Silicon Valley AI groups split into rival camps for 2026 elections

A house divided by policy

Silicon Valley's attempt to create a unified political front for artificial intelligence has fractured into a costly internal rivalry. Two distinct camps of political groups are now competing to influence the 2026 midterm elections by backing different types of candidates. One side advocates for faster development and lighter, more uniform rules, while the other pushes for stronger safety guardrails and more power for states to regulate the technology.

As reported by CNBC, these groups are spending millions to secure an edge in congressional races. The pro-development camp has spent roughly $8 million in general-election races, slightly outpacing the $6.9 million spent by the safety-focused groups. This split highlights a fundamental disagreement over the speed of deployment and the reach of government oversight.

Both sides agree that some form of regulation is necessary, but they remain locked in a tug-of-war over the specific details. Bruce Freed, a former chief investigator for the Senate banking committee, noted that funds are moving in every direction as groups try to control the outcome of what happens. This competition suggests that the industry's clout may be weakened by its own internal divisions.

The cryptocurrency playbook

The current political strategy for AI was modeled after the tactics used by the cryptocurrency industry. Pro-crypto super PACs, backed by major firms like Coinbase and Ripple, spent more than $130 million during the 2024 election cycle. That spending resulted in a 91% success rate for the candidates they supported, according to CoinDesk.

AI investors took note of this success and launched a similar infrastructure in August 2025. The Leading the Future network received over $100 million in commitments from tech heavyweights, including OpenAI President Greg Brockman and co-founder Joe Lonsdale. This network deployed both Democratic and Republican PACs to support candidates who favor faster AI development and oppose a patchwork of state regulations.

The goal was to use massive financial outlays to influence lawmakers, a move that some watchdogs have criticized. Sacha Haworth, founder of the Tech Oversight Project, suggested the industry intended to use these funds to bully lawmakers into submission. While the strategy worked in some early primaries, it has also triggered a counterattack from within the industry itself as rival groups formed to oppose it.

A high-stakes primary battle

The friction between these two camps became visible in several high-profile primary races. In New York’s 12th District Democratic primary, the pro-development group Think Big spent $8.3 million to defeat a state Assemblymember who authored major AI safety legislation. The safety-focused camp countered with about $15 million to support him, along with millions more from allied groups.

This specific race saw a combined spending of $23.3 million, which accounted for about 40% of the two camps' primary spending nationwide. Although the pro-development group won the tactical victory in that race, the spending helped fuel a backlash against safety-first candidates. This has created a situation where spending against one group can trigger a counterattack from the other side of the industry.

In Florida's 25th Congressional District, the split produced a direct face-off in the general election. Think Big spent $310,000 supporting a Democrat, while a safety-focused super PAC dropped almost $857,000 to boost a Republican opponent. These localized battles serve as a microcosm of the broader breakdown in the bid to build a unified AI political machine.

Fading momentum and backlash

Despite the high stakes, the pace of spending has plummeted as the general election approaches. Leading the Future's network reported roughly $26 million in primary spending compared to only $8 million for the general election. Similarly, safety-focused groups reported about $32.1 million in primary spending versus $6.9 million in the general election.

This slowdown may be a result of the smaller number of competitive races in November, but it also reflects a shift in public opinion. A new CNBC All-America Economic Survey found that 52% of registered voters believe companies should pause AI development until Congress passes regulations. Furthermore, a majority of voters expressed opposition to having an AI data center located near their homes.

The political climate is becoming more difficult for AI companies to navigate as the backlash grows. Some major donors have even retreated from their political spending plans. For example, Meta returned $25 million in funding this summer, cutting its planned state-level political push by nearly 40%.

Reputational risks for leaders

The internal friction is also causing significant reputational issues for some of the world's largest AI companies. Internal communications at OpenAI revealed that the company's leadership was aware of the negative public perception caused by the tactics of certain backers. Following these objections from employees, the Brockmans abandoned plans for an additional $25 million contribution to the pro-development group.

OpenAI CEO Sam Altman recently commented on the difficulty of the current situation. He told Politico that spending money on politics is not necessarily going to make the public feel better about the technology. This sentiment reflects a growing realization that financial influence alone may not be enough to overcome public skepticism.

As the 2026 elections approach, the outcome of these battles will determine which camp holds the most influence over federal policy. If the industry remains divided, it may struggle to present a coherent vision for AI governance. For now, the industry faces a period of uncertainty as it tries to reconcile its goals with growing public and internal scrutiny.