Abstract: Artificial intelligence (AI) is reshaping labor markets worldwide, yet most analyses focus narrowly on which occupations face the highest AI "exposure" while overlooking workers' varied capacity to navigate potential job displacement. This article synthesizes emerging research that combines AI exposure measures with adaptive capacity indicators—including financial resources, age, geographic density, and skill transferability—to identify which workers face the greatest vulnerability if AI-driven disruption leads to job loss. The findings reveal a nuanced landscape: while approximately 70% of highly AI-exposed workers (26.5 million of 37.1 million) possess strong adaptive capacity, roughly 6.1 million workers—predominantly women in clerical and administrative roles—face both high AI exposure and limited means to weather transitions. The article explores evidence-based organizational and policy responses, emphasizing targeted support, skill development, and systemic resilience-building to ensure that AI's labor market transformation promotes broadly shared prosperity rather than concentrated hardship.
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