Political groups supporting and opposing the artificial intelligence industry poured millions of dollars into Tuesday’s midterm elections, waging a high-stakes proxy war to shape the future of national and state-level AI regulation. However, that massive spending produced decidedly mixed results, with several of the most heavily backed candidates ultimately losing their races as broader political currents swept the map.
On the industry side, two primary AI-focused political action committees—American Mission and Building the Future—spent a combined $4.8 million to back South Carolina Senate candidate Darline Graham, who ultimately lost her bid. American Mission serves as the Republican spending arm of Leading the Future (LTF), a broader political advocacy group backed prominently by OpenAI President Greg Brockman and the venture capital firm Andreessen Horowitz.
The group’s footprint extended beyond the Senate race. American Mission also poured more than $500,000 apiece into supporting Republican House candidates Aaron Flint in Montana and Laurie Buckhout in North Carolina. Both candidates failed to secure victories. Meanwhile, LTF’s Democratic spending arm, Think Big, experienced somewhat better fortune by backing Florida Representative Jared Moskowitz, who successfully won his reelection campaign.
Simultaneously, advocacy organizations pushing for tighter AI safeguards experienced their own mixed outcomes. Public First, a group backed by Anthropic, utilized its affiliated political action committee to support several Republican candidates who ultimately lost their races, though it found greater success when backing Democratic contenders. Furthermore, Public First contributed $3 million to a political action committee supporting California State Senator Scott Wiener, whose race was leading at the time of publication.
In contrast, the Guardrails Alliance—an organization dedicated to making the acceptance of campaign donations from AI companies a severe political liability—wielded its own financial weight. The group spent more than $1 million apiece opposing two candidates who ultimately lost: California Representative Jimmy Gomez and Montana’s Aaron Flint. Additionally, the Guardrails Alliance spent $300,000 supporting Angela Gonzales-Torres, who successfully defeated Gomez.
Discerning the direct impact of AI-related political spending during Tuesday’s contests proved difficult, largely due to the broader Democratic wave that influenced the elections. Notably, tech billionaire Elon Musk reportedly poured half a billion dollars into supporting Republican candidates during the midterms, only to watch many of those same candidates lose their respective races. LTF similarly backed several candidates it anticipated were strong contenders, only to see them fall to Democratic challengers.
For Leading the Future, however, the general election was never the primary strategic focus. Ahead of Election Day, representatives from the group explained that they view primary elections—the critical contests that determine each political party’s nominee—as a far more effective use of their capital. Spending during primary cycles allows groups to build vital name recognition early and helps align candidates with specific AI policy agendas before general electorates ever cast a ballot.
During the primary season alone, LTF deployed $27.38 million. This included an investment of $8 million dedicated solely to opposing New York Assembly member Alex Bores, who ultimately lost his congressional bid back in June. When evaluating whether to intervene in a general election contest, LTF typically assesses how competitive the race is, whether financial contributions can realistically tip the scales, and whether it makes more strategic sense to keep its resources preserved for future election cycles.
Charlie Blaettler, political director for the Guardrails Alliance, offered a fundamentally different perspective regarding why industry-backed groups like LTF kept their general election spending relatively restrained.
According to Blaettler, industry heavyweights deliberately sought to avoid drawing intense public scrutiny. He pointed to the Michigan Senate primary election as a cautionary tale, where the pro-Israel lobbying group AIPAC spent close to $30 million supporting Democratic candidate Haley Stevens against challenger Abdul El-Sayed. Stevens ultimately conceded that primary to El-Sayed, who went on to capture the Senate seat.
In Blaettler’s view, outside spending on that scale backfires by making the funding entity the central issue of the race. He noted that the public harbors deep distrust and frustration toward technology billionaires and the heavy-handed lobbying practices of the tech sector. Consequently, if industry groups spend aggressively in competitive races, they risk transforming themselves into an enormous political liability for the very candidates they are trying to help.
At the heart of the ongoing conflict among these AI political action committees—spanning both pro-industry and pro-regulation camps—is a fundamental legislative battle. The core dispute centers on whether Congress should establish a uniform national AI framework capable of overriding state-level laws, or whether individual states should retain the authority to impose their own independent safeguards and restrictions.
Neither side appears willing to back down. LTF, which strongly favors a single national regulatory framework, confirmed its intention to continue spending heavily through the 2028 election cycle. Meanwhile, the Guardrails Alliance asserted that it will maintain its aggressive stance of opposing any candidate backed by the artificial intelligence industry.
Blaettler noted a distinct tactical difference in how these opposing forces campaign. While LTF’s advertisements rarely mention artificial intelligence directly—choosing instead to focus on popular, localized issues for each candidate—advertisements from the Guardrails Alliance are explicitly built around exposing which candidates accept money from the tech sector.
The overarching objective, Blaettler emphasized, remains crystal clear: to make accepting AI industry money politically toxic for candidates nationwide.