Charting China’s Path to General AI: Strategy, Achievements, and Future Directions

On August 10, 2026, Guangming Daily published Professor Tang Jie’s essay on the urgent need for China to pursue a distinct path toward general artificial intelligence (AGI). Citing President Xi’s April 2023 directive to prioritize AGI development and the “14th Five‑Year Plan” call to explore AGI pathways, the author frames AGI as the technical origin and frontier of AI, a strategic high‑ground for reshaping national competitiveness.

Tracing AI’s evolution from the 1956 Dartmouth conference to today’s large language models, the article notes that while narrow AI excels in specific tasks, it remains data‑driven and lacks cross‑domain generality. AGI, by contrast, aims for autonomous reasoning, long‑term planning, continual learning, and creative problem‑solving, heralding an “intelligent civilization era” where machine and human cognition co‑evolve.

The author identifies three transformative impacts of AGI: (1) deep economic restructuring through self‑iterating, low‑marginal‑cost AI that transcends traditional factor constraints; (2) smarter social governance enabled by massive, high‑dimensional data processing for climate, resource, health, and financial risk management; and (3) accelerated civilizational evolution as AI becomes a cognitive partner for scientific discovery and artistic creation, while also raising profound philosophical and ethical questions.

China’s recent AI achievements provide a solid foundation for AGI. The nation leads in AI patents, rapidly iterates domestic foundational models, advances chip‑model co‑design, and embeds AI across industries, creating a burgeoning “token economy.” An expanding talent ecosystem now produces roughly half of the world’s top AI researchers.

Building on these strengths, the essay proposes a five‑point strategic framework: (1) steadfast strategic leadership with a clear roadmap; (2) independent innovation focusing on foundational theories and core technologies; (3) systematic coordination across policy, research, and industry; (4) agile governance that balances exploration with risk mitigation, embedding safety, ethics, and standards throughout the AI lifecycle; and (5) open‑source collaboration to develop international public‑goods and foster global partnerships.

At the macro level, the author recommends strengthening top‑down policy guidance, establishing a national super‑infrastructure for multimodal data and high‑fidelity simulation, and crafting a uniquely Chinese AI governance model that aligns safety mechanisms with socialist core values.

Technically, the roadmap calls for accelerating breakthroughs in foundational model capabilities—long‑range tasks, autonomous agents, self‑optimization, and safety‑ethics—and for building unified world models and multimodal representations that can reason across physical, social, and environmental domains. It also urges the creation of a general‑AI operating system with standardized interfaces to support a new development ecosystem.

In application, the paper urges deep integration of AGI with intelligent manufacturing, smart city governance, and scientific research, proposing pilot “super‑factory” projects, city‑scale AI brains, and AI‑driven research platforms to compress innovation cycles and achieve transformative breakthroughs.

Overall, the author stresses that realizing AGI requires coordinated effort across macro‑policy, technical R&D, and sectoral deployment, guided by a vision of responsible, open, and strategically sovereign AI development.