US and China Avoid AI Slowdowns Amid Global Safety Concerns

Global AI Safety Alarm Amid Strategic Rivalry

As artificial intelligence (AI) capabilities advance at an unprecedented pace, industry leaders and researchers are increasingly raising alarms about the potential for catastrophic outcomes. Despite mounting pressure to implement global safeguards, the two nations most responsible for driving AI innovation—the United States and China—have shown little willingness to slow their development trajectories. This lack of cooperation comes as President Donald Trump and President Xi Jinping prepare for a high-stakes meeting in Washington, DC, where expectations for meaningful progress on AI safety are low.

"The two countries host nearly all frontier labs and most of the models people download," said Alvin Wang Graylin, a senior fellow at the Asia Society Policy Institute's Center for China Analysis. "A safety regime covering one side's models covers half the problem."

This sentiment underscores how critical US-China coordination would be in addressing AI risks. Yet with mutual mistrust and divergent priorities shaping their foreign policy, any meaningful collaboration seems far off.

Strategic Tensions Undermine Cooperation

The US government, under Trump's leadership, has taken a dismissive stance toward AI safety concerns, calling them part of a broader 'conspiracy' aimed at hindering American progress. In a recent address to the United Nations General Assembly, he explicitly opposed any 'globalist scheme' to control AI development, framing it instead as a threat to national sovereignty and economic dominance.

China, for its part, has implemented its own regulatory framework but has also rejected external pressure to moderate development speed. While Chinese officials acknowledge cybersecurity risks and the potential misuse of AI technologies, they are highly sensitive to any measures that might be interpreted as limiting access to advanced technology or markets—a concern rooted in long-standing competition with the West.

"China also increasingly recognises loss of control, misuse and cyber-risks but is much more sensitive to the possibility that 'AI safety' could become a justification for restricting Chinese access to chips, computers or markets," noted Sun Chenghao, a fellow at Tsinghua University's Center for International Security and Strategy.

That fear has created a fundamental challenge in building trust between Washington and Beijing. Even if both sides agree on basic principles, disagreements over verification mechanisms and intent make formal cooperation difficult to achieve.

Industry Voices: A Call for Caution

Within the AI sector itself, there's growing concern about the trajectory of development. Notable figures like Anthropic CEO Dario Amodei and OpenAI CEO Sam Altman have publicly advocated for a pause or significant slowdown in frontier AI research, citing the danger of recursive self-improvement—a scenario where AI systems become capable of autonomously enhancing their own capabilities without human oversight.

"We need more than safeguards," said David Krueger, an assistant professor at the University of Montreal specializing in AI safety. "We need an immediate, indefinite international moratorium on frontier AI development."

Such warnings are not isolated. Otto Barten, director of the Netherlands-based Existential Risk Observatory, emphasized the urgency: "AI must never get powerful enough for recursive self-improvement." This type of technological evolution, he warned, could result in agents beyond human control and unpredictable consequences.

Technical Obstacles to Verification

One major reason why cooperation remains elusive is the difficulty in verifying compliance. Unlike traditional industries where physical inspections or audits can be conducted, AI development involves complex software code that is nearly impossible to monitor effectively without sharing access or source material. Wang Graylin highlighted this issue:

"Verification is hard for software you cannot see," he said.

This technical limitation has led to skepticism within the US government about any agreement being enforceable. For China, similar concerns stem from a fear that cooperation could be used as a pretext for imposing restrictions on their access to key technologies.

Geopolitical Motivations Shape National Approaches

The divergence in AI risk perception between the two powers is not merely academic—it reflects deeper strategic imperatives. In the US, safety concerns are often framed around existential threats to humanity and democratic values. China, however, places greater emphasis on national security considerations related to maintaining technological parity with the West.

"Many in the US AI-safety debate focus on the possibility of highly capable AI escaping human control and posing catastrophic risks to humanity," said Henry Gao, an expert on China and trade law at Singapore Management University. "In China, national security concerns appear more geopolitical: A major perceived danger is that the US could gain a decisive AI advantage and use it against China. That creates pressure to accelerate rather than slow development."

This dynamic means that even when both nations recognize the dangers of uncontrolled AI growth, they are unwilling to compromise their competitive edge. The result is a dangerous stalemate—one where the stakes grow higher with each passing day.

Alternative Paths Forward

Despite the lack of consensus on a full-scale slowdown, some experts advocate for more nuanced approaches that emphasize transparency and ongoing dialogue. Rui Ma, founder of Tech Buzz China, suggested focusing on 'thoughtful rules of engagement,' constant monitoring, and adaptive strategies that evolve with AI capabilities:

"I think thoughtful rules of engagement, constant monitoring, open channels of communication and the ability to adjust our approach as AI acquires different capabilities are much more important," Ma said.

He also stressed that pausing development would impede the positive applications of AI, particularly in fields like healthcare, education, and climate change mitigation. Jiang Tianjiao, associate professor at Fudan University, echoed this sentiment:

"China and the US are currently the leading nations in AI development. As such, we bear the responsibility of major powers to prevent AI from spiralling out of control, and we should set a global example by cooperating to manage these risks."

Jiang's remarks suggest that while progress may be limited, there is still hope for incremental steps toward international coordination—though achieving real impact will require overcoming long-standing distrust.

Conclusion: A Race Against Time

The upcoming meeting between Trump and Xi offers a rare opportunity to initiate discussions on AI governance, but the chances of substantial breakthroughs appear slim. Both nations are deeply committed to advancing their AI capabilities at all costs, with national prestige and strategic advantage taking precedence over shared responsibility.

As we stand at the threshold of a new technological era, it becomes clear that global governance of AI cannot be left solely to market forces or private industry initiatives. The decisions made today—by leaders in Washington, Beijing, and beyond—will determine whether humanity emerges from this transition stronger or vulnerable to unforeseen dangers.

We must not let the pursuit of power blind us to the potential consequences of unchecked progress. AI's future is not just a matter of innovation; it's a defining moment for civilization itself.