ThinkTankWeekly

The political geography of AI exposure

Brookings | 2026-06-12 | economy

Topics: AI, United States

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English Summary

Brookings research reveals a strong correlation between counties with high AI automation exposure and Democratic voting in 2024, with 62 of the 100 most AI-exposed counties voting blue. AI exposure concentrates in white-collar information work (programming, marketing, analysis) predominantly located in urban, Democratic-leaning areas. The analysis suggests workers in these AI-exposed blue counties face heightened economic anxiety about job displacement, positioning AI as a potentially divisive policy issue in upcoming elections, particularly in highly exposed blue states like California and Massachusetts.

中文摘要

布魯金斯的研究顯示,在2024年,AI 自動化曝險程度高的縣市與民主黨投票傾向之間存在高度相關性。在百個AI曝險程度最高的縣市中,有62個投票傾向藍票。AI曝險主要集中在白領資訊工作(如程式設計、行銷、分析),且這些工作主要位於城市化、傾向民主黨的地區。分析指出,這些AI曝險的藍票縣市的勞工群體,對於工作崗位被取代感到經濟焦慮加劇,這使得AI成為一項潛在的、具爭議性的政策議題,尤其是在加州和麻州等高度曝險的藍州。

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