China’s new five-year plan is all about AI and quantum

China just made artificial intelligence and quantum computing part of its national economic operating system.

Beijing is committing years of funding, research, and industrial policy to win the global technology race with the United States.

Officials rolled out the plan as the National People’s Congress opened in Beijing.

Artificial intelligence shows up throughout the document as a key engine for future industry. Beijing is launching what it calls an “AI+ action plan” to push AI tools across the entire economy.

Factories will use AI to optimize production. Hospitals will use it to analyze medical data. Logistics networks will run on AI-driven planning systems. Robotics will become more autonomous.

China also wants large fleets of AI agents that can analyze data, make decisions, and complete complex tasks with limited human oversight. In fact, Chinese tech giants are already racing to build AI agents into super apps, giving a clearer picture of how these systems may spread through daily life and business operations.

Quantum computing sits right beside AI on the priority list.

The government wants scalable quantum computers. New research facilities. And, get this, a space-to-earth quantum communication network designed to secure data transmissions.

If it works as planned, that network could make many traditional hacking methods far less effective.

All of this requires enormous computing power.

China plans to build massive AI computing clusters backed by huge electricity supplies. Think of them as giant data centers designed specifically to train advanced AI models.

Domestic technology firms are already racing to build those systems as China works to reduce its dependence on foreign technology. At the same time, China has signaled approval for Alibaba and other top tech firms to order NVIDIA H200 chips, suggesting Beijing is willing to support near-term infrastructure expansion while domestic alternatives continue to develop.

And the plan goes beyond AI and quantum computing.

Beijing also wants faster progress in basic science and quicker commercialization of new discoveries. Universities and research labs are being pushed to turn breakthroughs into products much faster.

Frontier technologies like humanoid robots, 6G communications, and brain-machine interfaces are also part of the national roadmap.

The disruption behind the news: China's deep pockets will make Made-in-China tech much more competitive

When a government with China’s scale decides AI infrastructure is strategic, deployment can move faster than markets alone usually allow.

Training cutting-edge AI models now requires massive resources. One large model can use tens of thousands of GPUs and hundreds of megawatts of electricity. Private companies often struggle to build that infrastructure quickly because it costs billions of dollars.

But the Chinese government can.

State planning means entire AI clusters can appear next to power plants, industrial zones, and government research labs. Costs fall when infrastructure, energy, and financing move together under national policy.

A less obvious advantage is power pricing. Training a frontier AI model can consume tens of gigawatt-hours of electricity. If a 100,000-GPU cluster draws roughly 150 megawatts and runs nearly nonstop, it could use about 1.3 terawatt-hours per year. At $0.08 per kWh, a common industrial electricity price in the U.S., that’s roughly $100 million in power costs alone.

If state-backed clusters in China secure electricity closer to $0.03 to $0.04 per kWh by locating near subsidized coal plants, hydropower, or surplus renewable generation, the annual operating cost drops by tens of millions. Cheap electricity becomes a strategic input for building AI capability.

The same pattern applies to quantum technology.

Quantum computing is still experimental, but the race is about building capability over time. The country that builds the most hardware, trains the most physicists, and deploys the most networks first will control early applications.

China is treating AI and quantum like railroads or electricity in the 20th century. Build national infrastructure first. Capture commercial dominance later.

For global tech companies, this creates pressure on two fronts. Chinese firms gain massive domestic infrastructure support. At the same time, foreign companies face export controls and semiconductor limits. That combination speeds up the growth of local technology ecosystems.

What to watch next

The next phase of the AI race will be measured in power plants and data centers.

Watch how much computing capacity China actually deploys.

Watch how quickly Chinese AI companies close performance gaps with leading models.

Here are three signals worth watching over the next two years.

First is compute scale. If China starts building AI clusters with close to 100,000 high-end GPUs each, model development could speed up fast.

Second is AI agents moving into industry. If factories, logistics networks, and hospitals begin running autonomous AI systems at scale, productivity gains could stack up quickly.

Third is quantum communication networks. Even small deployments would give China an early lead in secure communications infrastructure.

One thing is certain. US is no longer the only leading-edge tech player in town

P.S: Learn why AI and quantum are one of the seven technologies that will change the world here.