AI PACs Spend Millions on the Midterms — and the Results Were Mixed

AI-linked political committees poured millions into Tuesday’s midterms to sway elections and the fight over how artificial intelligence should be regulated, but the returns were uneven: some heavily funded candidates lost, while a handful of targets backed by safety-focused groups prevailed. The spending underscores a new and increasingly expensive political battlefield over whether Congress should set one national AI framework or leave states room to write their own rules.

What happened in the midterms?

TechCrunch reported that AI-aligned and AI-safeguard PACs spent heavily across races tied to the 2026 midterms, with both sides trying to shape not only who wins office but also how lawmakers approach AI policy. The money did not always produce the intended result.

One of the clearest losses came in South Carolina, where American Mission and Building the Future spent a combined $4.8 million backing Darlene Graham, who lost her Senate race. American Mission also spent more than $500,000 each on Aaron Flint and Laurie Buckhout, both of whom lost House races.

On the other side of the political split, TechCrunch said the Democratic arm of Leading the Future, known as Think Big, backed Jared Moskowitz, who won reelection. Public First, which is backed by Anthropic, supported Republicans who lost through an affiliated PAC, but TechCrunch noted that the group did better when it backed Democrats. Public First also gave $3 million to a PAC supporting Scott Wiener, who was leading at the time of publication.

Guardrails Alliance, a group taking a more restrictive approach to AI, spent more than $1 million apiece opposing Jimmy Gomez and Aaron Flint; both lost. It also spent $300,000 supporting Angela Gonzales-Torres, who defeated Gomez.

Why it matters

The spending is important because it shows that AI policy is no longer just a technical debate among engineers and regulators. It has become a contest for legislative control, with money aimed at influencing which candidates are seen as friendly to the industry and which are seen as willing to impose safeguards.

For readers, the stakes are practical. The outcome of these races can shape whether AI rules come from Washington alone or whether states continue to write their own restrictions. That question matters to startups, big tech firms, civil-society groups, and voters who may never use the phrase “AI policy” but still live with its consequences in employment, education, health care, and online services.

It also matters politically because these groups are testing a familiar but volatile strategy: use outside spending to elevate a policy issue before voters have fully sorted out the candidates themselves. TechCrunch said the effect is hard to isolate from a broader Democratic wave, which makes it difficult to prove exactly how much the money moved votes. But even without a clean causal line, the scale of spending suggests the AI fight has entered the same hard-edged political arena once dominated by other single-issue donors.

How the AI policy split is being framed

The central disagreement is straightforward. One side wants a national AI framework that overrides state laws. The other wants state-level AI safeguards to remain in place, even if that creates a patchwork of rules.

That divide explains why the money has been distributed across both parties and multiple committees. The PACs are not simply backing “pro-AI” or “anti-AI” candidates in a broad sense. They are betting on lawmakers who will either protect the industry from fragmented regulation or give states room to move faster than Congress.

TechCrunch said the election spending by both camps was aimed at influence over AI regulation as well as specific races. In that sense, the midterms functioned as a test run for an issue likely to keep escalating as AI policy becomes more politically visible.

By the numbers

The figures reported by TechCrunch show just how quickly AI politics has become a serious spending category.

Who are the main players?

Several committees emerged as the main spenders in the AI political fight.

Leading the Future

Leading the Future spent $27.38 million in primaries, according to TechCrunch, including $8 million opposing Alex Bores in his June congressional primary loss. The group says primaries are especially effective because they can build name recognition and establish AI policy positions before a general election campaign hardens.

The group also said it plans to keep spending in the 2028 elections, signaling that this is not a one-cycle experiment.

Public First

Public First is backed by Anthropic and operated through an affiliated PAC. TechCrunch reported that it had better results when supporting Democrats than when backing Republicans, although one of its biggest disclosed bets was the $3 million it gave to a PAC supporting Scott Wiener.

Guardrails Alliance

Guardrails Alliance, which is focused on opposing AI industry-backed candidates, says it wants to make that money politically costly. Its political director, Charlie Blaettler, told TechCrunch, “They don’t want their money to become an issue in these elections” and “Our goal is to make AI money politically toxic”.

He also said, “We know people hate AI billionaires.”

Background and context

PACs can spend money on ads and campaign activity to influence elections, but they are legally separate from the candidates they support. That makes them useful vehicles for industries and advocacy groups trying to shape the debate without formally tying campaigns to a candidate’s own committee.

The current wave of AI spending is part of a larger pattern in American politics, where single-issue donors often aim to steer the rules before a major policy fight reaches a final stage. In this case, the issue is whether federal lawmakers should establish a uniform AI standard or whether states should continue creating their own safety rules.

That debate has obvious implications for the technology industry. A national framework could make compliance simpler for large companies operating across state lines. A state-by-state system could create more aggressive guardrails in some places and more permissive rules in others, which is why both sides are treating the issue as a political test, not just a policy argument.

The midterms also exposed the limits of money as a political tool. TechCrunch said the influence of AI spending is difficult to separate from a broader Democratic wave. That makes the results easier to describe than to quantify: the committees clearly mattered enough to spend millions, but the election outcomes were mixed enough to resist simple claims of victory.

What happened in the primaries?

The primary season appears to have been where Leading the Future made its boldest investment. The group’s $27.38 million in primary spending dwarfed many of its other reported outlays, and it framed those contests as the best place to define candidates early.

One prominent example was Alex Bores, who lost his June congressional primary after Leading the Future spent $8 million opposing him. The group argues that primary spending can be more effective than general-election spending because it helps shape the field before voters lock in their choices.

That strategy may become more common if AI issues stay high on the agenda. Primaries are often lower-turnout contests with narrower electorates, which can make a well-funded campaign more influential than it might be later in a general election.

How did the groups perform?

Overall, the results were mixed. Some large bets failed outright. Others landed. Several were still unresolved at the time TechCrunch published its report.

• American Mission and Building the Future backed Darlene Graham, who lost.
• American Mission’s support for Aaron Flint and Laurie Buckhout also ended in losses.
• Think Big backed Jared Moskowitz, who won reelection.
• Public First-backed Republicans lost, while its Democratic bets performed better.
• Guardrails Alliance helped defeat Jimmy Gomez and supported Angela Gonzales-Torres, who won.
• Scott Wiener was leading at publication after receiving $3 million from Public First to a supporting PAC.

That split outcome matters because it suggests neither the industry-friendly side nor the safety-first side has yet found a guaranteed formula. Both can spend heavily, but the political environment, candidate strength and broader election mood still decide a lot of the final outcome.

What happens next?

The immediate question is whether the midterm money translated into lasting influence on AI legislation or only temporary campaign visibility. TechCrunch identified several open questions that will matter going forward: how much the spending actually moved votes, whether Scott Wiener ultimately won after leading at publication, and whether more groups join the fight in future cycles.

The longer-range question is how these PACs adapt for 2028. Leading the Future has already said it plans to keep spending in those elections, and Guardrails Alliance wants future cycles to be harder on AI-industry-backed candidates. That suggests the money race is likely to intensify, not fade.

For regulators and lawmakers, the larger watch item is whether the national-versus-state AI fight becomes a defining policy issue in more races. If it does, outside spending is likely to keep rising, and the line between tech policy and electoral politics will become even thinner.

Timeline

The bigger political picture

The midterms suggest AI has joined the list of policy areas where outside groups believe election spending can reshape the lawmaking environment. But the results also show the hard limits of that strategy. Money can amplify a message, define an opponent, or help a candidate break through. It cannot guarantee victory.

That uncertainty may actually be the point. Each side is learning where its message resonates, which districts are most persuadable, and whether voters respond to warnings about industry influence or to arguments that a single federal rule is better than a patchwork of state laws.

For now, the clearest takeaway is that the AI policy fight has moved well beyond hearing rooms and into campaign finance reports. The next phase will determine whether these groups were early movers in a durable political realignment or simply very expensive participants in one noisy election cycle.