A Brookings paper just accidentally explained Zohran Mamdani

They weren’t trying to write a political story, not really. Mark Muro and his colleagues at the Brookings Institution published what looked like a dry geographic analysis earlier this month — a deep dive into which American counties have the most workers exposed to artificial intelligence. The headline finding was almost an afterthought: 62 of the 100 most AI-exposed counties in the United States voted Democratic in 2024. The authors noted the correlation carefully, distanced themselves from causal claims, and moved on. But read against the backdrop of what just happened in New York City this week, the paper looks less like a policy brief and more like a forensic explanation of a political earthquake nobody in the Democratic establishment saw coming. The map that explains everything On Tuesday night, New York City Mayor Zohran Mamdani — the democratic socialist who shocked the Democratic Party by routing Andrew Cuomo in last year’s mayoral race — completed one of the most striking primary sweeps in recent memory. Mamdani-endorsed candidates defeated entrenched Democratic incumbents across multiple congressional districts, with at least a dozen candidates aligned with the Democratic Socialists of America winning statewide. The Democratic Party’s establishment wing, still struggling to explain Mamdani’s rise, is now scrambling to explain his reach. The Brookings research from Muro, Todd Jones and Shriya Methkupally offers a structural answer they may not like. New York County — Manhattan — registers among the highest AI automation exposure scores in the nation, according to the report. Between 14% and 19% of workers there are employed in occupations where AI is not just theoretically capable of handling their tasks, but is already doing so — automating rather than merely assisting. The methodology, which draws on actual usage data from Anthropic’s Claude models, counts full automation at twice the weight of human-AI collaboration, making