Two AI super PACs, each claiming to represent the future of the technology, are pouring millions into the same congressional race. Both back the same candidate. That's not a glitch — it's the new reality of tech money in politics.
The artificial-intelligence industry is following the crypto sector's playbook: throw cash at politicians and hope for friendly regulation. But there's a twist. Unlike crypto, which mostly united behind a small army of pro-bitcoin candidates, AI is splitting into warring factions — and they're both betting on the same horse.
The Money Trail
In Virginia's 10th district, incumbent Democrat Rep. Jennifer Wexton faces a tough rematch against Republican challenger Mike Clancy. Wexton has received over $2.3 million from two super PACs: the American AI Alliance and the Responsible AI Future Fund. Both claim to advocate for the industry's best interests. Both claim the other is wrong.
The American AI Alliance is backed by companies like OpenAI and Google DeepMind. They want minimal regulation, arguing that innovation will solve any safety concerns. Their ads say Wexton will "keep America first in AI." The Responsible AI Future Fund, bankrolled by Anthropic and the Center for AI Safety, wants strict federal oversight. Their ads claim Wexton will "ensure AI doesn't kill us all."
“We're funding the same candidate for completely opposite reasons. It's absurd, but it's the only path to a seat at the table.” — a strategist for the Responsible AI Future Fund
Why Double Down on One Candidate?
Simple math. There are only a handful of swing districts where AI money can actually flip a seat. Virginia's 10th is one of them. Both PACs calculated that backing Wexton is safer than splitting the field. If they each bet on a different candidate and lose, they both lose. If they both back Wexton and she wins, they can fight for influence later.
It's a cynical bet. But it's also a sign of how AI companies view government: as a game to be played, not a force to be shaped. They're not buying policy. They're buying access. They want to be in the room when the rules get written.
What Does Wexton Actually Believe?
Good question. Wexton's public statements on AI are a masterclass in vagueness. She supports "responsible innovation" and "smart guardrails." She's co-sponsored a bill to study AI's impact on jobs, but hasn't taken a stand on the key fight: whether the Federal Trade Commission or a new agency should regulate AI. She's keeping her options open — and both PACs are happy to keep paying for that ambiguity.
Wexton's campaign spokesperson declined to comment on the PAC money, saying only that the congresswoman "welcomes support from all who believe in a strong, ethical AI sector." In other words: keep the checks coming, we'll figure out who to listen to later.
The Crypto Parallel
This isn't new. In 2024 and 2025, crypto super PACs dumped over $100 million into congressional races, often backing candidates on both sides of the aisle. The strategy worked: Congress passed a crypto-friendly bill in 2025 that weakened the SEC's oversight. AI firms are copying that playbook — but with a twist. Crypto firms largely agreed on what they wanted: lighter regulation. AI firms don't agree on anything.
The debate inside AI is existential. Some companies want to build artificial general intelligence as fast as possible; others want to pause and ensure safety. Some want open-source models; others want proprietary control. The one thing they all agree on? You need friends in Washington.
Who Really Wins?
For now, the winners are politicians like Wexton, who collect checks from both sides. The losers are voters, who get a one-sided debate funded by interests that don't even pretend to agree. The AI industry's internal conflict means that the public conversation about AI — about job displacement, bias, safety, and concentration of power — gets buried under a pile of cash.
When both sides of a debate pay the same person, the debate doesn't end. It just moves behind closed doors. That's where the real deals happen, away from the voters who funded the campaigns. AI companies are buying influence, not outcomes. And they're spending like there's no tomorrow — because for some of them, there might not be.
Wexton will win or lose in November. But the AI money will keep flowing. The firms are playing a long game: buy access now, fight for policy later. The only question is whether the public ever gets a real say in how this technology shapes their lives.
Right now, the answer looks like no.
