The race to advance AI continues apace despite safety concerns and high-profile breaches, driven by strategic U.S.-China competition and incentives for rapid progress.

In the United States and China, AI development is accelerating as self-improving models take a larger role, raising concerns about the risks of highly capable systems.

The piece critiques inequality, governance gaps, and the danger of technocratic distance between leaders and global publics.

A paradox persists: powerful tech leaders recognize risks and urge regulation, yet political leaders, including key figures, resist or hedge on policy action.

Industry leaders emphasize the need for safeguards, though political support remains mixed due to competing interests.

Historical lessons show technology can lift some people while harming others and the environment, underscoring the need for climate-aware, sustainable growth.

Policy trajectories are mixed, with some arguing that expansion under Trump-era approaches could undermine broader existential risk mitigation.

Some analysts warn that slowing development could widen the technology gap in favor of those with cutting-edge hardware access.

Safeguarding capabilities and governance will shape strategic advantages, including unique institutional designs and auditable shutdown procedures that are hard for others to copy.

Historical parallels to nuclear proliferation suggest states will act first to gain advantage, making enforceable slowdown norms difficult without verification tools.

China’s state-backed funding model, including subsidies for computing power and model usage, accelerates its AI offerings and narrows the gap with the U.S.

The debate centers on alignment and safety guardrails, with proposals for independent evaluators to access model capabilities for responsible progress.