The ledger remembers what the crowd forgets. Chengdu’s AI+ Action Plan promises a dazzling 260 billion yuan in output by 2027 and 90% penetration of “next-gen intelligent terminals” by 2030. Yet as a crypto founder who’s spent a decade auditing whitepapers and watching narrative-driven bubbles inflate then pop, I recognize the pattern: ambition without verifiable on-chain truth is just another ICO whitepaper with a government seal.
Back in 2017, I dedicated three months to auditing 15 ICO projects. Four of them—including the hyped “EtherCrowd Alpha”—had insider vesting schedules disguised as decentralized governance. I published a bilingual series called “Decentralization Is Not a Buzzword,” and 50,000 people read it. Today, reading the Chengdu plan, I feel the same unease. The text is full of lofty targets: 100 innovative products, 100 demonstration scenarios, 20 benchmark projects per year. But where is the ethical audit? Where is the code that ensures transparency?
Let’s start with the Context. The Chengdu plan, released by the local government, aims to make the city a leader in AI application by focusing on “scenario-driven” adoption. It leverages Chengdu’s established electronics manufacturing base (Intel, Foxconn) and its western China cost advantage. The targets are jaw-dropping: a 260 billion yuan AI core industry by 2027, growing at >30% annually. But the plan is silent on the underlying tech stack—no mention of training frameworks, model architecture, or even how “next-gen intelligent terminals” are defined. It reads like a political memo, not a technical roadmap. And for a crypto native, that’s a red flag. We build walls of code to protect hearts of flesh. Code is law, but ethics is the conscience.
Now, the Core analysis from my perspective as a decentralized education builder. I’ll map the plan’s seven dimensions onto blockchain fundamentals.
1. Technical Route → Smart Contract Architecture The plan avoids specifying whether it relies on proprietary LLMs or API calls. In crypto terms, this is like launching a DeFi protocol without disclosing whether you’re using Uniswap V2 or V3, or whether your hooks are audited. The 70% penetration target for “next-gen terminals” implies edge AI and IoT—areas where blockchain’s verifiable data provenance could be a killer use case. But without a clear tech stack, the whole plan rests on vague assumptions. As I wrote in my 2020 “DeFi Safety Squad” guides: truth is not consensus, it is verification.
2. Commercialization → Tokenomics The plan relies heavily on government subsidies and procurement. It promises 100 demonstration scenarios funded by the state. In crypto, that’s like a token with a massive inflationary reserve controlled by a single entity. Without a clear exit to market-driven demand (B2B or B2C willingness to pay), the plan risks becoming a “subsidy pump” that deflates when the faucet closes. I saw this in 2021 when NFT projects with royalty structures that redistributed wealth to artists (like my own “Tokyo Voices” collection) succeeded, but those that depended solely on hype failed. Sustainable tokenomics require verifiable utility, not government orders.
3. Industry Impact → Ecosystem Effects The plan will boost Chengdu’s electronics, manufacturing, finance, and cultural tourism sectors. That’s analogous to a L1 blockchain attracting dApps by offering low fees and local support. But the plan doesn’t mention how to prevent lock-in or what happens when competing cities (Xi’an, Chongqing) offer better incentives. In crypto, the winner-take-most dynamic means early movers like Ethereum retain dominance through network effects, but Chengdu’s window is only 2-3 years. My 2022 experience running a “Crypto Resilience” Discord taught me that community solidarity outlasts any incentive program. The plan lacks a community-building component.
4. Competitive Landscape → L1 vs. L2 Positioning Chengdu aims to be the “AI Application Capital,” differentiating from Beijing (research) and Shenzhen (hardware). That’s like a Layer 2 chain claiming superior UX over Ethereum’s security. It can work if the application layer is genuinely sticky, but the plan doesn’t identify a unique moat. Where is the “Chengdu-native AI Agent framework” that competitors can’t replicate? Without a defensible technology or proprietary data, the city risks becoming a low-cost service hub that gets undercut by other regions.
5. Ethics & Security → Smart Contract Audits The plan is completely silent on AI safety, bias, data privacy, or accountability. This is the most dangerous omission. In crypto, we learned that unaudited code leads to losses (The DAO hack, 2016; numerous flash loan attacks). The plan promotes AI in high-risk domains (healthcare, finance) without any regulatory guardrails. I’ve mentored over 10,000 students at BlockMind Academy, and one of the first lessons is: code is law, but ethics is the conscience. Without a built-in audit mechanism—like a public registry of AI models with bias scores—the plan could cause harm that undermines public trust.
6. Investment & Valuation → Token Valuation Models A 260 billion yuan target at 30% growth implies a 2027 market size comparable to the entire global DeFi market today. That’s ambitious, but historical data shows local government plans rarely hit >60% of their targets. From my auditing experience, I’ve learned to discount such projections by at least 40%. The real question: what percentage is “AI core revenue” vs. labeled traditional output? The plan doesn’t disclose the accounting methodology. In token valuation, that’s like a project reporting “Total Value Locked” without distinguishing between organic and farmed liquidity.
7. Infrastructure & Compute → Node Hardware Chengdu boasts a 100P supercomputing center and a planned 1000P AI computing center. That’s impressive, but the plan ignores chip restrictions (US export controls) and green energy constraints. In crypto, we face similar issues with GPU shortages for mining and AI. The plan should guarantee domestic chip supply (e.g., Huawei Ascend) and carbon neutrality. My BlockMind Academy students often ask: “Where will the compute come from?” The answer must be transparent and auditable.
Now, the Contrarian angle. You might think Chengdu’s top-down approach ensures rapid deployment—like a centralized exchange listing a token for instant liquidity. But I’ve seen this fail too many times. Centralized subsidies create moral hazard. Companies will chase grants without building sustainable products. The plan’s 260 billion target could be met artificially if terms are loosely defined. The real alpha is in bottom-up adoption. Just as DeFi succeeded by empowering individuals with censorship-resistant tools, Chengdu should open its AI infrastructure to a community-governed model. Imagine a public ledger of AI usage and audit trails, part of a broader “AI+Blockchain” standard. Education dissolves fear; fear creates scarcity.
Takeaway: The future is built by those who audit the present. Chengdu’s plan is a bold vision, but without embedding transparent, verifiable mechanisms—like blockchain-based reporting of subsidy usage, open-source model audits, and community oversight—it risks becoming another vaporware promise. As someone who has spent 11 years in this industry, I urge the architects of this plan to read the lessons from crypto: truth is not consensus, it is verification. We build walls of code to protect hearts of flesh. Let’s ensure Chengdu’s AI revolution is built on a foundation that the ledger can remember.