#163 A Voluntary Licensing Framework for Frontier AI

In this edition of Technopolitik, Bharath Reddy analyses federal AI regulations in the US and its impact on access to frontier models and AI sovereignty.

This newsletter is curated by Anwesha Sen.

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Photo by Solen Feyissa on Unsplash

On June 2, 2026, the Trump administration signed an executive order that creates a framework for a “voluntary” frontier-AI oversight system. Within a few weeks, the government had used that ‘voluntary’ system to shape the release terms of two of the most powerful AI models.

Executive Order 14409’s Section 3 instructs the national security agencies to build a classified benchmark measuring the cyber capabilities of AI models and then to design a framework through which developers may voluntarily ask whether their unreleased model qualifies, grant the government up to thirty days of pre-release access, and help select the “trusted partners” allowed early access. These resemble the components of a licensing regime, however, Section 3(c) declares that nothing in it a “mandatory governmental licensing, preclearance, or permitting requirement.” The problem is that “voluntary,” structured this way, was never going to stay voluntary, and the developments alongside the passing of this order illustrate the point.

The framework can drift toward de facto mandatory because the incentives do the coercing. The government helps choose the “trusted partners” who get early access, turning participation into a competitive asset. The benchmark is classified, so the only way to learn whether your model is “covered” is to engage. CFR’s assessment also notes that US frontier labs will likely participate, “if only to forestall more invasive regulation later.”

The counter-case is that the framework could instead become irrelevant if nothing forces a developer to come forward, and a lab betting the government will not escalate could simply decline. But that seems unlikely seen against the backdrop of recent developments. Anthropic has been labelled a supply chain risk after raising concerns about the use of their models for mass surveillance and autonomous weapons. In mid-June, the Commerce Department directed Anthropic to bar foreign nationals from its new Fable 5 and Mythos 5 models. Unable to reliably comply, the company pulled both of them from the shelf, then saw Mythos partially reinstated for a small group of approved cyber defenders. OpenAI also released its new GPT-5.6 models only to government-approved partners. The direction of travel is toward more control, and now extends to proposals for the government to take equity stakes in the labs themselves.

Over the past two years, the theme of federal regulation in the US has been consistently about helping the US win the AI race. Now it involves an oversight framework. Governance has been reframed from protecting the public from AI to protecting and strengthening the nation through it. The security guardrails have been strengthened while repealing or inverting the ethics requirements around bias, civil rights, and transparency. Recall the executive order on preventing “woke AI” in the federal government and the rebranding of the AI Safety Institutes to focus on standards and innovation. This oversight mechanism that gates access for frontier models, further raises the conversation about AI sovereignty and adds much regulatory uncertainty on who gets access to frontier models.

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