A progressive senator and a former MAGA strategist shared a Washington stage today. That should tell you something about where AI regulation is heading.
Senator Bernie Sanders and former White House Chief Strategist Steve Bannon both spoke at the Pro-Human Assembly in Washington DC on September 15, joined by Senator Richard Blumenthal, Representative Chip Roy, and Representative Greg Casar. The event was organised by the Future of Life Institute, the nonprofit that issued 33 guiding principles for pro-human AI development in March 2026.
Their message was direct. Sanders said in his address: “Like nuclear weapons, artificial superintelligence is a threat to humanity, and it must be treated as such.” The goal was to pressure Congress to move faster on legislation that places real limits on how quickly AI systems can be developed and deployed.
The pairing — a democratic socialist from Vermont and a figure synonymous with the MAGA movement — is a symbol of just how much AI is scrambling conventional political alliances.
How We Got Here
Today’s assembly didn’t come out of nowhere. It sits at the end of a difficult two weeks for AI’s relationship with the political establishment.
On September 8, Anthropic researcher Jacob Coxon resigned in a post that drew nearly 76 million views on X overnight. His warning: “They are racing straight to self-improving superintelligence and gambling with our lives.” His departure was corroborated by Anthropic’s own Evan Hubinger, who publicly agreed that alignment for superintelligence remains unsolved and that there is more than a 10% chance of catastrophic outcomes within the decade.
On September 12, Anthropic CEO Dario Amodei published “We Must Pace the Frontier,” calling for independent evaluators to have employee-level access inside frontier labs, coordinated standards among democratic nations, and eventually coordination with authoritarian governments including China. Both Sam Altman at OpenAI and Elon Musk at xAI publicly endorsed the substance of the appeal within 48 hours.
On September 15 — today — President Trump rejected the pacing framework outright, saying “whoever wins AI, wins.” China’s Foreign Ministry called the proposal “fearmongering.” The PHLX semiconductor index fell nearly 6% on the day, its worst session since July, with Nvidia down 3.4%.
The Pro-Human Assembly was already scheduled before these events. Now it lands at the centre of an accelerating debate.
What the Future of Life Institute Is Calling For
The Pro-Human Assembly builds on the Prohuman AI Declaration, which emerged from an inaugural gathering in New Orleans earlier in 2026. The Future of Life Institute’s 33 guiding principles focus on what they call “human-centric” AI development — meaning AI systems that remain under meaningful human control, that don’t concentrate power in the hands of a small number of companies, and that are developed at a pace that gives society time to adapt.
The institute has explicitly not called for stopping AI development. Its position is closer to Amodei’s: a structured slowdown with real verification mechanisms, not a moratorium. That puts them at odds with more radical voices at the conference (including some speakers who called for an outright halt) and with the industry’s current direction.
Where Congress Stands
House Speaker Mike Johnson indicated this week that President Trump expects to hold a White House meeting with major AI platform leaders in the coming days to discuss safety and the role of government. No date has been confirmed, and there is no indication that any legislation is imminent.
The US regulatory picture remains fragmented. At the state level, nearly 100 chatbot-specific bills have been introduced across 34 states in 2026. At the federal level, there is still no comprehensive AI legislation — only sector-specific guidance from agencies like the FTC, FDA, and NIST.
Former FTC Chair Lina Khan argued this week that existing legal precedent from 1934 already gives regulators authority to pursue AI executives for releasing dangerous products, arguing “no new legislation is required.” Whether that framework would survive a legal challenge at the Supreme Court remains an open question.
What This Means for Business
US businesses that have been treating federal AI regulation as a “wait and see” problem may need to update that assumption.
The Pro-Human Assembly matters not because it will pass a law this week — it won’t. It matters because it demonstrates that AI regulation is developing genuine political momentum on both sides of the aisle. When Sanders and Bannon agree, something has crossed a threshold. That kind of cross-partisan pressure is what historically tips legislative environments from permissive to active.
Three things to watch:
1. The White House meeting with AI leaders. If Trump meets with Altman, Amodei, and others in the next two weeks, the outcome will signal whether the administration is developing any formal position. Even a statement supporting voluntary “pacing” measures would set a precedent.
2. State-level velocity. With 100 bills across 34 states, the patchwork is getting genuinely complex to manage. Businesses operating across multiple US markets may find state AI compliance becoming a real operational burden before any federal law exists.
3. Insurance and liability. Lina Khan’s point about existing legal authority is worth taking seriously. If a regulator or private litigant successfully argues that deploying an AI system that causes harm violates existing consumer protection law, the liability surface for businesses using AI expands immediately — without waiting for new legislation.
The EU AI Act’s enforcement machinery is already live. Washington’s political dynamics are shifting. The question for businesses is no longer whether AI governance will arrive, but how fast and from which direction.
Enterprise DNA helps organisations build the data and AI strategy they need to operate effectively as the regulatory landscape evolves. If you’re mapping your AI risk exposure and want a framework for thinking through it, talk to the team.
Source
NPR