The recently unveiled AI Cooperation Development Action Plan from China’s National Development and Reform Commission contains a critical omission: no mention of cryptographic verification for its proposed “trusted cross-border data spaces.” This is not a minor oversight. In an era where data sovereignty and compliance are policed by code, omitting zero-knowledge proofs or on-chain provenance is akin to building a vault without a lock.
This policy document, circulated through state media and blockchain-oriented news outlets, is not a technical specification. It is a strategic manifesto. Its four pillars—data circulation, universal compute access, open-source collaboration, and green low-carbon operations—aim to construct a parallel AI ecosystem that competes directly with the US-dominated model of closed-source giants and costly APIs. But as someone who has spent the last fifteen years dissecting smart contract failures and ICO white-paper fictions, I recognize the pattern: grand promises without cryptographic grounding often lead to rug pulls of a different kind.
Context: The Hype Cycle Meets Geopolitical Engineering
The AI Cooperation Development Action Plan emerges amid a global push for AI governance. The US, EU, and China are all racing to define standards. China’s approach is distinctive: it leverages state capital to build infrastructure—compute grids, curated datasets, and open-source platforms—then exports this model to developing nations via the Belt and Road Initiative. The plan explicitly calls for “intelligent computing infrastructure interconnection” and “shareable general-purpose large models.” On paper, it sounds like a public good. But beneath the rhetoric lies a system that will entrench data silos and regulatory asymmetries.
From my perspective as a cryptographic auditor, the most telling phrase is “collaborative development of open-source compliance systems.” This is code for embedding China’s AI regulations—such as the Interim Measures for Generative AI—directly into the software license. It is a technical means of enforcing political alignment. The plan does not disclose how this compliance will be verified. Without cryptographic attestation, compliance becomes a self-reported promise, violating the first rule of forensic code verification: trust, but verify.
Core: Systematic Teardown of the Four Pillars
Pillar One: Data Circulation and the Trust Mirage
The plan emphasizes “high-quality corpora,” “multilingual datasets,” and “cross-border data flows.” It also mentions “trusted cross-border data spaces.” Yet it fails to specify any mechanism for establishing trust. In my 2021 investigation of NFT royalty enforcement, I demonstrated that without on-chain verification, enforcement mechanisms are illusory. Similarly, a trusted data space without cryptographic proofs—such as zero-knowledge range proofs or verifiable credentials—is merely a regulatory declaration.
Consider the risk: if data provenance is not anchored on a public ledger, how does a developing country verify that the shared dataset has not been tampered with? How does an auditor confirm that data flows comply with both Chinese law and local privacy regulations? The plan’s silence on this question suggests that trust will be centralized, not cryptographic. This re-centralizes power in the hands of the state that operates the data space.
During my 2017 audit of a ICO with a flawed token distribution algorithm, I learned that hidden vesting schedules could only be detected by reading the bytecode. Here, the hidden vesting is in the governance model: the compliance system is the lock, and China holds the key. Ledger balances do not lie; they only wait. But if no ledger exists, there is nothing to audit.
Pillar Two: Universal Compute—A National Grid or a Bottleneck?
The plan calls for “interconnection of intelligent computing facilities” to provide “affordable intelligent computing services to developing countries.” This echoes the concept of a compute utility, similar to electrical grids. The ambition is laudable, but the technical execution is fraught. Interconnecting heterogeneous hardware—NVIDIA GPUs, Huawei Ascend, Cambricon—requires standardized scheduling and data transfer protocols. The plan does not mention which protocols will be used, nor how they will handle geographic latency or energy constraints.
In my 2020 DeFi rug pull analysis, I traced anomalous liquidity patterns by parsing contract interactions across multiple chains. That exercise revealed that cross-chain connectivity without standardized state verification leads to exploit vectors. Here, the same applies: a fragmented compute grid without a unified cryptographic proof layer will be vulnerable to oracle manipulation and data integrity attacks.
Moreover, the plan’s emphasis on “green and low-carbon development” implies that compute centers must meet strict PUE targets. This will accelerate adoption of liquid cooling and energy-efficient chips, but it also raises the capital barrier for entry. The plan expects state-owned enterprises and select private firms to shoulder this burden. For blockchain projects offering decentralized compute (e.g., Render, Akash), this could be either a threat or an opportunity—depending on whether the state grid competes with or absorbs these networks.
Pillar Three: Open-Source Collaboration—A Fork in the Ecosystem
The plan pledges to “co-build an international open-source AI community” and “share general-purpose large models.” This sounds like a pro-open-source stance, but the devil is in the compliance clause. By requiring “collaborative development of open-source compliance systems,” the plan signals that any model hosted on its platform must adhere to Chinese regulatory standards, including content moderation and censorship requirements.
This creates a bifurcation of the open-source world. Western open-source projects (Linux Foundation, Apache, Hugging Face) operate under permissive or copyleft licenses with minimal censorship. A Chinese-mandated compliance system could restrict what developers can build or how models can be fine-tuned. I have seen this dynamic before: in 2021, when I exposed the flaws in an NFT marketplace’s royalty enforcement, the platform was forced to choose between user freedom and regulatory compliance. The platform chose the latter, effectively centralizing control. The same tension will emerge here.
Furthermore, the plan does not specify how open-source governance will be structured. Will there be a foundation with a vote-based decision-making process? Or will the state retain veto power? In my experience auditing smart contract governance, the latter leads to whitelisting and permissioned networks—antithetical to the open-source ethos. Hype evaporates; receipts remain. The receipt for this plan will be a GitHub repository with a non-negotiable license that reads “Subject to Chinese law.”
Pillar Four: Green Low-Carbon—A Necessary but Insufficient Condition
I cannot argue against energy efficiency. However, the plan’s emphasis on green computing appears more as a branding exercise than a transformative requirement. It imposes PUE limits but does not address the e-waste problem of replacing accelerator chips every two years. From a carbon-accounting perspective, the plan lacks on-chain carbon credits or verifiable offsets. A blockchain-based carbon ledger would provide transparency; its absence leaves room for greenwashing.
Contrarian: What the Bulls Got Right
Despite my skepticism, the plan correctly identifies structural weaknesses in the current AI landscape: over-reliance on a few Western companies for compute and models, the high cost of inference, and the lack of multilingual datasets for underrepresented languages. By building an alternative infrastructure, China could lower barriers for developers in Africa, Southeast Asia, and Latin America. This aligns with the crypto ethos of permissionless access.
Moreover, the plan’s call for “cross-border data flows” could inadvertently boost demand for privacy-preserving technologies like secure multi-party computation (MPC) and zk-rollups. If the state requires verifiable data provenance, it may adopt blockchain-based data marketplaces (e.g., Ocean Protocol, Streamr). I have seen regulation force innovation in unexpected ways—the 2025 MiCA regulations in Europe led to a surge in zk-proof-based compliance tools. Similarly, this plan could catalyze a wave of DePIN (Decentralized Physical Infrastructure Network) projects that offer compute and data storage aligned with Chinese standards.
The plan’s belief in open-source as a strategic asset is also correct. Open-source models are more auditable, harder to monopolize, and better suited for local adaptation. If China’s open-source community becomes a legitimate competitor to Meta’s Llama or Microsoft’s Phi, that could benefit the entire ecosystem. The catch is that the “open” part must be genuine, not merely a facade for state-controlled distribution.
Takeaway: A Fork in the Digital Silk Road
This action plan is not a blueprint; it is a declaration of intent. It signals that China will attempt to control the infrastructure layer of AI, much as it controls the physical infrastructure of the Belt and Road Initiative. For blockchain developers, the key question is not whether the plan will succeed, but how to position themselves in a world where two interoperable but rule-separate AI ecosystems emerge.
The plan’s failure to incorporate cryptographic verification for data spaces and compute grids is its most glaring weakness. But that weakness is also an opportunity: projects that can offer verifiable, auditable, and censorship-resistant alternatives will have a product that neither ecosystem can ignore. The cold reality is that trust in centralized promises is finite. Code, when properly audited, is not.
As I wrote in my 2022 analysis of the Terra collapse: “Volatility is not risk; opacity is.” This plan, for all its ambition, remains opaque where it matters most. And opacity, in a digital world, unravels without cryptographic proof.