https://aifaultline.com/authors/sarah-martinez/New papers by Sarah Martinez in the AI Fault Line guide, and news naming them. https://aifaultline.com/research/p/doi-10-53819-81018102t2581/https://aifaultline.com/research/p/doi-10-53819-81018102t2581/Fri, 03 Jul 2026 00:00:00 +0000A synthesis of secondary evidence (Census, BLS, OECD, IMF, Stanford AI Index, NBER experiments since 2020) arguing that AI adoption raises US labor productivity through faster task completion, better decision-making, and automation of routine cognitive work, but that gains are conditional on firm-level adoption, worker skills, complementary software/data investment, and workflow redesign. It restates the now-familiar micro-macro gap: strong experimental task-level gains (writing speed, customer support, coding) alongside cautious macro evidence because diffusion remains uneven. Useful mainly as a consolidation of the productivity-J-curve consensus rather than new estimates.