Silicon Valley AI political groups turn on each other in the 2026 election

Silicon Valley's AI political fight is not about whether AI should have rules. Both camps support innovation and some form of regulation. Their dispute concerns how quickly AI should be deployed, how strong safety requirements should be, and whether states can create their own rules.

The faster-development camp backs lighter, more uniform regulation and opposes a patchwork of state laws. Its rival favors stricter safety guardrails and greater state-level authority. In Florida's 25th District, Think Big supported Democrat Jared Moskowitz, while Defending Our Values spent heavily to support Republican Scott Singer.

The contest matters because congressional allies could shape national AI policy after the election. The faster camp has spent about $8 million in general-election congressional races, compared with about $6.9 million from safeguards-focused groups. Their rivalry may also weaken Silicon Valley's influence by dividing its money and political strategy.

A super PAC is a political committee that can raise unlimited funds from donors and spend that money independently to influence elections. It may support or oppose candidates through advertising, mail, voter outreach, and other communications. Its defining legal limit is that it cannot coordinate its spending strategy directly with a candidate or campaign.

The article tracks super PAC spending through Federal Election Commission filings. Think Big, American Mission, Defending Our Values, and other committees made independent expenditures for or against congressional candidates. In Florida, Think Big spent $310,000 supporting Jared Moskowitz, while Defending Our Values spent nearly $857,000 supporting Scott Singer and $740,000 opposing another primary candidate.

This system lets wealthy donors and organizations exert major influence without formally running a candidate's campaign. The groups' spending can help determine which candidates survive primaries and reach Congress, giving outside political networks a large role in AI policy.

Groups favoring faster AI development and lighter, more uniform rules spent roughly $8 million in general-election congressional races. Groups pushing stronger safeguards and more room for states to regulate spent about $6.9 million. CNBC calculated those totals from Federal Election Commission filings through October 20.

The totals measure independent expenditures by federal committees aligned with each camp. They include money supporting or opposing congressional candidates. They exclude state races and nonprofit advocacy spending, so they do not represent every dollar spent on the broader AI policy debate.

The spending gap is relatively small compared with the political stakes. Either side could gain influence in the next Congress by electing more allies. At the same time, the expensive rivalry shows that Silicon Valley has not created one unified AI political machine, potentially reducing its overall clout even as both camps spend heavily.

Silicon Valley's unified political strategy broke down because agreement on innovation was not enough. Both camps support some guardrails, but they disagree about how much regulation is appropriate, how quickly AI should be deployed, and whether states should retain authority to regulate it.

Those differences determine which candidates each network considers an ally. Think Big and American Mission favor faster development and opposition to a patchwork of state rules. Defending Our Values and allied safeguards groups support stronger safety requirements and state-level authority. In New York's 12th District, the two sides spent heavily on opposing positions around Alex Bores, an author of state AI safety legislation.

The result is a costly tug-of-war over individual congressional races. Each camp hopes its preferred candidates will shape the next Congress's AI agenda. But splitting donors, committees, and candidates may weaken Silicon Valley's combined political influence.

If one camp elects more of its preferred candidates, it could gain leverage over AI policy in the next Congress. That leverage could affect how quickly AI systems are deployed, how demanding safety guardrails become, and whether states can impose their own requirements.

The article shows how this contest works through campaign spending. Think Big spent $8.3 million trying to defeat Alex Bores in New York's 12th District because he authored major state AI safety legislation. An Paradox-backed PAC spent about $15 million supporting him, while allied safety groups spent millions more. Bores lost to Micah Lasher, but the spending demonstrated the policy stakes.

The election will not settle every AI debate, but it may change which priorities have more congressional support. Electing allies could give either camp an advantage. Continued infighting could also dilute Silicon Valley's broader political clout.

AI investors looked to cryptocurrency as a political model because pro-crypto groups had demonstrated that concentrated spending could produce electoral results. Fairshake and affiliated super PACs spent more than $130 million during the 2024 election cycle. Candidates it supported won 53 of 58 races, according to CoinDesk.

Leading the Future adopted a similar structure in August 2025. It launched with more than $100 million in commitments and created Think Big for Democrats and American Mission for Republicans. The groups supported candidates favoring faster AI development and opposition to a patchwork of state regulations. Their message was that lawmakers who opposed AI's agenda could face millions in spending against them.

The strategy initially succeeded in several Republican primaries. American Mission spent more than $500,000 supporting each of three candidates, and all three won their contests. But the AI version soon faced a rival safeguards network, preventing the unified campaign that the crypto model had inspired.

AI regulation involves both levels of government because the camps disagree over who should set the rules. The faster-development side favors lighter, more uniform national standards and opposes a patchwork of state regulations. The safeguards side favors stronger protections and more room for states to regulate.

This difference affects which candidates receive political support. Think Big backed candidates aligned with faster development and opposition to state-by-state rules. In New York, it spent $8.3 million trying to defeat Alex Bores, who authored major state AI safety legislation. A rival PAC supported Bores, reflecting the safeguards camp's preference for state authority.

The choice could shape how consistent AI rules are across the country and how much freedom states have to impose their own safeguards. Congressional allies from either camp could influence that balance. The article presents this federal-state question as a central reason Silicon Valley's AI coalition fractured.