The world’s biggest AI labs are talking about doing the thing they’ve talked about for years: setting rules for themselves, together. According to The Information’s reporting published September 24, 2026, Google, OpenAI, and Anthropic are in discussions to create a joint body tentatively called the Standards Authority for Frontier AI (or SAFA), an industry-led organization that would set and enforce safety standards for the most powerful AI systems.

If it happens, it would be the most significant self-governance experiment in the history of the tech industry. And it would arrive at a moment when government-led AI regulation has mostly stalled.

What it would actually do

This wouldn’t be a talking shop, at least on paper. The functions under discussion:

• Pre-deployment testing standards. Common requirements for evaluating frontier models before release, so “we tested it thoroughly” means the same thing at every lab.
• Incident reporting. A shared framework for disclosing when AI systems malfunction or cause harm, something like how aviation or cybersecurity incidents get reported.
• Auditor qualifications. Standards for who gets to audit AI systems and what counts as a rigorous audit, in a market that today ranges from serious to theatrical.

An OpenAI spokesperson has confirmed active talks with Google and Anthropic about coordinated safety frameworks. Whether SAFA should also run testing itself. The U.S. Center for AI Standards and Innovation (CAISI), which handles that job today, is widely seen as under-resourced for frontier systems. That’s still undecided.

These are precisely the gaps critics of AI self-regulation have pointed at for years. Voluntary commitments from individual labs are hard to compare, harder to verify, and easy to quietly abandon. A shared body with real definitions could change that, but only if the labs give it teeth.

The FINRA idea

The most intriguing detail is the institutional model. The body would reportedly be modeled on FINRA, Wall Street’s self-regulatory organization, an idea that traces to a proposal published July 14, 2026 by Sir Demis Hassabis, the head of Google DeepMind.

FINRA is not a government agency. It’s a private, industry-funded body with genuine enforcement power over broker-dealers, including the ability to fine firms and bar individuals. It works because participation is effectively mandatory for doing business in US securities markets, and because its rules have real consequences.

Translating that to AI raises obvious problems. FINRA’s authority ultimately rests on a statutory foundation: Congress built the framework that gives it power, and the SEC oversees it. An AI standards body with no government backstop would rely entirely on voluntary participation and reputational pressure. A draft White House executive order that would have brought federal supervision reportedly stalled, after the administration told the labs to find industry consensus first. Would OpenAI or Anthropic actually submit to binding judgments from a body their competitors co-founded? The history of tech self-regulation (social media moderation, privacy) says skepticism is the sane default.

Why the timing isn’t accidental

Federal AI safety efforts in the United States have stalled, leaving the most powerful technology of the century governed largely by the voluntary commitments of the companies building it. The labs seem to have concluded that waiting for legislation is no longer a strategy, and that shaping the rules themselves beats having rules imposed on them later. A credible industry standards body could also preempt heavier-handed government regulation, and regulators in the EU and elsewhere will be watching to see whether the body has substance or is mostly a shield against legislation.

Then there’s the pace of it all. Anthropic just shipped two frontier models in a single week. Anthropic’s new Sonnet 5.5 landed six days after Opus 5.5. And on September 23, OpenAI’s Sam Altman and Anthropic’s Dario Amodei addressed the United Nations Security Council to say the industry needs stronger oversight. When the labs are shipping this fast and appealing to the UN, “wait for the government” stops being a plan anyone believes.

The guest list

The CEO shortlist reportedly includes Sriram Krishnan, the former venture capitalist who served as senior White House AI policy adviser in the Trump administration, and Arati Prabhakar, the former director of the White House Office of Science and Technology Policy. Condoleezza Rice and venture capitalist David Friedberg have reportedly been approached for senior leadership roles.

Notice who these people are. Not AI researchers. People who understand Washington, institutions, and power. Krishnan and Prabhakar bring deep policy credibility; Rice brings geopolitical weight. The message is clear: this body wants to operate at the level of governments, not as a technical working group.

A launch is reportedly possible in late 2026 or early 2027. That’s an aggressive timeline that suggests the conversations are further along than a trial balloon. SAFA would succeed the Frontier Model Forum the same companies created in 2023.

Why it might work. Why it might not.

Start with the strong version. The three labs driving this represent the overwhelming majority of frontier AI capability. If they genuinely align on testing standards and incident reporting, that becomes the de facto global standard whatever anyone else does.

Now the weak version. Self-regulation serves the interests of the regulated. Standards written by the three biggest labs could easily become a moat: compliance costs that incumbents absorb without blinking but that crush open-source projects and smaller competitors. And without government enforcement, the ultimate sanction for violating the standards is disapproval. The history of tech self-regulation is littered with impressive-sounding bodies that produced impressive-sounding reports and changed very little.

There’s also a structural question nobody can dodge: who watches the standards body? If it’s funded by the labs, governed with lab input, and enforcing standards the labs wrote, its independence is inherently limited.

Nvidia’s Jensen Huang and Meta’s Mark Zuckerberg have publicly opposed the approach. And the research world is bigger than three labs. Serious, peer-reviewed advances are coming from unexpected places now: DOCOMO’s cold-start breakthrough is a telecom, not a frontier lab. Standards written only with the giants in the room will miss that.

Who else should pay attention

Startups and open-source developers: watch the auditor-qualification and testing standards closely. If these become industry norms, or get referenced in future regulation or procurement requirements, compliance costs could decide who can afford to build frontier-scale models. Don’t wait to be regulated by people you never met.

Enterprise buyers: a credible body would eventually let you compare vendors’ safety claims apples to apples. Start asking your vendors now how they test models pre-deployment and handle incident disclosure.

Policymakers: if governments want a seat at the table, the window is now, before the institution’s norms harden. Dismissing it as pure theater would be a mistake.

The Bottom Line

A joint Standards Authority for Frontier AI could be the moment the AI industry grew up institutionally, or an elaborate exercise in regulatory preemption. Which one it becomes depends on enforcement powers, funding independence, transparency, and whether anyone beyond the big three gets a real voice.