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AI Funding

What's Breaking Through

Major AI companies spent millions on a New York congressional race, marking a significant corporate intervention in electoral politics.

tracking 12 signals across 5 source feeds

About this topic

In a striking development that underscores AI companies' growing political ambitions, Anthropic and OpenAI invested heavily in a Manhattan congressional race in 2024, spending a combined $27 million through proxy spending mechanisms. This unprecedented level of corporate intervention in electoral politics reflects how the artificial intelligence industry is beginning to flex its financial muscle in the political arena. The spending centered on a competitive New York state assembly race involving candidates Jack Schlossberg, a Kennedy family member known for his sardonic social media presence, along with other contenders including Bores and Lasher.

The proxy war between the two major AI firms demonstrates the stakes these companies perceive in electoral outcomes, likely motivated by concerns over future regulation, tax policy, and AI governance. Despite the enormous financial investment, the race produced an unexpected outcome: the winning candidate publicly rejected both Anthropic and OpenAI, telling them to stay out of local politics. This response highlights the tension between corporate political spending and voter preferences, suggesting that even massive expenditures don't guarantee favorable political outcomes or goodwill.

The incident raises important questions about corporate influence in elections and the appropriate role of tech companies in political processes. As the AI industry continues to grow in economic importance and regulatory scrutiny, their political engagement will likely increase. This New York race serves as an early indicator of how AI companies may attempt to shape electoral outcomes and policy environments in the coming years, while also demonstrating that candidates and voters may resist such heavy-handed corporate intervention regardless of spending levels.

13 signals from source feeds

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