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AI Industry Floods 2026 Elections With Record Spending

The AI industry is spending record amounts in the 2026 midterm elections through two competing super PACs, yet their ads barely mention AI policy — focusing instead on immigration, healthcare, and electoral accountability.

March 9, 2026 · 5 min read · Source: NBC News

AI Regulation · 2026 Elections · Super PAC · OpenAI · Anthropic

Political campaign advertisement montage with AI company logos and election polling data visualizations

AI Industry Unleashes Record Election Spending Through Super PACs

The artificial intelligence industry is injecting unprecedented amounts of capital into the 2026 midterm elections through two competing political action committees, signaling a major escalation in Silicon Valley's influence over regulatory policy. The spending levels are staggering, and the strategic divide between two rival super PACs reveals fundamental disagreements within the AI industry about the future of AI regulation.

The two primary vehicles are Leading the Future (Democratic-aligned) and affiliated Republican groups backed by venture capitalists and AI company founders, operating in parallel with Public First (ostensibly bipartisan but leaning Democratic) backed directly by Anthropic and affiliated investors.

Leading the Future: $39M War Chest, Andreessen Horowitz

Leading the Future, the dominant AI industry super PAC, has banked approximately $39 million heading into the election cycle. The entity is backed by Greg Brockman, OpenAI's President and co-founder, along with significant capital from Andreessen Horowitz (a16z), one of the largest venture capital firms backing AI startups.

The PAC has established affiliated groups for both Democratic and Republican electioneering: Think Big (Democratic) and American Mission (Republican). The structure allows Leading the Future to coordinate messaging while maintaining the legal fiction of separate partisan organizations.

Public First and Anthropic's $20M+ Commitment

Public First, the second major AI industry super PAC, has raised over $20 million with explicit backing from Anthropic — an unusual move that marks the first time a major frontier AI company has openly funded a political action committee. Anthropic's commitment represents a strategic bet on influencing regulatory outcomes through electoral engagement.

Public First has also established partisan affiliate groups: Jobs and Democracy PAC (Democratic) and Defending Our Values (Republican). The bipartisan structure allows Anthropic to claim neutrality while effectively funding candidates who align with the company's regulatory preferences.

"We have a responsibility to ensure policymakers understand AI's potential and risks." — Anthropic statement on Public First backing, February 2026

Tens of Millions Spent on Attack Ads — But Not About AI

What's most remarkable about the AI industry's election spending is the complete absence of AI-focused messaging. Despite mobilizing nearly $60 million to shape electoral outcomes, neither Leading the Future nor Public First has run significant advertisements focused on AI policy, regulation, or safety standards.

Instead, the vast majority of spending has been directed toward traditional wedge issues: immigration, healthcare, abortion, and Electoral College/voting access reform. This suggests that the AI industry's primary electoral goal is not to win mandates for specific AI policies but rather to remove obstacles to AI development by opposing candidates who might support restrictive state-level AI regulation.

The most striking example is Think Big's campaign against New York Assemblyman Alex Bores, where the super PAC spent over $1.5 million on attack advertisements. Bores, a relatively junior state legislator, is one of the most active state lawmakers pushing AI regulation — having introduced bills requiring AI companies to disclose their training data sources, maintain algorithmic transparency, and implement bias auditing.

Why Target Alex Bores? AI Regulation Threat

Bores is a particularly threatening target for the AI industry because he has successfully built bipartisan consensus around modest AI guardrails in the New York Assembly. Unlike federal AI regulation, which remains bogged down in partisan disputes, state-level regulation has been moving faster and with broader support.

Bores' bills would not ban or severely restrict AI — they would simply require transparency and accountability. But the $1.5 million campaign against him signals that even modest transparency requirements are unacceptable to the AI industry's political strategists. The goal appears to be to chill state-level regulation by punishing lawmakers who push for oversight.

This strategy mirrors the tobacco and fossil fuel industries' playbooks from prior decades: spend heavily to elect compliant legislators and remove obstacles, while maintaining the public fiction that the spending is about broader issues (healthcare, jobs, economic growth) rather than the specific industry's preferences.

Bipartisan Spending: Hedging Bets on 2026 Outcomes

The AI industry's spending is carefully hedged across both parties. Both Leading the Future and Public First maintain both Democratic and Republican affiliated committees, allowing them to back winning candidates regardless of party. This bipartisan approach is pragmatic — it ensures that whatever coalition controls Congress or state legislatures, the AI industry has relationships and support embedded in the new majority.

In effect, the AI industry is buying political influence across the spectrum, betting that sustained electoral participation will shift the Overton window on AI regulation toward permissiveness regardless of which party is in power.

What This Means for AI Policy and Engineers

For software engineers and technology professionals, the AI industry's election spending reveals important truths about the regulatory environment. First, there is genuine disagreement within the AI industry about regulation — OpenAI and Anthropic are not aligned on strategy, suggesting that no unified "AI industry position" actually exists.

Second, the absence of AI-focused messaging despite massive spending suggests that regulatory capture is a real risk. The AI industry is optimizing for removing barriers to development rather than building public support for specific technical standards or safety practices.

Third, the targeting of state-level legislators like Bores demonstrates that meaningful AI regulation may ultimately require grassroots political mobilization from technologists, civil society, and affected communities — not just reliance on federal solutions that the industry is working to block.