As China prepares to unveil its 15th Five-Year Plan (2026–30), one of its biggest challenges will be managing the rapid evolution of artificial intelligence (AI). Over recent years, AI has expanded beyond large language models to solve real-world issues, from improving remote healthcare access and optimising urban management to deploying robotics for hazardous work.
China’s unique innovation ecosystem has been crucial in driving this progress. The nation produces over 77,000 STEM PhDs annually, nearly double that of the United States, ensuring a strong domestic talent base. Moreover, intense internal competition has cultivated a market where only top-performing firms thrive, fostering efficiency and innovation.
In contrast, concerns are growing in the US about overcapitalization in AI startups, while China’s agile policymaking allows swift experimentation and adaptation. This flexibility enables China to extract greater value from AI technologies and pivot quickly as challenges arise.
However, experts emphasise that technology alone cannot solve human-defined problems. Just as cybersecurity issues persist despite advanced tools, AI governance will require addressing social, ethical, and organisational dimensions.
As AI reshapes economies and societies globally, both China and the US have emerged as dominant leaders, yet much of the world risks being affected by decisions made elsewhere. Analysts stress the need for inclusive global dialogues that give developing nations a voice in shaping AI governance frameworks.
Recent efforts, such as the Bletchley AI Safety Summit (UK, 2023) and follow-up meetings in Seoul (2024) and Paris (2025), have started these conversations. At the World AI Conference in Shanghai, Chinese Premier Li Qiang proposed creating an international body for global AI coordination, a move that could ensure the “Global South” participates meaningfully in shaping technological governance.
China’s experience in supporting emerging economies and its AI Safety Network, which fosters collaboration among domestic research institutions, positions it well to lead in establishing cooperative frameworks. Encouraging academic exchanges and science diplomacy could further strengthen global trust and sustained communication in AI development.
Ultimately, experts agree that the cornerstone of the AI-driven future is good governance, frameworks that promote transparency, trust, and equitable benefits. As AI continues to shape social, political, and commercial systems, countries like China will play a pivotal role in ensuring the technology advances the human condition rather than dividing it.
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