# Sam Altman’s evolving stance on AI licensing raises questions about competition and convenience > Source: > Published: 2026-09-16 16:04:42+00:00 # Sam Altman’s evolving stance on AI licensing raises questions about competition and convenience The OpenAI CEO once asked Congress to license AI models like nuclear facilities, but now lobbies against mandatory approvals as his company leads the market. Three years ago, Sam Altman sat in front of US senators and made a request that surprised much of Silicon Valley: please regulate us. Specifically, he proposed a government-issued licensing regime for AI models that exceed certain capability thresholds, something modeled after nuclear oversight where an authority grants and revokes approvals. Fast forward to June 2026, and Altman is singing a very different tune. He’s now actively lobbying against mandatory pre-release approvals for AI models, instead pushing for increased federal funding directed at testing and evaluation capabilities, particularly at the Department of Commerce. ## From nuclear-grade oversight to voluntary check-ins On June 2, 2026, President Donald Trump signed an executive order establishing a voluntary framework for AI model testing. The order explicitly rejected mandatory licensing, drawing a clear line against the kind of regime Altman himself had once championed. Rather than push back on the administration’s lighter touch, Altman leaned into it. His new preferred approach centers on giving federal agencies more resources to evaluate AI systems, without granting them the power to block a model’s release before it hits the market. A formal framework for voluntary restrictions on AI models is expected by August 1, 2026. The shift is jarring when you line up the two positions side by side. In 2023, Altman told senators that models above a high capability threshold should require a license to operate. In 2026, he’s arguing that mandatory federal approval before releasing models would be counterproductive. ### AI, tech, and the markets they move—in one daily briefing. Daily. Free. Join 34,000+ readers across crypto, finance, and policy. ## The competitive calculus behind the reversal Critics have a straightforward explanation for the about-face: follow the market position. When Altman testified in 2023, OpenAI was still establishing itself as a frontrunner in frontier AI. A licensing regime would have created a moat, raising the barrier to entry for every competitor trying to build large-scale models. Now that OpenAI is widely recognized as a leader in frontier AI development, the calculus looks different. Mandatory pre-release approvals could slow down the company’s ability to ship products. Observers have criticized Altman’s shift, questioning whether his 2023 testimony was genuinely motivated by safety concerns or whether it was a calculated move to constrain smaller competitors who lacked the resources to navigate a complex licensing process. ## What voluntary oversight actually means The distinction between mandatory and voluntary frameworks is not just semantic. Under a mandatory regime, a government body would need to approve an AI model before it could be released to the public. A voluntary framework, by contrast, puts the onus on companies to submit their models for evaluation if they choose to, with no enforcement mechanism that prevents a company from releasing a model it hasn’t submitted for review. Despite the voluntary nature of the current framework, there are real concerns that future AI releases may still face operational constraints, indicating a complex interplay of policy, business interest, and innovation that will shape the landscape of AI development. **Disclosure:** This article was edited by Editorial Team. For more information on how we create and review content, see our [Editorial Policy](https://cryptobriefing.com/editorial-policy/).