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China’s Ministry of Industry and Information Technology has published a five-year blueprint that puts a number on the country’s AI ambitions. The China intelligent computing plan, set out in the 15th Five-Year Plan for the information and communications industry released on 7 September 2026, targets 9,800 exaflops of intelligent computing capacity by 2030 — roughly six times the 1,590 exaflops baseline it cites for 2025 — supported by 3.8 trillion yuan of cumulative information infrastructure investment over the period.
Sections
Reading the target honestly
These are the Chinese government’s own targets, published by the ministry that will be judged against them, and Chinese five-year plans have a mixed record of delivery. They are still worth reading, because they reveal what the state has decided to spend on and how it defines success.
Two features stand out. First, the metric is compute capacity rather than model capability — the plan commits to building the substrate, not to producing a particular system. Second, the scale of the increase is front-loaded on infrastructure: reporting on the plan pairs the 9,800 exaflops figure with the 3.8 trillion yuan investment envelope, which is on the order of $530bn at recent exchange rates.
A note on units, because the figures get quoted loosely. Intelligent computing capacity as Chinese planners define it is measured at lower numerical precision than the FP64 benchmarks used for traditional supercomputer rankings. It is not directly comparable to the top of the TOP500 list, and anyone treating the two as equivalent is comparing different things.
The constraint the plan is built around
US export controls have, since 2022, progressively restricted Chinese access to the highest-performing AI accelerators and, increasingly, to the equipment used to make them. A national compute plan drafted in 2026 therefore cannot assume access to Nvidia’s leading parts, or AMD’s, or Intel’s.
The plan is explicit about building on domestic supply. That has a practical consequence that is easy to miss: hitting a capacity target with less capable individual chips means using far more of them, which raises the bill for power, cooling, floor space and interconnect. Reporting by DigiTimes points to ambitions around very large clusters — in the range of 100,000 accelerator cards — which is consistent with that arithmetic. Energy, not silicon, becomes the binding constraint at that scale.
It also means the plan is a demand signal to China’s domestic chipmakers, foundries and equipment vendors as much as it is a compute target. Guaranteed state-backed demand is how you finance a supply chain that cannot yet compete on unit economics.
The software half of the strategy
Alongside the infrastructure plan, the ministry issued an implementation plan for an “Artificial Intelligence Plus Software” action, reported in the days that followed. Its stated aims include optimising intelligent programming toolchains, pushing enterprises toward technical transformation measured on code quality and R&D productivity, and embedding automated security testing across the software development lifecycle — with an ambition to take Chinese professional software to world markets by 2030.
The through-line is import substitution applied one layer up the stack. Compute is the expensive part, but design and development tools are the part where dependency is hardest to unwind, because it is embedded in engineers’ habits and in decades of existing designs. China’s broader innovation agenda for the 2026 to 2030 period has been outlined in similar terms by the science and technology ministry, whose plans were published on the State Council’s English portal.
What this changes outside China
For chipmakers outside China, the plan confirms what export controls already implied: the Chinese AI-accelerator market is closing as an addressable opportunity, and the competitive question shifts to third markets. For Western AI labs, a compute build-out of this scale narrows the assumption that access to frontier compute is a durable moat.
For energy markets, it is another large data-centre demand curve landing on a grid that has to be planned years in advance — the same pressure visible in Europe and North America, at a different scale and with different politics.
What to watch through 2027: whether reported capacity additions track the trajectory implied by a 2030 target, how much of the build uses domestic accelerators versus stockpiled or grey-market foreign parts, and whether power availability starts appearing as the published constraint rather than chips.
Questions
What does the China intelligent computing plan target?
9,800 exaflops of intelligent computing capacity by 2030, up from a stated 2025 baseline of 1,590 exaflops, backed by 3.8 trillion yuan of cumulative information infrastructure investment.
Who published it and when?
The Ministry of Industry and Information Technology, through its information and communications development department, published the 15th Five-Year Plan for the industry on 7 September 2026.
Is that comparable to supercomputer rankings?
No. Intelligent computing capacity is measured at lower numerical precision than the FP64 benchmarks used in traditional supercomputer lists, so the figures are not directly comparable.
Does the plan rely on Nvidia chips?
No. It is built around domestic supply, reflecting US export controls that restrict Chinese access to leading foreign AI accelerators and manufacturing equipment.
What is the AI Plus Software action?
A separate implementation plan from the same ministry covering intelligent programming toolchains, enterprise technical transformation and automated security testing, with an aim of exporting Chinese professional software by 2030.
Should these targets be treated as forecasts?
They are government objectives published by the ministry responsible for meeting them, not independent projections, and should be read with that interest in mind.
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