Anthropic-backed AI safety super PAC Public First spends $63 million+ in 2026 midterms, with 10 of 17 candidates winning.
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| Source: Techmeme | Original article
Anthropic-backed AI safety super PAC Public First spent over $63 million in the 2026 midterms, backing 17 congressional candidates, of whom 10 secured victories in key races.
Anthropic‑backed AI‑safety super PAC Public First disclosed that it poured more than $63 million into the 2026 midterm races, according to Bloomberg. The group, which champions stricter federal oversight of artificial‑intelligence systems, backed 17 congressional hopefuls; ten of those candidates emerged victorious in what analysts describe as a “key” set of districts.
The bulk of the spending came from Anthropic itself, which contributed roughly $20 million, while the company’s employees added about $5 million. Anthropic co‑founder and CEO Dario Amodei made a personal contribution of $1 million – his first campaign donation of the cycle – underscoring the firm’s direct stake in shaping AI policy.
The results matter because they mark the first large‑scale, industry‑driven push to embed AI‑regulation preferences into the U.S. legislative arena. By securing a majority of its endorsed candidates, Public First has positioned a cohort of lawmakers who are likely to prioritize bills on transparency, safety testing, and accountability for advanced models. The outcome also signals to other tech firms that coordinated political spending can tilt the policy landscape, potentially accelerating or stalling regulatory initiatives depending on future funding flows.
Observers will watch how the newly elected representatives translate campaign promises into legislative action. Early indicators include forthcoming committee assignments, the introduction of AI‑focused bills, and possible hearings where industry leaders, including Anthropic, may be called to testify. At the same time, rival super PACs aligned with competing AI platforms are expected to ramp up spending ahead of the 2028 elections, setting the stage for an escalating battle over the future of AI governance in Washington.
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