AI political groups see uneven returns from US midterm spending

Political groups aligned with both the AI industry and stronger AI safeguards spent millions of dollars in the US midterm elections, but the results were uneven. Two industry-focused political action committees, American Mission and Building the Future, collectively spent $4.8 million supporting South Carolina Senate candidate Darlene Graham, who lost her race.

American Mission, the Republican spending arm of Leading the Future (LTF), also spent more than $500,000 apiece supporting Republican House candidates Aaron Flint in Montana and Laurie Buckhout in North Carolina. Both candidates lost. LTF's Democratic spending arm, Think Big, achieved a more favourable result with Florida Representative Jared Moskowitz, who won reelection.

AI policy groups split their election bets

Groups seeking tougher AI safeguards also recorded mixed outcomes. Public First, which is backed by Anthropic, supported several Republican candidates through an affiliated PAC but found more success among Democratic candidates. It contributed $3 million to a PAC supporting California state Senator Scott Wiener, who was leading his race when the article was published.

Guardrails Alliance spent more than $1 million apiece opposing California Representative Jimmy Gomez and Montana candidate Flint; both lost. The group also spent $300,000 supporting Angela Gonzales-Torres, who defeated Gomez. The election results, however, cannot be cleanly separated from the broader Democratic wave that shaped Tuesday's contests.

Elon Musk reportedly put half a billion dollars into supporting Republicans in the midterms and also saw many candidates lose. LTF likewise backed candidates it considered likely winners, only to see them defeated by Democratic opponents.

Primaries remain the main strategic arena

For LTF, general-election spending is not necessarily the primary objective. The organisation told TechCrunch before Election Day that primaries can be a more effective use of political money because they build candidate name recognition and help establish AI policy agendas.

LTF spent $27.38 million in primary races, including $8 million opposing New York Assembly member Alex Bores during his unsuccessful congressional bid in June. In deciding whether to enter a general-election contest, the group evaluates the race's competitiveness, whether its spending could matter and whether funds should be retained for later elections.

Charlie Blaettler, political director of Guardrails Alliance, offered another explanation for LTF's lower general-election activity: AI-linked money may itself become an electoral issue. He cited a Michigan Senate primary in which AIPAC spent close to $30 million supporting Haley Stevens against Abdul El-Sayed. Stevens conceded the primary, and El-Sayed subsequently won the Senate seat.

Federal preemption is the central policy divide

The central dispute between industry-aligned PACs and groups advocating safeguards is whether Congress should create a national AI framework that overrides state laws, or leave states able to establish their own protections. LTF supports a single national framework and says it intends to keep spending through the 2028 elections. Guardrails Alliance says it will continue opposing candidates backed by the AI industry.

LTF's advertisements generally focus on issues popular with individual candidates rather than AI, while Guardrails Alliance's messaging specifically highlights industry political funding. For businesses, the practical implication is that AI compliance planning must account for both federal preemption proposals and the continuing possibility of state-level safeguards.