UpTrajectory Review

Google, OpenAI, and Anthropic are building a private safety regulator for frontier AI models, called the Standards Authority for Frontier AI (SAFA), with a target launch window of late 2026 or early 2027. The plan, which traces back to a July proposal from Google DeepMind CEO Demis Hassabis, would require third-party testing before models ship, establish rules for reporting safety incidents, and create a framework for verifying voluntary safety pledges. The original idea was a public-private partnership with federal oversight, but that stalled after a draft White House executive order was shelved and the administration told the companies to reach industry consensus first. So the industry is now doing what Washington would not: writing its own rulebook.

For small-business operators, this matters in a very practical way. Most of you are already using AI tools from these three companies, or building products on top of their APIs. A credible third-party testing regime could mean fewer surprise model updates that break your workflows, more predictable behavior from the systems you depend on, and a clearer paper trail if something goes wrong. It could also raise compliance costs that get passed down to users in the form of higher API pricing or slower feature rollouts. Either way, the standards these companies set among themselves will shape the tools you use daily, and you had no seat at the table.

What is genuinely new here is the FINRA analogy. Hassabis is explicitly proposing a self-funded, industry-run body modeled on the organization that polices Wall Street brokers, and that comparison deserves scrutiny. FINRA works because it operates under SEC oversight, has statutory authority to enforce its rules, and can levy real fines. SAFA, as described, has none of that. It is voluntary, funded by the companies it regulates, and has no government backstop. The skepticism is warranted: the same labs that would be regulated are writing the rules, funding the enforcement, and deciding what counts as a reportable incident. That is not regulation. That is a trade association with better branding.

The second-order effects are worth watching. If SAFA sets a credible bar, it becomes the de facto standard that smaller AI companies get judged against, potentially raising the cost of entry and consolidating power among the three founding members. If it fails or gets captured by its funders, it gives Congress an excuse to stay on the sidelines even longer. Meanwhile, the public alarm inside the industry that preceded this announcement suggests the labs are feeling real pressure from their own researchers, and self-regulation may be an attempt to get ahead of mandatory rules they would like even less.

Watch two things between now and the late-2026 target. First, who gets appointed to run SAFA and whether the labs accept an outsider with real independence. Second, whether any federal agency, particularly NIST or the FTC, signals it will treat SAFA standards as a baseline for its own enforcement. For operators, the practical move is to start asking your AI vendors what third-party testing they currently undergo and whether they plan to participate in SAFA, because that answer will tell you a lot about how seriously they take the safety claims they are already making.

“Rules for themselves, written by themselves. The federal government is largely on the sidelines.” — TheStreet

Takeaway: Ask your AI vendors whether they will submit to SAFA's third-party testing, because self-regulation only works if customers demand accountability.