Inclusive Productivity Network

Food for thought! "Attention (And Money) Is All You Need: Why Universities Are Struggling to Keep AI Talent" by Ufuk Akcigit, Craig A. Chikis, Emin Dinlersoz, and Nathan Goldschlag nber.org/papers/w34964

Super interesting! "Artificial Intelligence, Productivity, and the Workforce: Evidence from Corporate Executives" by Baslandze, Edwards,  Graham, McClure, Sparks, Meyer, Waddell, and Weitz. papers.ssrn.com/sol3/papers.cf…

Highly relevant! "AI meets trade: Global linkages and the cross-country distribution of the gains from AI" by Francesco Filippucci, Peter Gal, Katharina Laengle, Matthias Schief, and Muhammed A. Yildirim oecd.org/en/publication…

Wow, super interesting! "The Origins of Modern European Economic Geography: Evidence from a Machine Learning Reconstruction of Regional GDP, 700-2000" by Ivan Sergio. papers.ssrn.com/sol3/papers.cf…

Highly relevant! "Disruption without dividend? - How the digital divide and task differences split GenAI’s global impact" by Paweł Gmyrek, Mariana Viollaz, and Hernan Winkler. ilo.org/sites/default/…

Highly relevant! "Same Storm, Different Boats: Generative AI and the Age Gradient in Hiring" by Magnus Lodefalk, Lydia Löthman, Michael Koch, and Erik Engberg. ratio.se/publikationer/…

Thought-provoking! "Calling something the 28th regime does not make it one" by Luis Garicano and Ulrike Malmendier. "We hope that the final version undergoes further revision, as, in its current form, it leaves a lot to be desired." substack.com/home/post/p-19…

Food for thought! "AI in Science" by Ajay K. Agrawal, John McHale, and Alexander Oettl. "...we describe how exogenous improvements in AI yield nonlinear productivity gains..." nber.org/papers/w34953

Highly relevant! "The Heterogeneous Earnings Impact of Job Loss Across Workers, Establishments, and Markets" by Susan Athey, Lisa K. Simon, Oskar Nordström Skans, Johan Vikström, and Yaroslav Yakymovych. nber.org/papers/w34946

Food for thought! "Why investors won’t know what to make of AI for a while: Markets always struggle to price technological revolutions" (The Economist) economist.com/finance-and-ec…

This is a really interesting post using the Enron email archive to test how good agents are at navigating work, and it provides some helpful evidence that agent swarms are less useful than agent organizations.

Food for thought! "Research on AI and the labor market is still in the first inning" by Jed Kolko. "all the important questions about AI's effects on the labor market are still unanswered." piie.com/blogs/realtime…

What are the effects of large human-capital shocks on innovation? In a new paper, we study how WWI military deaths across British communities affected local invention over the next decades. We find that places that lost more young men became persistently less innovative. (🧵1/11)

Super interesting! "Task-Specific Technical Change and Comparative Advantage" by Lukas Althoff and Hugo Reichardt. "Our key finding is that AI substantially reduces wage inequality while raising average wages by 21 percent." hugoreichardt.com/pdf/tstc_compa…

This by @davideoks is one of the best, most insightful essays on AI-driven labor displacement that I’ve read. People like to point to ATM as evidence that tech doesn’t displace labor. The ATM didn’t reduce bank teller employment—> true. But the iPhone did. David makes argument that putting AI into human-shaped roles will increase productivity but there’s tons of bottlenecks and complementarity effects. Human labor will still be around. What will create a huge boom in productivity and actually displace labor is the rise of AI-first organizations: where production is designed around AI to begin with. Where AI changes the paradigm of production from first principles. We are starting to see this happen already; I have an essay in the works on it. In the meantime: everyone should read this: open.substack.com/pub/davidoks/p…

Highly relevant! "The Changing Landscape of International Development: An Introduction" by Pascaline Dupas, Pinelopi Koujianou Goldberg, and Rohini Pande. nber.org/papers/w34943

#AI has transitioned from a technical tool to foundational #infrastructure by automating human reasoning and cognition. weforum.org/stories/2026/0…

Highly relevant! "Behind the breakthroughs: the hidden innovation workforce" by Innovate UK. "Only a limited share of roles involved in innovation explicitly reference it or sit within R&D teams." ukri.org/wp-content/upl…

Food for thought! "The Geometry Of Learning Under AI Delegation" by Lingxiao Huang and Nisheeth K. Vishnoi. "...AI assistance can strictly improve short-run performance while inducing persistent long-run performance loss..." cowles.yale.edu/research/cfdp-…

Food for thought! "The EU’s Energy Transition" by Carton, Dolphin, Duval, Hodge, Kara, Voigts, and Wende. "the EU’s energy transition only has modest macroeconomic impacts if it combines carbon pricing and green subsidies." elibrary.imf.org/view/journals/…