Punching above their weight: how China’s AI giants stretch each dollar in compute race

The report by Moody’s Ratings highlights a significant disparity in artificial intelligence (AI) spending between US and Chinese tech giants. While US hyperscalers lead in capital expenditure, Chinese firms achieve greater computing power per dollar due to lower domestic costs and heavy state support. Factors such as lower buildout costs, targeted policy incentives, and access to cheaper green energy allow Chinese tech firms to punch above their financial weight, narrowing the compute gap.

The US maintains a lead in cutting-edge semiconductor chips, but the capital expenditure figures only represent part of the story. China's cost advantage stems from lower land, power, and state backing. Beijing’s “East Data, West Computing” initiative routes power-intensive workloads to inland regions with abundant green energy and cooler climates.

Government policies provide cheaper infrastructure, subsidies, fast-tracked approvals, and tax incentives. However, China faces limitations in accessing leading-edge Nvidia chips, and domestic processors and software ecosystems still lag behind NVIDIA's offerings. Despite this, China's data center capacity is projected to grow faster than the US, narrowing the relative compute gap over time.

Leading Chinese AI models now compete with top global rivals on benchmark platforms, and Alibaba’s cloud revenue growth indicates that China is beginning to monetize its AI gains.