China's $295 Billion Data Centre Bet: Speed, Energy, and the Risk of Overbuilding

The 'Eastern Data, Western Computing' Strategy

Launched in 2022 and reaffirmed in the 15th Five-Year Plan (March 2026), the "Eastern Data, Western Computing" (EDWC) policy is the strategic backbone . It directs compute-intensive data centres to western China, where land, renewable energy, and cooling are cheaper. Eight national computing hubs and 10 data centre clusters have been established . The idea is to balance regional development, cut energy costs in the east, and absorb surplus renewables in the west .

But the reality is messier. Despite the policy, AI chip deployment remains concentrated in wealthy eastern provinces like Beijing, Shanghai, and Guangdong. Some analysts have called EDWC "fake" in practice, because most of the high-value computing power never makes it west .

Regional Competition and Overbuilding

Provincial governments have competed fiercely for data centre projects, offering subsidies and fast approvals. The result: speculative overbuilding . By mid-2025, over 100 planned projects were withdrawn due to grid instability and oversupply . China is now creating a national marketplace to sell surplus computing power—an explicit acknowledgment of the glut . Utilisation rates in many facilities sit around 20–30% .

The Energy Advantage: The 'Electron Gap'

Where China truly shines is energy. The country builds power infrastructure much faster than the US, and has excess renewable capacity (solar, wind, hydro) in its western regions . This cost advantage is sometimes called the "electron gap" . In the US, Wood Mackenzie reported a 50% decline in new data centre projects at the end of 2025 because of grid constraints . China, by contrast, can build a data centre in weeks or months, versus around three years in the US .

However, China’s power system has its own institutional bottlenecks: rigid pricing, grid inefficiencies, and inconsistent peak loads that make data centres less compatible with green energy suppliers . Cheap power alone has not created a unified, operable computing network .

Chip Constraints and Localised AI Infrastructure

US export controls on advanced AI semiconductors like Nvidia’s H100 and H200 have forced China to accelerate domestic chip development . China’s data centre market now includes roughly ¥100 billion in domestic AI chips, with companies like Alibaba designing their own processors . Yet performance gaps remain: Chinese chips lag behind cutting-edge US equivalents, and compatibility issues complicate the national computing network .

China vs. the US: A Snapshot

Main Concerns and Risks

• Overcapacity and wasted investment: Local government competition has created a glut, with many facilities underused and over 100 projects cancelled .
• Grid and energy integration challenges: Connecting data centres with renewable energy faces technical hurdles—inconsistent peak loads and forecasting difficulties .
• Regional imbalance: EDWC has not truly shifted compute west; most AI power remains in wealthy eastern provinces .
• Chip dependency: US export controls limit access to the most advanced GPUs, capping raw performance .
• Environmental cost: Rapid expansion increases power demand and carbon footprint, though China is experimenting with using data centres to absorb renewables oversupply .

Bottom Line

China’s data centre expansion is enormous in scale and speed, driven by central planning and a real energy-cost edge. The US still leads in facility count, total AI capex, and chip access. But China’s structural advantages—faster construction, cheaper power, and a unified national strategy—are narrowing the gap. The biggest risks are on the downside: overbuilding, regional policy misalignment, chip bottlenecks, and grid integration problems that could turn the world’s largest planned AI infrastructure buildout into a costly case of speculative excess.