AI

China's 5 Mao Electricity Price: Key to AI Data Center Competition

China's electricity price of 5 mao (about 10 yen per kWh) is positioned as a strategic resource in international competition for the AI/data center industry.

4 min read Reviewed & edited by the SINGULISM Editorial Team

China's 5 Mao Electricity Price: Key to AI Data Center Competition
Photo by Lightsaber Collection on Unsplash

According to an analysis by A-Test Zhengjing Bibi of Huxiu, China’s electricity unit price of around 5 mao per kWh (0.5 yuan, approximately 10 yen) has become an extremely important factor in the future international competition of the AI and data center industry.

The article questions the total amount of electricity consumed in China in 2025, framing cheap electricity supply as a structural issue that determines the international competitiveness of technological infrastructure. It points out that the electricity unit price of 5 mao per kWh is not merely a cost-of-living issue, but lies at the core of a decade-scale strategic resource competition in anticipation of a surge in AI computing demand.

The Structure of Electricity Costs as a

Strategic Resource

Training and inference of large language models consume enormous amounts of electricity. Operating GPU clusters requires large amounts of power continuously, and electricity costs occupy a large share of overall data center operating expenses. China’s low electricity unit price compared with major countries provides a significant advantage in the siting of AI computing infrastructure.

China’s electricity pricing system applies different schemes for industrial and residential use. Large-scale power supply suited to AI data centers may be provided on relatively favorable terms because of their positioning as a strategic emerging industry. There have also been confirmed cases in which local governments present electricity costs as preferential conditions when attracting data centers, making electricity prices a tool of inter-regional competition.

A Decade-Scale Arms Race

The article characterizes the advantage in electricity costs as “an arms race for the next decade.” This is a view suggesting that the AI development competition is long-term and structural.

The number of parameters in AI models rises year by year, and the computation required for training expands exponentially. Data center electricity consumption continues to increase along a similar trend, and whether a cheap and stable electricity supply can be secured could be a factor that decides the outcome of the AI development competition.

Data center siting in the United States faces challenges in securing renewable energy and grid capacity. Whether China can maintain the stability of its power supply and cost advantage is one of the issues that could determine the course of global AI competition.

Local Governments’

Competition to Attract Data Centers

In China, multiple local governments are actively working to attract the data center industry. In addition to electricity costs, land costs, tax incentives, and network infrastructure readiness are evaluated comprehensively. Regions with lower electricity unit prices are more competitive in attracting large-scale computing facilities.

Regions such as Guizhou Province and the Inner Mongolia Autonomous Region have expanded the siting of large-scale data centers, leveraging their cool climates and abundant power resources. Low electricity costs have become a major investment incentive for these regions.

Editorial Opinion

In the short term, competition over electricity costs will manifest as inter-regional competition within China. Attracting data centers with cheap electricity as a weapon could determine the clustering patterns of the AI industry. Regional differences in electricity unit prices affect the geographic distribution of computing resources and also extend to the price competitiveness of cloud services.

In the long term, whether the electricity cost advantage is sustainable will be called into question. The rapid increase in AI computing demand will add to the burden on power supply systems and may invite stricter regulations from the perspective of energy security and a reconsideration of electricity prices. The speed of the transition to renewable energy is also a factor that will determine future movements in electricity costs.

Beyond electricity costs, other factors—specifically the stability of the semiconductor supply chain, securing human resources, and the system of intellectual property protection—are also issues that cannot be ignored in the international competition of the AI industry. A low electricity unit price alone does not guarantee a competitive advantage; building a comprehensive ecosystem is indispensable.

References

Source: 虎嗅网

Comments

← Back to Home