https://aifaultline.com/authors/jonathan-westover/New papers by Jonathan Westover in the AI Fault Line guide, and news naming them. https://aifaultline.com/research/p/doi-10-70175-hclreview-2020-36-1-7/https://aifaultline.com/research/p/doi-10-70175-hclreview-2020-36-1-7/Wed, 01 Jul 2026 00:00:00 +0000Westover formalizes a strategic externality in AI automation: citing over 100,000 tech layoffs attributed to AI in 2025, he uses game-theoretic models to show that each firm captures the full cost savings from automating while bearing only a fraction of the aggregate demand destruction, trapping rational firms in an automation arms race above the collectively optimal level, with the perverse results that better AI worsens the problem and fragmented markets suffer most. The policy claim is stark: wage flexibility, profit-sharing, and voluntary coordination cannot fix the distortion, so only Pigouvian automation taxes calibrated to uninternalized demand losses restore efficiency, sharpening the case for taxing the per-task automation margin rather than managing displacement after the fact. https://aifaultline.com/research/p/doi-10-70175-hclreview-2020-35-3-6/https://aifaultline.com/research/p/doi-10-70175-hclreview-2020-35-3-6/Mon, 01 Jun 2026 00:00:00 +0000A practitioner-oriented synthesis of labor economics, organizational psychology and management research on preparing workforces for AI. It argues the impact depends on whether firms use AI to augment or to automate roles, and outlines interventions such as transparent communication, reskilling programs and human-AI collaboration protocols.