AI is increasing the supply of formal 'intelligence' (models, algorithms, automated reasoning) which makes tacit, place‑specific human skills (Polanyi knowledge) relatively scarcer and more valuable. The result is rising marginal returns, employment, and real wages in occupations that depend on inarticulable local know‑how, even as some AI‑adjacent roles suffer transitional churn.
— Reorients debates about AI and jobs from 'mass automation vs mass unemployment' to distributional shifts that boost pay for tacit‑skill workers and require long‑term investment in absorptive human capacities.
Tyler Cowen
2026.09.26
62% relevant
One of the links is labeled 'Yet newer results on AI-driven labor demand', which directly connects to the ongoing empirical narrative about how AI reshapes labor markets (demand, displacement, and wage effects). Cowen's curation signals that a new study or dataset has appeared and should be checked against claims that AI chiefly destroys jobs versus creating demand for different tasks.
Tyler Cowen
2026.09.22
70% relevant
The link list points readers to 'Essays on whether AI will make management more valuable', directly engaging the question captured by the idea that AI's complementarity can increase the returns to tacit, managerial skills.
Janakee Chavda
2026.09.17
48% relevant
The survey tables showing differentiated concern across demographics and countries imply perceived distributional effects of AI—the public fear of job loss in richer countries signals political salience for policies that could protect tacit‑knowledge roles that may benefit or be insulated, linking public opinion to the debate about which worker groups gain or lose from AI.
Tyler Cowen
2026.09.13
100% relevant
Cowen’s claim that the U.S. experienced a 'huge positive shock to its Intelligence' and that the Polanyi sector is slow to scale (examples: Centaur models aiding mathematicians but not replacing office norms), is the concrete element illustrating this dynamic.