AI is no longer just about smart systems, but more about how & who can afford to run these computing powers for the long run.
The classic examples of this are two big companies, including Uber, which reportedly lost its entire $3.4 billion 2026 AI budget in just four months. Another case is Microsoft, a tech giant that has recently cancelled Claude Code licenses for thousands of engineers due to skyrocketing computing costs.
But the world’s appetite for AI is driving China towards an advanced AI-driven high-tech export economy, from being a cheap manufacturing economy. Moreover, China isn’t afraid of a strong Yuan.
The reason for this upper hand is China’s cheap energy resources, without which the AI models and semiconductors can’t survive.
As per the International Energy Agency (IEA), a typical data center eats electricity equal to 100,000 households, while in the future, it can go up to two million. In this situation, China is in an ideal position to meet such colossal energy supplies.
Under the ‘East Data, West Computing’ initiative, the Chinese government is planning on constructing new data centers in areas with ample land and renewable energy sources compared to the heavily built-up eastern seaboard.
China’s plan for the upcoming years
By 2030, China’s data center capacity is expected to reach 60 gigawatts, almost double the current level. Also by the same year, the country will have about 400 gigawatts of spare capacity, about three times the world’s expected data-center power demand at that time, predicted by Goldman Sachs.
Moreover, according to BloombergNEF, the country is in the process of adding 6x more electricity generation capacity than the US over the next five years.
China has also claimed to build a ‘national cloud,’ a system connecting more than hundreds of data centers in a nationwide computing pool by 2028.
China’s spree towards making the most powerful electrical grids dates back to 70s. When communist leaders worried that power shortages would hinder the nation’s growth. They built state-owned coal-energy plants. Later worked upon hydroelectrics projects, solar, and wind energies.
Though power grids in China are highly fragmented, this affects the seamless flow of electricity between regions. The central government is working towards better connectivity.
China is undoubtedly in a favourable position in terms of power supply to ace the AI race against the US and the world. But there are other challenges as well, such as quality issues & need for top-end AI chips.
Read Next: Meta Layoffs: Firing 8000 Employees & Hiring a “Beach Water Person?”
