There is no point of AI dominance where a nation becomes immune to safety risks. For both the U.S. and China, every advance in model capability inherently increases national vulnerability to misuse, accidents, or attacks, linking the two concepts inextricably.

The proposed data center moratorium, while intended to address safety, would create a strategic advantage for China and other nations if enacted unilaterally. An American slowdown without global agreement allows adversaries to catch up or surpass the US in AI, highlighting the prisoner's dilemma inherent in global AI regulation.

The idea of nations collectively creating policies to slow AI development for safety is naive. Game theory dictates that the immense competitive advantage of achieving AGI first will drive nations and companies to race ahead, making any global regulatory agreement effectively unenforceable.

A global AI safety regime should learn from nuclear arms control by focusing on the physical infrastructure that enables strategic capabilities. Instead of just seeking promises, it should aim to control access to chokepoints like advanced chip manufacturing and the massive data centers required for frontier models.

Powerful AI models pose a systemic risk to the global economy. To manage this, the world needs a technocratic body like the Financial Stability Board to identify and respond to AI threats independently from geopolitics.

The Trump administration's consideration of an FDA-like review process for new AI models signals a trend towards "soft nationalization." This involves government agencies partnering with and overseeing top AI labs to mitigate catastrophic risks and maintain a national security advantage.

Beyond simple security concerns, the US government is poised to use its control over frontier AI model deployment to pursue broader strategic interests. Access could be withheld from allies to gain leverage in unrelated negotiations, such as trade deals, turning AI into a tool of foreign policy.

The current US strategy is contradictory. While taking extreme measures to block allies like Canada from accessing advanced US AI models, the administration's inaction has left open loopholes that allow Chinese firms to freely acquire the very chips needed to build competing models. This highlights a critical disconnect.

Governments face a difficult choice with AI regulation. Those that impose strict safety measures risk falling behind nations with a laissez-faire approach. This creates a global race condition where the fear of being outcompeted may discourage necessary safeguards, even when the risks are known.