Hook
The numbers are impressive: 2600 billion yuan in industry scale by 2030, a 70% penetration rate for "smart terminals" by 2027. Chengdu’s AI+ action plan sounds like a blueprint for a regional technology superpower. But as someone who has spent the last six years dissecting smart contract audits and Layer 2 architectures, I see a glaring absence in the document. Not a single mention of cryptographic verification, decentralized identity, or on-chain provenance. In a world where AI agents are increasingly autonomous—and where the Terra-Luna collapse taught me that mathematical stability is meaningless without auditable logic—this omission is not just a policy gap. It is a systemic risk waiting to compound.
Context
Chengdu, the capital of Sichuan province, has historically relied on its electronics manufacturing base (Intel, Foxconn) and a growing software ecosystem (Tianfu Software Park). The AI+ plan is designed to push the city from a hardware assembly hub into an "AI application frontier." The strategy is classic top-down: massive infrastructure targets, government-subsidized demonstration projects (100 products, 100 scenarios annually), and a heady goal of 30% year-over-year growth. The plan covers seven dimensions—technology roadmap, commercialization, industrial impact, competition, ethics, investment, and infrastructure—but only the first six are discussed in the standard analysis. The seventh, infrastructure, touches on computing power (Tianfu AI computing center targeting 1000 PFLOPS). Nowhere does the document mention blockchain, smart contracts, or decentralized consensus.
Core: Where the Code Should Be
Let’s trace the gas trails back to the root cause. The Chengdu plan banks on "intelligent terminals and agents" achieving >70% penetration. But what defines an "agent" in a trustless environment? In my work auditing Optimism’s first-gen rollup, I learned that state commitment is everything. Without a public, immutable ledger to record agent decisions, how do we verify that a terminal is acting as intended? The plan skips this entirely.
Consider the ethical dimension: the document mentions zero guidelines for algorithmic bias or data privacy. In blockchain, we have a tool for that—zero-knowledge proofs. A smart terminal could prove it didn’t leak user data without revealing the data itself. Chengdu’s plan assumes a benevolent centralized authority, but my Parity multisig audit taught me that authority is a single point of failure. One compromised backend and every "smart" door lock, healthcare AI, and financial agent becomes a zombie network.
The plan’s "core" is a black box of government contracts and subsidized pilots. The 100 demonstration scenarios are essentially walled gardens. Contrast this with Ethereum’s permissionless innovation: anyone can deploy a smart contract, and failure is visible on-chain. Chengdu’s model is the opposite—success is measured by published numbers, not verifiable code.
From a competitiveness perspective, Chengdu wants to be the "AI application capital," different from Beijing’s research and Shenzhen’s hardware. But the missing layer is trust infrastructure. Without blockchain-based identity and execution logs, these applications cannot interoperate securely with global systems. When a smart terminal in Chengdu talks to a DeFi protocol in Singapore, who is the counter party? The plan doesn’t answer.
The investment analysis shows a 2600 billion target with over 30% growth—almost double the national average. Historically, such local plans achieve only 60% of their goals. But even that assumes a stable funding environment. My experience analyzing Terra’s seigniorage mechanism taught me that exponential targets without transparent, on-chain backed reserves lead to collapse. Chengdu is promising AI growth without on-chain auditability.
Contrarian: The Blind Spot of Centralized Confidence
The contrarian angle is that Chengdu’s plan is actually dangerous for the future of decentralized AI. By pouring billions into centralized smart terminal control, it creates a honeypot for attackers and a dependency on government-managed root certificates. In the name of "industrial scale," the plan ignores the very security properties that blockchain can provide: immutability, transparency, and user-owned identity.
Take the ethics gap: the document completely omits AI safety frameworks. In the EU AI Act, high-risk systems must be traceable. Blockchain is the natural traceability layer. Chengdu’s omission suggests they plan to rely on internal audits and regulatory compliance—the same model that failed in the 2016 The DAO hack. The code does not lie, but the auditor must dig. Here, no one is digging.
Even the tokenization angle is missing. Many AI projects today issue tokens to align incentives between data providers, model trainers, and users. Chengdu’s plan focuses on hardware penetration but ignores economic protocols. If an agent performs a valuable task, who gets paid? In a blockchain-native agent economy, the transaction is settled atomically. In Chengdu’s model, it is settled by a bank—adding friction and counterparty risk.
Takeaway: The Next Cycle Begins Off-Chain
Chengdu’s AI policy is a massive vote of confidence in centralized AI infrastructure. But shifting the consensus layer, one block at a time, I see a divergence. Over the next five years, as these smart terminals come online, the need for on-chain governance will become undeniable. Blockchain projects that build bridges to such government-led ecosystems—via DID (decentralized identity) or zk-proof bridges—will capture the value of compliance without sacrificing trustlessness. The data is silent now, but when the first automated insurance claim or traffic ticket is disputed based on an AI decision, the call for a public, verifiable ledger will be louder than any government white paper.
For now, the plan is a roadmap to economic scale. But scale without cryptographic attestation is just noise waiting to be exploited.