'Messy Jobs' makes Bloomberg's best books of 2026, with praise from Orszag and Brynjolfsson
TaniaBabina · x · 2026-11-14
Messy Jobs: The Work That AI Cannot Reach by Luis Garicano, Jin Li and Yanhui Wu was named one of Bloomberg's best books of 2026.
Peter Orszag (Lazard CEO): the most insightful analytical framework he's seen for AI's effects on jobs, built around the "autonomy threshold" — the point at which AI can handle an entire task. Jobs bundle tasks with different thresholds; "messy" tasks involving conflicting interests are hardest to automate, so jobs rich in them are most likely to persist.
Erik Brynjolfsson (Stanford HAI): clean tasks are discrete and verifiable, while messy jobs bundle judgment, coordination and accountability — making whole occupations far harder to automate than superhuman single-task performance suggests. Firms must invest in new processes and skills and endure the productivity J-curve before AI's payoff arrives.
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