New MIT research shows automation targets wages, not just headcount, and AI startups are selling the tool
MIT economists David Autor and Neil Thompson show automation's wage impact depends on which tasks are automated: removing complex tasks compresses wages by lowering skill barriers, while removing simple tasks raises them. Combined with research showing automation threats weaken worker bargaining power, the findings reframe AI efficiency tools as wage-setting infrastructure with distributional consequences.