What changed
China is treating artificial intelligence as a strategic technology and is pursuing domestic models built for use in manufacturing and government administration. President Xi Jinping called for technological self-reliance and application-focused development in April 2025, as the United States and China compete across semiconductors, energy, communications and manufacturing.
The scale gap is stark: major U.S. technology companies spent more than $400 billion on capital expenditure in 2025, compared with $63 billion in China. The United States also retains advantages in frontier models, advanced semiconductors, private capital, cloud infrastructure and developer ecosystems.
Why it matters
China’s route to influence may depend less on matching every American frontier model and more on putting AI to work across its own industrial and administrative systems. That makes deployment a central part of the contest, alongside chips and computing power.
The spending figures show why this is difficult. China is trying to build capability while facing a much smaller reported capital-expenditure base and clear U.S. strengths in the infrastructure surrounding advanced AI. But the outcome remains unsettled: the available reporting does not establish whether China will gain a global edge, and it offers no comparative data on model performance, exports, adoption or revenue.
The most revealing test will be whether China’s emphasis on practical deployment can turn domestic use into durable technological strength. If it can, global AI competition may be shaped not only by who builds the most powerful models, but by who embeds them most effectively in large systems.
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