AI news story

Trump administration drafts AI contract rules requiring companies to license systems for "all lawful use"

New US guidelines for AI contracts would force companies to grant the government an irrevocable license for "all lawful use" a…

  • AI
  • Source: The Decoder
  • Published: 2026-03-07

Editor's take

The Trump administration has drafted proposed regulations mandating that companies grant the U.S. government an irrevocable license for "all lawful use" of their AI systems, alongside a ban on ideological bias in AI outputs. This move directly impacts AI developers and their commercial agreements, potentially reshaping how intellectual property is shared and controlled within the sector. The broad "all lawful use" clause could significantly diminish proprietary control for companies, while the ideological bias prohibition introduces a complex layer of content moderation with inherent contradictions.

This directive is significant because it represents a substantial government intervention in AI development and deployment, aiming to ensure broad access and control over AI capabilities. The requirement for "all lawful use" licenses is a departure from typical commercial licensing models and could have far-reaching implications for innovation and competitive advantage, particularly for entities whose AI is deemed critical for national security or public services. The ban on ideological bias, ironically framed as an ideological requirement, echoes concerns about government overreach and censorship, drawing parallels to authoritarian approaches to AI governance.

Future developments will likely focus on the definition and enforcement of "all lawful use" and "ideological bias." Clarity on what constitutes lawful use and how bias will be identified and mitigated will be crucial. The industry will be watching to see if this proposal becomes law, and if so, how it impacts investment, research directions, and the ability of companies to differentiate their AI offerings. The potential for legal challenges and the practicality of implementing such broad licensing terms remain key questions.