# AI Super PACs Duel Over Midterm Spending > Source: > Published: 2026-06-04 00:18:59.859676+00:00 # AI Super PACs Duel Over Midterm Spending The New York Times reports that two influential AI-aligned super PACs, **Public First** and **Leading the Future**, have together spent nearly **$24 million** in the 2026 U.S. midterm cycle and that reporting says **over $100 million** more has been signaled for future activity, per Theodore Schleifer in the New York Times. The NYT frames the spending as a proxy conflict between **Anthropic** and **OpenAI**, with Public First allied with Anthropic and Leading the Future aligned with OpenAI. Pixel Envy's coverage highlights Schleifer's reporting and characterises the coverage as leaving the author skeptical about near-term prospects for coherent AI policy in Washington. ### What happened The New York Times reports that two prominent AI-focused super PACs, **Public First** and **Leading the Future**, are among the largest spenders in the 2026 midterms, having laid out nearly **$24 million** so far and with reporting that **over $100 million** more has been indicated, according to Theodore Schleifer in the New York Times. The NYT frames the financial competition as a proxy between **Anthropic** and **OpenAI**, reporting that Public First is allied with Anthropic and Leading the Future is aligned with OpenAI. Pixel Envy republishes and comments on Schleifer's reporting, noting the story's depth and saying it left the author feeling uncertain about AI policy prospects in the U.S. ### Editorial analysis - technical context Industry observers note that major vendors and model developers increasingly engage in political spending to influence regulatory and legislative outcomes. Large, well-funded advocacy campaigns can affect the framing of technical issues-such as model transparency, safety standards, and procurement rules-by shaping which policy proposals gain traction among lawmakers and staff. For practitioners, this trend can translate into shifts in compliance priorities, procurement criteria, and the regulatory risk profile for product development. ### Industry context Reported high-dollar spending by AI-aligned PACs is consistent with a broader pattern of technology firms deploying political capital to shape regulation that affects core business models. Coverage in the New York Times presents the duel as concentrated among a small set of powerful AI firms and their allied advocacy groups, raising the visibility of AI policy as a contested field in the 2026 election cycle. ### What to watch - •FEC filings and public disclosures for both PACs and their major donors, which will clarify flow of funds and timelines. - •Legislative proposals and hearings where sponsored messaging from advocacy groups appears, especially on AI safety, liability, and procurement. - •State-level ballot measures or regulatory actions where targeted spending could affect implementation of AI rules. - •Commentary from policy think tanks and congressional staff that may adopt language originating in sponsored campaigns. ### Observed limitations of reporting The NYT reporting documents the spending and the alignments; it does not publish internal strategy documents from the firms. Pixel Envy highlights the reporting and offers an outsider's sceptical response to prospects for coherent AI policy. ### For practitioners Monitor policy signals and compliance requirements entering procurement and product-roadmap discussions; public advocacy spending can change the timeline and content of regulatory priorities even when technical details remain contested. ## Scoring Rationale This story is notable for AI practitioners because concentrated political spending by major model vendors can influence the shape and timeline of AI regulation. It is not a technical breakthrough but has material implications for compliance and procurement decisions. Practice with real Ad Tech data 90 SQL & Python problems · 15 industry datasets [Active Search Campaigns by BudgetEasy](/problems/sql/active-search-campaigns-by-budget) [High CPC Clicks & Poor Landing PagesMedium](/problems/sql/high-cpc-clicks-poor-landing-page) [Campaign ROAS by Attribution ModelHard](/problems/sql/campaign-roas-by-attribution-model) 250 free problems · No credit card [See all Ad Tech problems](/problems/datasets/adtech)