China‑US AI Dialogue Offers Path From Competition To Cooperation

In a recent CGTN interview, Sun Chenghao, associate research fellow at Tsinghua University’s Center for International Security and Strategy, argued that the escalating artificial intelligence rivalry between Beijing and Washington carries shared systemic risks that can only be mitigated through sustained high‑level dialogue. His remarks, recorded on 2 October 2026, arrive at a moment when both capitals are intensifying investments in generative AI, autonomous systems, and data‑driven surveillance technologies. The interview underscores a broader strategic calculus: without a mechanism for mutual confidence‑building, the competition could spiral into a destabilising security dilemma, jeopardising not only bilateral relations but also the stability of global supply chains and the governance architecture of emerging technologies.

Historical Context of Sino‑American Tech Competition

The rivalry over advanced technologies traces its roots to the early 2010s, when the United States first identified “strategic emerging industries” as a domain of national security. Subsequent policy documents, such as the 2017 US National Security Strategy, framed China’s rapid ascent in AI and quantum computing as a potential challenge to US technological primacy. Beijing, for its part, has responded with the “New Generation Artificial Intelligence Development Plan” (2017) and successive State Council white papers that articulate AI as a core pillar of national rejuvenation.

Over the past decade, this competition has manifested in export controls, investment restrictions, and a series of high‑profile intellectual property disputes. The cumulative effect has been a bifurcation of research ecosystems, with parallel standards and supply chains emerging in areas ranging from semiconductor fabrication to cloud computing platforms. Sun’s interview highlights that this bifurcation is not merely an economic inconvenience; it creates systemic vulnerabilities that could be triggered by miscalculation or accidental escalation.

From a geopolitical perspective, the AI race is intertwined with broader contestation over influence in the Indo‑Pacific. The United States’ “Free and Open Indo‑Pacific” narrative positions technology as a tool for securing allies, while China’s Belt and Road Initiative increasingly incorporates digital infrastructure projects. Sun’s emphasis on shared risks therefore reflects an understanding that the technological dimension cannot be isolated from the strategic contest for regional leadership.

Shared Risks in the Absence of Dialogue

Sun Chenghao warned that both sides face “shared AI risks” that transcend the competitive calculus. Among these, the most pressing is the prospect of autonomous weapons systems operating without clear attribution, raising the spectre of inadvertent escalation. In the absence of transparent communication channels, a misinterpreted AI‑driven cyber intrusion could be mistaken for a hostile act, prompting a disproportionate response.

Another risk pertains to the erosion of data privacy and the potential for algorithmic bias to amplify social instability. Sun noted that large‑scale AI models trained on divergent data sets could produce conflicting narratives, feeding misinformation ecosystems on both sides of the Pacific. This dynamic threatens not only domestic stability but also the credibility of international institutions tasked with setting normative standards for AI ethics.

Finally, Sun highlighted the fragility of global supply chains for critical components such as advanced semiconductors and rare‑earth materials. Disruptions caused by geopolitical friction could reverberate across industries, from automotive manufacturing to renewable energy deployment. The interview suggests that without a cooperative framework, the competition may inadvertently trigger supply shortages that impair both economies.

The Role of Practical Safeguards

Turning abstract risk assessments into concrete safeguards, Sun advocated for the establishment of “practical safeguards before a serious crisis forces both sides to act under pressure.” He proposed that regular, ministerial‑level dialogues could serve as an early‑warning system, enabling the two powers to share red‑team findings and jointly develop incident‑response protocols for AI‑related incidents.

Such safeguards might include mutually agreed thresholds for the deployment of autonomous weapon platforms, akin to the historic “hot‑line” between the United States and the Soviet Union during the Cold War. By institutionalising communication pathways, both Beijing and Washington could reduce the probability of misinterpretation in high‑tempo environments where AI accelerates decision‑making cycles.

Sun also suggested the creation of a bilateral technical working group focused on algorithmic transparency. This body could exchange information on model architectures, training data provenance, and safety testing procedures, thereby building confidence that each side’s AI systems adhere to internationally recognised safety standards. While the interview did not specify the composition of such a group, the implication is that it would draw on experts from academia, industry, and government agencies.

Implications for Multilateral Governance

The bilateral focus of Sun’s recommendations does not preclude broader multilateral engagement. In fact, he implied that a robust China‑US dialogue could serve as a catalyst for inclusive global governance frameworks. By demonstrating a willingness to cooperate on risk mitigation, the two largest AI developers could persuade other nations to adopt similar safeguards, thereby preventing a fragmented regulatory landscape.

Existing multilateral fora, such as the United Nations’ Group of Governmental Experts on Lethal Autonomous Weapons Systems, could be revitalised with Chinese and American leadership. Sun’s perspective aligns with the view expressed by several think‑tanks that effective governance of AI requires the participation of both “technological superpowers” to avoid a “race to the bottom” in safety standards.

Moreover, the interview underscores the strategic importance of aligning AI governance with other domains of cooperation, such as climate change and public health. By integrating AI risk mitigation into broader diplomatic agendas, the United States and China could leverage their scientific collaborations to address cross‑cutting challenges, reinforcing the notion that technology can be a bridge rather than a barrier.

Strategic Calculus Behind the Call for Dialogue

Sun Chenghao’s call for dialogue is rooted in a realistic appraisal of national interests. For China, maintaining a stable external environment is essential to the “dual circulation” development model, which seeks to balance domestic economic resilience with selective openness to foreign markets. Unchecked AI competition could jeopardise the latter, prompting foreign firms to withdraw from Chinese markets and eroding the benefits of international collaboration.

For the United States, the strategic imperative is to safeguard the integrity of its own AI ecosystem while avoiding the costs of a protracted techno‑strategic conflict. Sun’s emphasis on “practical safeguards” reflects an understanding that the United States, like China, would incur significant economic and security costs if a technology‑driven confrontation escalated into a broader geopolitical crisis.

Both sides therefore share a convergent interest in establishing rules of the road that preserve the benefits of AI innovation while limiting the scope for destabilising applications. Sun’s interview thus frames dialogue not as a concession but as a rational instrument of statecraft, consistent with the broader diplomatic practice of risk‑reduction through confidence‑building measures.

Future Trajectories and Regional Stability

Looking ahead, the trajectory of Sino‑American AI relations will hinge on the willingness of senior officials to translate Sun Chenghao’s analytical insights into policy action. If dialogue mechanisms are institutionalised, they could contribute to a more predictable strategic environment in the Indo‑Pacific, where AI‑enabled surveillance and maritime domain awareness tools are increasingly deployed by regional actors.

Conversely, a failure to engage could exacerbate mistrust, prompting allies on both sides to adopt more aggressive postures. This would likely intensify the “technology decoupling” trend, fragmenting global supply chains and compelling third‑party nations to navigate a bifurcated market. Such a scenario would undermine the stability of critical infrastructure networks that underpin everything from global finance to energy distribution.

In sum, Sun Chenghao’s interview on CGTN provides a timely reminder that the AI competition is not an inevitable zero‑sum game. By establishing practical safeguards and sustained dialogue, China and the United States can steer the contest toward a cooperative paradigm that preserves regional stability, protects global supply chains, and upholds the normative foundations of emerging technology governance. The strategic choice now lies with policymakers in Beijing and Washington, whose decisions will shape the contours of the AI era for decades to come.

By Prof. Marcus Chen, Staff Writer

This article was produced with AI-assisted research and editorial support. Reporting is based on the source material cited below. Sources: CGTN video report (02 October 2026); CGTN; Global1.News