Last week, the Chengdu municipal government released its "AI+" Action Plan, targeting a 260-billion-yuan AI industry scale by 2030 and a 70% penetration rate for smart terminals and agents by 2027. The numbers are impressive on paper. But as I read through the document—downloading the 50-page official PDF from their website—I noticed something that immediately triggered my DeFi audit instincts: a complete absence of any mention of trust, security, or human oversight.
This is a plan optimized for scale, not for resilience. And in a world where the FTX collapse taught us that centralized promises crumble faster than they're built, we need to ask: who verifies the AI?
Context: The Architecture of Trust in a Top-Down AI Push
The Chengdu plan is a textbook example of industrial policy: set ambitious targets, promise subsidies, and hope the market delivers. They aim for 100 innovative products and 100 demonstration scenarios, with 20 flagship use-cases per year. The primary beneficiaries will be local IT service providers, electronics manufacturers, and state-owned enterprises in education, healthcare, and finance.
But here's the problem—one that I've seen repeated across every centralized initiative from the 2017 ICO mania to the 2022 centralized exchange collapses. The plan assumes that adoption follows investment, and that value flows from the top down. It assumes that the government can define what a "smart terminal" is, and that companies will obediently build them.
Code is law, but humans are the protocol. The Chengdu plan has code (targets, subsidies, deadlines), but it has no protocol (how trust is maintained, how unexpected failures are handled, how human judgment overrides algorithmic bias). It is a smart contract without a fallback function.
Core: Where the Blockchain Layer Fits
Based on my audit experience during the 2020 DeFi Summer, I learned that the most robust systems are not the ones with the highest throughput, but the ones with the clearest accountability mechanisms. The Chengdu plan's biggest blind spot is its complete silence on data provenance, model verification, and decision audit trails.
Consider this: the plan targets 70% penetration for "new-generation intelligent terminals." In practice, that means millions of AI-powered cameras, voice assistants, and industrial sensors will be deployed across the city. Each of these devices will make decisions—deny a loan, recommend a medical treatment, adjust a traffic light. But who audits the model? Who holds the vendor accountable if the AI misclassifies a patient's symptoms?
We built trust in the chaos, not despite it. The chaos of a million unverifiable AI terminals is exactly the environment where blockchain-based verification becomes essential. We need on-chain model fingerprints, immutable audit logs of every inference, and decentralized identity for every device. The technology exists—it's called decentralized physical infrastructure networks (DePIN), and it's already being deployed in smart city projects from Dubai to Zug.
The plan also ignores the biggest elephant in the room: who owns the data? When a smart terminal collects citizen data, that data flows to a centralized server—likely owned by a state-backed tech giant. There is zero mention of data sovereignty, user-controlled access, or tokenized data markets. This is a missed opportunity for Chengdu to become a global leader in ethical AI infrastructure.
Contrarian: The Centralization Trap They're Walking Into
The conventional wisdom is that centralized planning is faster. It's not. Based on my experience building the Anchor Project during the 2022 bear market, I learned that communities that depend on a single authority for validation are the first to fracture when that authority fails. The Chengdu plan is essentially creating a single point of failure—a government bottleneck—for AI governance.
Trust is earned in drops, lost in buckets. The plan's 260-billion-yuan target sounds ambitious, but if it's built on opaque algorithms and unverifiable claims, it will evaporate the moment a high-profile AI failure occurs. Imagine a self-driving taxi in Chengdu misidentifies a pedestrian. Without an on-chain audit trail, who gets blamed? The car maker? The software vendor? The city? The legal liability will be a mess, and the trust deficit will drag down the entire ecosystem.
Furthermore, the plan's reliance on subsidies—what the analysts call "policy-guided procurement"—means companies will optimize for winning government tenders, not for building sustainable products. This is the same dynamic that created the "vaporware" ICO projects of 2017: raise money on promises, deliver as little as possible, and move on. The plan has no mechanism to enforce long-term commitment.
Takeaway: The Missing Layer is Decentralized Accountability
Education is the antidote to exploitation. The best way to ensure that Chengdu's AI push doesn't become another inflated promise is to embed educational protocols—not just for developers, but for the citizens whose lives will be shaped by these systems. We need blockchain-based education platforms that explain how AI decisions are made, how to verify them, and how to contest them.
The future belongs to those who teach together. If Chengdu wants to truly lead, it should pilot a city-wide on-chain AI registry, where every smart terminal's model hash, training data provenance, and inference logs are publicly verifiable. It should fund decentralized AI auditing startups, not just from a pool of state-backed enterprises.
Code is law, but humans are the protocol. The Chengdu plan has the code—now it needs the human protocol to make it trustworthy. Without that layer, the 260 billion yuan will be built on sand. With it, Chengdu could become the first city to prove that AI and blockchain aren't competing technologies—they're the yin and yang of a resilient digital society.