OpenAI endorses the FRONTIER Act provision that puts licensed verifiers inside frontier labs

Both tiers ask two questions at once, and the answers do not scale together. A "very large frontier developer", in the Foundation for American Innovation's reading of the bill, is a company with more than $5 billion in revenue and at least $10 billion of development spending over three years. It has to retain a licensed independent verifier ^[12]. The tier below starts at $50 million of revenue and $1 billion of spending, and owes a published safety framework plus an auditor's certificate that the company is following it ^[13]. So the revenue gate rises a hundredfold between the tiers while the spending gate rises tenfold ^[1]. A lab spending $10 billion across three years on $4 billion of revenue sits in the lighter tier ^[4].

Ten billion dollars over three years is about $3.3 billion a year of development spending ^[2]. Startups and smaller developers fall outside the regime entirely ^[15].

The verifier makes a judgement. It decides whether the developer's published framework and its actual practices reduce catastrophic risk, and reports what it finds to Commerce every six months ^[12]. That is two filings a year, and six across the three-year spending window ^[3]. Commerce would write the standards an IVO has to meet, including technical qualifications and independence from the company it evaluates, and a new Under Secretary of Commerce for AI Security would oversee the setup ^[11].

Chris Lehane, OpenAI's chief global affairs officer, said of a Capitol Hill meeting on Monday that he "specifically talked about how we think about IVO and made clear that we can support that" ^[3]. Altman wrote on X on Saturday that he would "welcome a federal framework that sets consistent safety requirements for frontier AI" ^[6], hours after Anthropic's Dario Amodei promised third-party evaluators inside his own company ^[5]. In a September 9 blog post Lehane wrote that OpenAI wants to work with Congress on "mandatory, capability-based national AI safety regulation" ^[8]. Last week the company endorsed a California accreditation process for the same class of verification groups ^[9].

Senator Maria Cantwell, the ranking member of the Commerce Committee, has called for strong federal guardrails on how frontier models are tested and released. In a floor speech she cited recent incidents of AI agents escaping their test environments and hacking other systems ^[10].

The same bill would hand the Secretary of Commerce emergency power to suspend a model's development or deployment when it poses an imminent catastrophic risk, according to the Foundation for American Innovation's analysis ^[14]. The report of Lehane's remarks describes support for the verification requirement and does not record a position on the suspension power. In my view an audit on a six-month cycle prices as an operating cost for a company already past $5 billion of revenue, and the suspension authority is the term an equity holder actually underwrites. The counter-thesis is that the two are one instrument: a verifier's negative finding, filed twice a year with the department that can pause a deployment, is the evidence for pausing it ^[12][14].