Political action committees (PACs focused on artificial intelligence poured millions into the 2026 midterm elections, aiming to influence Congress and the direction of AI regulation. Leading the Future (LTF), a group supported by OpenAI's president Greg Brockman and venture firm Andreessen Horowitz, spent $4.8 million backing South Carolina Senate candidate Darline Graham, who ultimately lost. American Mission, LTF’s Republican-focused arm, also supported candidates in Montana and North Carolina who were not successful, while Think Big, LTF’s Democratic wing, backed some winners like Florida Rep. Jared Moskowitz.

Groups pushing for stronger AI regulations, such as Public First backed by Anthropic, had mixed fortunes, seeing some Republican-backed candidates lose while securing Democratic victories. The Guardrails Alliance, which aims to stigmatize AI industry funding in politics, spent heavily opposing candidates who lost and supporting challengers like Angela Gonzales-Torres, who won. However, separating AI PAC spending's direct impact from the broader political trends, like a significant Democratic wave, remains challenging.

LTF concentrated much of its resources on primary elections, spending $27.38 million to support or oppose candidates, including $8 million against New York Assembly member Alex Bores. Their strategy favored influencing who makes it to general elections rather than heavily funding competitive general races, partly due to concerns about negative publicity and voter backlash against large tech spending. Political players acknowledge that heavy spending by tech-backed PACs risks becoming a liability for candidates amid widespread distrust of AI billionaires and tech lobbying.

A key contention between AI proponents and regulation advocates is whether the U.S. should pursue a cohesive national AI regulatory framework or allow states to retain regulation power. While LTF supports a national framework and intends to continue spending in future elections, groups like Guardrails Alliance remain committed to opposing candidates backed by the AI industry. The 2026 midterms revealed the complexities and challenges of shaping AI policy amid evolving public sentiment and political dynamics.