o3 (& called that GPT-5) it would have been a startling leap in AI abilities.
Noam Brown@polynoamial

@OpenAI o1 is trained with RL to “think” before responding via a private chain of thought. The longer it thinks, the better it does on reasoning tasks. This opens up a new dimension for scaling. We’re no longer bottlenecked by pretraining. We can now scale inference compute too.

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Gustavo de Souza
Gustavo de Souza@GusMicrotoMacro·
🚨New WP🚨 I used to think AI would replace workers. Studying a database with the near universe of commercial AI (including GenAI + factory, and office tools) I found the opposite: AI increases employment by giving low-skilled workers expert knowledge.🧵
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Kevin Weil 🇺🇸
Kevin Weil 🇺🇸@kevinweil·
💥 I’m starting something new inside OpenAI! It’s called OpenAI for Science, and the goal is to build the next great scientific instrument: an AI-powered platform that accelerates scientific discovery.
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Kevin Boudreau
Kevin Boudreau@KevinJBoudreau·
Bana, S., Boudreau, K. (2025) — AI-ENABLED JOB MARKETS & MARKET PARTICIPATION: A FIELD EXPERIMENT ON HOW AI SHAPES JOBSEEKERS’ EXPECTATIONS OF COMPETITION Field experiment showing that use and disclosure of AI reduces jobseeker participation by about 25%. lnkd.in/dsERsfy3
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Guy Adam Ailion
Guy Adam Ailion@guyadamailion·
Best analogy for @karpathy Vibe Coding. Is watching @justinbieber conduct an orchestra. With no sheet music, no conducting training—just vibes, hums and vision. And it's the future of how creators and designers will work. We will think in ''concept level'', orchestrating AI to bring ideas to life. @antonosika on the @20vcFund Listening, iterating, and flowing with it. Bieber is like master Vibe-Designer here. It's hypnotic and awesome to watch this tbh. 😎🥰 This is what 'text-to-x' paradigm will do for behavior. And why the @lovable of this era are creating. (sourced from his IG LIVE)
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Ethan Mollick
Ethan Mollick@emollick·
AI labs have managed to grab a significant piece of the profit generated by SaaS companies. Interesting piece by @mims: wsj.com/tech/ai/ai-cos…
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Bharat Chandar
Bharat Chandar@BharatKChandar·
Is AI already impacting the job market? A new paper from me, @erikbryn, and @RuyuChen at @DigEconLab digs into data from ADP. We find some of the ***first large-scale evidence of employment declines for entry-level workers in AI-exposed jobs.*** A thread on our paper:
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Kevin Boudreau
Kevin Boudreau@KevinJBoudreau·
Kevin Boudreau, Lars Bo Jeppesen, Milan Miric "ARTIFICIAL INTELLIGENCE AS A PLATFORM TECHNOLOGY: STRATEGIC IMPLICATIONS OF COMPETING ON TOP OF AN AI PLATFORM". forthcoming chapter in HANDBOOK ON AI & STRATEGY eds. Felipe Csaszar and Nan Jia papers.ssrn.com/sol3/papers.cf…
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NBER
NBER@nberpubs·
Between 50 to 60 percent of a scientist's research output is attributable to the institution where they work, and two thirds of this effect is driven by the presence of star researchers, from @amitabhchandra2 and Connie Xu nber.org/papers/w33996
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Misha Teplitskiy | Science of Science
Does professor quality matter for training the next generation of researchers? Or will good PhD students do good research either way? Quality matters
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Arvind Narayanan
Arvind Narayanan@random_walker·
I wish data centers would offer tours to the public and schools could take field trips to them. They are the defining pieces of infrastructure of our generation, but unlike railroads, the grid, or anything else, we never get to see them and experience their scale.
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Marshall Van Alstyne
Marshall Van Alstyne@InfoEcon·
Quite a useful reading list for AI, digital, and antitrust issues
Thibault Schrepel@ProfSchrepel

Here are my monthly reading suggestions. Topics include #computationalantitrust, efficient data sharing, an assessment of the DMA, GenAI through the lens of complexity science, proposals to fix the GDPR, new measures of innovator networks, articles operationalizing dynamic competition, and more: networklawreview.org/june-2025/ Featuring the work of @groza_teodora, @kwongervin, @InfoEcon, @AuerDirk, @laz_radic, @roryvanloo, @parshinshojaee, @MelMitchell1, @sfiscience, @tylercowen, @chengleisi, @tatsu_hashimoto, @diyi_yang, @dianamkwon, @0xMikolaj, @mario__leccese, @pricetheorist, @AaronLeonard_, @siemrothecon, @cesifoti, @DrDaronAcemoglu, @LucaGrilli3, @drbergqvist and many others!

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