Here is the reality. On May 2025, the National Development and Reform Commission published the AI Cooperation Development Action Plan. The document spans 12 pages. It is written in bureaucratic language. But beneath the surface, it lays out a system that mirrors the core promises of blockchain: open data flows, shared compute resources, global open source collaboration, and transparent governance. The difference? It is state-funded, state-owned, and designed to serve China's geopolitical strategy. For Web3 builders, this is not noise. It is the signal we need to audit.
Auditing isn't about finding intent. It is about mapping the structural implications.
Context: The Four Pillars of a Parallel Infrastructure
The plan does not mention Bitcoin, Ethereum, or any crypto network. It does not need to. Its four strategic pillars—data circulation, compute ubiquity, open source communities, and green efficiency—are the same building blocks of decentralization. The difference is the controlling party.
- Data Circulation: The plan calls for "trusted cross-border data spaces" and "high-quality multilingual corpora." This is a state-defined framework for data sovereignty. It creates a walled garden where data can flow only under Chinese rules. Compare this to the blockchain ethos of permissionless data exchange.
- Compute Ubiquity: The goal is "interconnection of intelligent compute facilities" and "affordable compute services for developing countries." This is a national compute grid, subsidized by the state. In crypto, we call that a decentralized compute network—but without the token incentive.
- Open Source: The plan explicitly endorses "co-building international open-source AI communities" and "sharing base models, algorithms, and toolkits." This is a direct challenge to the Western dominance of GitHub and HuggingFace.
- Green: The plan mandates low-carbon data centers. This aligns with the energy narrative of Proof-of-Stake networks and localized mining operations.
These pillars form a foundation for what I call a "State-Backed Decentralization (SBD) model." It is not permissionless. It is permissioned. But it is designed to scale like a public blockchain—without the currency.
Core Analysis: Where the Code Meets the Chain
The Ledger doesn't lie. But the ledger's rules can be rewritten by the entity that controls the validator set.
I have spent the last 18 months building Verifiable Truth, a community focused on zero-knowledge proofs for AI data provenance. That experience gave me a front-row seat to the technical overlap between China’s plan and crypto infrastructure. Let me break down the three most critical intersections.
1. Data Provenance and Trusted Execution
The plan’s "trusted cross-border data spaces" require a mechanism to prove that data has not been tampered with during transfer. That is a perfect use case for zero-knowledge proofs (ZKPs) or trusted execution environments (TEEs). In Web3, projects like zkSync, Scroll, and ARPA have already built the primitives. The plan does not prescribe a technology stack, but the problem is the same. If you control the proving layer, you control the data economy.
Based on my audit experience in 2017, I know that state actors rarely adopt open protocols without adding their own keys. The plan’s data space will likely rely on a permissioned chain or a sidechain operated by a consortium of state-owned enterprises. This is not decentralization. It is multi-party computation with a government backdoor.
2. Compute Grid vs. Decentralized Compute Networks
The interconnection of compute facilities creates a virtual supercomputer. In crypto, we have Golem, Akash, and Render Network attempting to do exactly this—but with token incentives. China’s plan avoids tokens. It uses central planning and state procurement.
What does this mean for crypto? If the Chinese compute grid becomes cheap and reliable for inference tasks, it will drain demand from decentralized compute networks. However, for sensitive training tasks (e.g., large language models on proprietary data), the state grid may not be suitable due to censorship risks. That is where decentralized compute still holds an edge: trustlessness.
3. The Open Source Trap
The plan promotes open source, but with a twist: "co-develop open-source compliance systems." This implies that all open-source models distributed under this framework must pass a compliance audit—presumably aligned with Chinese content laws. Code is the only law that doesn't need interpretation. But code can be forked. Regulation cannot.
A global open-source community built on top of Chinese compliance requirements will repel Western developers. It will create a fractured ecosystem: one fork for the West, one for the Belt and Road. This is an existential threat to the idea of a unified, censorship-resistant AI model. But it also creates an opportunity for a truly permissionless model that cannot be captured by any state.
Contrarian Angle: The Pragmatism Test
Most crypto Twitter will dismiss this plan as centralized central planning. That is the easy take. The contrarian view: state-backed decentralization may be faster and more scalable than token-incentivized networks for specific use cases.
Consider the adoption curve. A state can mandate that all hospitals in a province use a shared, privacy-preserving AI diagnostic tool built on a compliance chain. That deploys in months. A decentralized alternative would require bootstrapping a token economy, incentivizing nodes, and negotiating data-sharing agreements among dozens of unaffiliated parties. For mission-critical applications like healthcare or banking, the state model may win on latency and accountability.
But here is the catch: Flow follows fear, but only if the protocol holds. Investors and builders who fear regulatory uncertainty will flow into the state-backed infrastructure because it provides legal clarity. That is the same reason why US institutions prefer permissioned Ethereum chains for settlement. The trade-off is autonomy.
Silence is the loudest audit trail in the market. Notice that the plan says nothing about tokenization, smart contracts, or DAOs. It deliberately avoids the language of decentralization that makes blockchains resilient. This silence tells me that the plan is designed to absorb the benefits of distributed systems while eliminating the political risk of user-owned networks.
Takeaway: Vision Forward
The next 18 months will determine whether China's state-backed decentralization becomes a complementary layer or a direct competitor to Web3. I believe the answer lies in the data layer. If the plan succeeds in creating trusted data spaces that are interoperable with public blockchains (e.g., via zero-knowledge bridges), we could see a hybrid model: state-managed compute + permissionless verification. That is the most pragmatic outcome.
But if the state data spaces are locked to proprietary ledgers, we will see a fork of infrastructure. One fork for the connected world. One fork for the permissionless world. Builders must choose which data writes they trust.
