https://aifaultline.com/authors/ece-ozge-emeksiz/New papers by Ece Ozge Emeksiz in the AI Fault Line guide, and news naming them. https://aifaultline.com/research/p/doi-10-5089-9798229052931-018/https://aifaultline.com/research/p/doi-10-5089-9798229052931-018/Wed, 01 Jul 2026 00:00:00 +0000This IMF Selected Issues paper applies occupational exposure-complementarity measures to Israeli microdata and finds most Israeli workers stand to benefit from generative AI, but roughly one-fifth of the workforce is highly exposed with low complementarity and thus displacement-vulnerable, benchmarked against selected European economies. It extends the Cazzaniga et al.-style IMF exposure framework to a highly tech-intensive labor market and grounds the policy case for lifelong learning, reskilling, and mid-career training as the main buffer against AI-driven displacement.