China’s AI Industry Map Emerges Across 31 Provinces with Gradient Development Pattern
China’s artificial intelligence industry is no longer confined to a handful of coastal tech hubs. New economic data across all 31 provinces paints a comprehensive picture of a national AI ecosystem taking shape, with a clear gradient development pattern emerging as regions specialize in distinct segments of the technology value chain. From full-chain leaders in Beijing, Shanghai, and Guangdong to specialized chip and optoelectronics hubs in Anhui and Hubei, and clean-energy-powered computing centers in the west, each region is carving out its niche in the world’s second-largest AI economy.
The scale of this expansion is underscored by the explosive growth in smart computing power. According to Xinhua News, China’s smart computing capacity reached 2,185 EFLOPS (exaflops) by the end of June 2026, a 177% year-on-year increase. The Ministry of Industry and Information Technology confirmed these figures at a State Council press conference, with China News Service reporting that over 70 computing power corridors have been built around national computing hub nodes, with network performance between hubs improving by 10%.
A Tiered National Strategy Takes Shape
The gradient development pattern reflects a deliberate national approach to AI industrialization. At the top of the pyramid sit Beijing, Shanghai, and Guangdong—the “first tier” provinces with full-chain AI capabilities spanning research, development, manufacturing, and application.
Beijing’s AI core industry reached 450 billion yuan in 2025, accounting for approximately 40% of the national total. As of July 23, the capital had completed filing for 259 large AI models and registered 195 AI products, covering general-purpose models, industry verticals, and mobile on-device systems. Shanghai has seen 169 large models pass filing, with its 394 above-scale AI enterprises generating industry revenue exceeding 637 billion yuan in 2025—a 39.5% year-on-year surge. Guangdong’s AI core industry surpassed 300 billion yuan in 2025 with over 40% growth, representing roughly one-quarter of the national total and supported by 147 AI-specialized “little giant” enterprises—the most of any province.
As Southern Metropolis Daily reports, Guangdong is transitioning from general-purpose large models to vertical, industry-specific applications, with 70% of China’s robot core component enterprises concentrated in the Pearl River Delta. The province’s approach reflects a broader national shift toward application-driven AI development.
Specialized Tracks: Chips and Optoelectronics
Beyond the first tier, provinces are leveraging their unique industrial strengths to compete in specialized AI segments. Anhui has emerged as a powerhouse in AI chips, anchored by two landmark companies. Nexchip, the province’s first 12-inch wafer foundry, listed on the Hong Kong Stock Exchange in July 2026, achieving an “A+H” dual listing. As Sina Finance detailed, its Phase 4 project—a 35.5 billion yuan investment—is expected to commence production in Q4 2026. Changxin Technology (CXMT), Hefei’s integrated memory manufacturer, listed on the STAR Market in late July with a market cap exceeding 3.6 trillion yuan, making it the highest-valued company on the A-share market. Pan-China Securities notes that CXMT’s Q1 2026 revenue reached 50.8 billion yuan with net profit of 33 billion yuan, positioning it as a formidable player in the global DRAM market.
Hubei, meanwhile, is capitalizing on its optoelectronics heritage. With Wuhan’s “China Optics Valley” at its core, the province has built a globally leading “optical-chip-screen-end-network” full industry chain ecosystem, with optical fiber and cable production accounting for one-quarter of global output. As Hubei Daily reports, the “Seven Stars of Optics Valley”—including YMTC, YOFC, and FiberHome—have seen their combined market value exceed 1 trillion yuan. YMTC, China’s only IDM manufacturer with independent 3D NAND flash R&D capability, initiated its IPO tutoring process in May 2026, signaling the arrival of another major capital market player.
Computing Infrastructure: From Railway Heart to Computing Hub
Henan Province is undergoing a dramatic transformation from a “railway heart” to a “computing hub.” In July, China’s first fully domestically-produced 100,000-card AI supercluster—the Sugon 8000 (Dengfeng)—was launched in Zhengzhou and simultaneously connected to the National Supercomputing Internet. As Science and Technology Daily and Guangming Online reported, the supercluster represents a critical milestone in AI infrastructure, marking the transition from 10,000-card to 100,000-card scale deployments with full domestic supply chain capabilities.
In the western regions, Xinjiang, Inner Mongolia, and Guizhou are leveraging their clean energy advantages to become important locations for intelligent computing centers, addressing the energy intensity of AI infrastructure while supporting the national push for green computing.
AI as a Productivity Engine
The economic impact of this national AI buildout is becoming tangible. In the first half of 2026, most provinces saw positive growth in integrated circuit production, with Guangdong growing 29.7% year-on-year and Hubei surging 140%. Industrial robot production in Guangdong, Jiangsu, and Sichuan all achieved double-digit growth, with new tracks such as embodied intelligence and human-machine collaboration booming.
“The AI wave’s driving effect on emerging industries such as integrated circuits and industrial robots in various regions is increasingly significant,” said Xiao Hongwei, director of the Policy Simulation Laboratory at the National Information Center’s Economic Forecasting Department. “AI is accelerating its transformation from a technical concept into tangible productivity growth.”
Xiao added that multiple eastern coastal provinces, leveraging their technological, talent, and industrial chain advantages, have taken the lead in building native industrial ecosystems, continuously strengthening full-chain capabilities in integrated circuit manufacturing and industrial robots.
Implications and What to Watch
The emergence of this gradient development pattern carries significant implications. By encouraging regional specialization, China appears to be avoiding wasteful duplication while maximizing each region’s comparative advantages. The massive infrastructure buildout—evidenced by the 177% growth in smart computing power and the 100,000-card supercluster—signals sustained national investment in AI capabilities. The focus on domestically-produced infrastructure reflects China’s broader push for technological self-reliance amid ongoing export controls and supply chain pressures.
The wave of hard-tech IPOs, including CXMT’s record-breaking listing and Nexchip’s dual listing, demonstrates strong capital market support for AI development. However, questions remain about valuation sustainability—CXMT’s 3.6 trillion yuan market cap has drawn scrutiny—and the risk of overcapacity as provinces race to build AI infrastructure.
As the 15th Five-Year Plan explicitly proposes coordinating computing power and electricity layout while building a nationwide intelligent computing network, the coming years will reveal whether this gradient strategy can translate China’s AI ambitions into sustainable economic transformation. The provinces that have staked their futures on AI are now betting that the technology will deliver on its promise as the defining productivity engine of the decade.