Anxiety about artificial intelligence is concentrated in Democratic-leaning states and cities in the US, according to a Brookings Institution analysis published this week. The analysis found that 62 of the 100 most AI-exposed counties, where workforces perform roles susceptible to AI automation, voted Democrat in the 2024 elections. This geographic concentration of AI exposure highlights a political dimension to the growing national conversation on AI risks ahead of the November midterm elections, as reported by fortune.com.
The Brookings report defines AI-exposed counties as those with larger shares of workers in roles that AI could potentially replace or transform. These counties include traditional Democratic strongholds such as Manhattan, the San Francisco Bay Area, and Seattle’s King County. Several swing states won by former President Donald Trump in 2024, including Arizona and Georgia, also show high AI exposure. The report suggests that the uneven distribution of AI impact may influence voter sentiment and campaign strategies in these areas, according to fortune.com.
The political implications of AI exposure are significant given the Democratic Party’s efforts to regain ground after electoral losses in 2024. AI-related job displacement fears and grassroots opposition to data center construction have fueled public backlash in these regions. The intersection of AI technology and politics underscores the challenges policymakers face in addressing economic and social concerns tied to AI adoption. This dynamic adds complexity to the broader debate on AI regulation and workforce transition in the US, according to fortune.com.
The Brookings Institution’s analysis was published on June 3, 2026, providing timely data as the US prepares for midterm elections in November. The findings offer a detailed map of AI exposure that could shape political discourse and campaign messaging in key battleground areas, according to fortune.com.