The Ministry of Industry and Information Technology published a guideline. The code of the policy was not written in Solidity, but its logic was equally unforgiving. Seventy major compute channels. A ten percent network performance improvement. These numbers sound like progress. They are not. They are the scaffolding for a state-controlled compute grid that will systematically choke decentralized infrastructure networks. The code spoke, but the logic was a lie.
Context: The Policy Surface
The policy is officially about establishing the first systematic standards for computing power services in China. Its stated goals: build interoperable compute nodes, optimize resource allocation, and create market-based pricing. The target is AI compute—the GPUs and NPUs required to train large models. The government frames this as a solution to waste. Compute sits idle while startups beg for cycles. The answer, they claim, is standardization. Yet beneath the veneer of efficiency lies a blueprint for centralized control. The policy explicitly calls for "guidance on computing power resource allocation" and "market-oriented pricing standards." These phrases appear benign. They are anything but. In a system where the state owns the dominant compute centers and sets the rules, "market-oriented" becomes a euphemism for administrative pricing. The result is a walled garden.
Core: A Technical Deconstruction of Centralized Pricing
Let us examine the proposed pricing mechanism. The policy aims to establish a "computing power service capability evaluation standard" and a "market-based pricing standard." This sounds like a free market. It is not. In practice, the evaluation criteria will be defined by a committee—likely composed of state-backed entities and a few approved private players. The criteria will determine what constitutes "high-quality" compute. Speed, latency, uptime, energy efficiency. These metrics can be quantified. But the weighting is political. A node using domestic ASICs will score higher on "national security" metrics than a node using NVIDIA hardware. The price will then be set relative to these scores. This is not market pricing. It is a centrally planned tariff system.
I have seen this pattern before. In 2020, I analyzed Compound Finance's interest rate algorithm. The protocol used a mathematical formula to set rates based on supply and demand. It was elegant because it was trustless. The Chinese compute standard will rely on a different formula: one that includes variables like "strategic importance" and "local content." Trust is a variable you cannot hardcode. But the Chinese government will try. They will hardcode a price for compute that reflects political priorities, not economic efficiency. The result will be a two-tier market: cheap compute for approved projects (defense, AI giants, critical infrastructure) and expensive compute for everyone else. Startups without political connections will be priced out. Decentralized compute networks that rely on global liquidity will be excluded entirely.
Consider the technical requirements. The policy mandates "interconnected compute nodes." This sounds like a distributed network. It is not. It means that all approved compute centers must connect to a central backbone, likely monitored and controlled by a state operator. This is the opposite of decentralization. In a DePIN network like Akash or Filecoin, nodes connect peer-to-peer using cryptographic proofs. The network is permissionless. The Chinese standard will require permission. A smart contract cannot guarantee permissionless access if the underlying compute resources are subject to state approval. The code of the standard is not open source. It will be a document, not a protocol. And documents can be changed by a single signature.
I spent 400 hours in 2021 dissecting the Luno protocol. I found a reentrancy vulnerability in their staking mechanism. The flaw was buried in the logic: a function did not check balance updates before allowing a withdrawal. The Chinese compute standard has a similar vulnerability. It creates a single point of control—the evaluation committee—that can alter the rules at any time. This is a governance reentrancy attack. The state can call the "updateCriteria()" function whenever it wants. There is no timelock. No multisig. It is the ultimate admin key.
Contrarian: What the Bulls Got Right
The policy is not entirely wrong. Standardization can reduce fragmentation. Today, a startup must negotiate with dozens of small compute providers, each with different APIs, SLAs, and pricing models. This friction slows innovation. A unified standard could lower barriers, enabling more developers to access compute. The policy also pushes for "green compute"—aligning data centers with renewable energy. That is a positive externality. Furthermore, the creation of a liquid compute market could, in theory, benefit projects that build on top of it. A tokenized compute market on a blockchain could use the Chinese standard as a reference price, much like Chainlink uses centralized exchange data. There is an opportunity for arbitrage.
But these benefits are contingent on the standard being open, transparent, and decentralized in its governance. The current proposal shows no sign of that. The policy is issued by a government body. The details will be filled in by state-affiliated experts. There is no mechanism for community input or on-chain voting. The standard will be enforced by law, not by consensus. This is the fundamental flaw. A centralized standard is a palace built on a fault line. It will work until the government changes its priorities. And then it will collapse, taking all dependent projects with it.
Takeaway: The Real Battle
The Chinese compute standard is not just a policy. It is a declaration of war on decentralized infrastructure. It aims to create a state-sanctioned compute grid that makes decentralized alternatives irrelevant. The battle for compute sovereignty will not be fought with GPUs alone. It will be fought with standards, laws, and enforcement. Decentralized networks must adapt or be marginalized. They need to design systems that can interoperate with state grids without being captured. They need to build governance that is immune to administrative override. The code of a protocol must be more resilient than the code of a regulation. Because data does not lie, but it does not care who controls it. The question is: who will control the compute?
