The proposed regulatory framework seeks to balance national security with industry innovation by creating an independent, self-funded body to standardize model safety.

The Trump administration is currently evaluating a proposal to establish an independent regulatory agency tasked with overseeing the safety of advanced artificial intelligence systems. This initiative, which aims to mirror the structure of the Financial Industry Regulatory Authority (FINRA), would operate under the purview of the Securities and Exchange Commission to provide a more predictable oversight environment for developers.

Treasury Secretary Scott Bessent played a primary role in drafting the proposal, which is now undergoing review by White House Chief of Staff Susie Wiles. The move arrives as Silicon Valley leaders express mounting frustration regarding the ad-hoc nature of recent government interventions that have impacted the deployment of sophisticated AI models. Companies such as Anthropic PBC and OpenAI have previously faced significant operational hurdles, including forced model disabling and mandatory pre-launch modifications, which industry executives characterize as excessive relative to identified risks.

The proposed framework seeks to reconcile the competing demands of Wall Street financial institutions, which prioritize cybersecurity and risk mitigation, and technology firms seeking a stable regulatory landscape. By incorporating industry participation into the standard-setting process, the administration hopes to move away from reactive, inconsistent measures. Officials have accelerated these discussions following the recent launch of the Kimi K3 model by Chinese startup Moonshot, an event that triggered volatility in shares of US-based technology firms and intensified concerns regarding global competitiveness.

David Sacks, a venture capitalist and former White House AI advisor, recently noted that the emergence of competitive international models highlights the risks of the United States becoming overly entangled in its own regulatory complications. The administration’s current deliberations appear to align with broader industry-led proposals, including those recently articulated by Google DeepMind CEO Demis Hassabis. His model suggests that an industry-funded, independent body of technical experts could work alongside national laboratories to develop rigorous testing protocols for cybersecurity and biological threats.

This approach mirrors the structure of FINRA, which functions as an independent, industry-funded regulator for brokerage firms while maintaining authority derived from the Securities and Exchange Commission. Proponents argue that such a model would allow for the necessary technical expertise to evaluate complex AI systems without the bureaucratic delays associated with direct government oversight. Microsoft CEO Satya Nadella, OpenAI CEO Sam Altman, and SpaceX CEO Elon Musk have all expressed support for the concept of an independent, expert-led standards body.

The administration remains focused on cementing American leadership in the sector while addressing the systemic cybersecurity risks posed by powerful, dual-use AI architectures. White House officials have indicated that multiple proposals are under consideration to bolster national security without stifling the breakneck pace of innovation required to compete with international rivals. While the plan has not yet been formally reviewed by President Donald Trump, the urgency of the matter suggests a potential shift toward a more structured, collaborative governance model.

The significance of this proposal lies in the attempt to institutionalize AI safety within a framework that understands the economic realities of the sector. By shifting the burden of testing to an industry-funded entity, the government aims to create a sustainable mechanism for oversight that does not rely on arbitrary export controls or last-minute interventions. This transition reflects a growing consensus among policymakers that the current, fragmented approach to AI governance is insufficient to manage the rapid evolution of large-scale models.

Stakeholders now await further clarity on how such an agency would be funded and the extent of its enforcement authority over private labs. The success of this initiative will depend on whether the administration can successfully balance the need for rigorous safety standards with the industry’s requirement for operational certainty. As the competition for global AI dominance intensifies, the establishment of a clear, predictable regulatory pathway remains a critical milestone for both domestic security and long-term economic growth.

Market participants are closely monitoring upcoming meetings between industry leaders and Washington policymakers to gauge the likelihood of the proposal’s adoption. The potential for a new, specialized regulatory body represents a major shift in how the federal government manages the intersection of national security and the digital economy.

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