Due diligence is just paranoia with a spreadsheet.
Chengdu just dropped its “AI+” action plan—260 billion yuan by 2027, 90% penetration for “next-gen intelligent terminals and agents” by 2030. A centralized government rollout aimed at boosting local industry. No token, no DAO, no smart contract. Yet the parallels to every over-hyped crypto whitepaper I’ve audited are screaming.
Let me be clear: I’m not here to bash a city’s industrial strategy. I’m here to apply the same forensic lens I used on Luna’s Vyper contracts and FTX’s FTT reserves. Because when a macro target lacks a micro-structural breakdown, you’re not looking at a plan—you’re looking at a narrative.
Hook: The 260 Billion yuan Number Has No Proof-of-Reserve
The policy targets an AI core industry scale of 260 billion yuan by 2027, implying a CAGR >30%. That’s double China‘s national AI growth rate. My first instinct: stress-test the assumption. Where is the baseline? What counts as “AI core industry”? Is it revenue from pure SaaS, or does it include the AI-assigned value of a smartphone that already had a camera? The document is silent.
In crypto, we call this “VPIN” (volume per unit of narrative). If you can’t trace the source of value creation, the number is a meme. I’ve seen this before—in 2021, Terra’s “$40 billion ecosystem” was built on a circular UST-LUNA loop. Chengdu’s plan may be real, but without a transparent accounting framework, it’s a promise on a centralized ledger controlled by the issuer.
Context: Why Now? The Bear Market of Local Industrial Policy
China’s local governments are competing for AI dominance: Beijing (basic research), Shenzhen (hardware), Hangzhou (e-commerce). Chengdu is positioning as the “application first city.” The timing aligns with a national push to digitize manufacturing and services, and Chengdu’s existing electronics base (Foxconn, Intel) makes it a natural testbed.
But here’s the catch: the crypto winter taught us that when everyone rushes to a narrative, disciplined capital allocation becomes rare. Chengdu plans to launch “100 innovation products and 100 demonstration scenarios” per year, funded by government procurement and subsidies. That’s the equivalent of a token project claiming it will deploy 100 dApps without releasing the core protocol’s audit.
Core: The Technical Gap – Where‘s the Code?
The policy mentions “next-gen intelligent terminals and agents” but defines neither. Are these edge-AI devices running small language models? Embodied robots with agent frameworks? Or just rebranded IoT sensors? From a forensic perspective, this is like a whitepaper that says “we use blockchain” without specifying the consensus mechanism.
Based on my experience auditing the Uniswap V2 AMM rounding errors, I know that vagueness at the protocol level cascades into execution failures. Chengdu’s plan has no mention of training frameworks (Megatron, DeepSpeed), model architectures (MoE, SSM), or compute scheduling. It assumes existing stacks (Huawei MindSpore, Zhipu GLM) will be integrated. That’s fine for application-level aggregation, but it means the city’s AI differentiation rests on procurement contracts, not innovation.
Compare this to the crypto AI agent boom of 2024-2026: protocols like Virtuals and Myshell had clear on-chain logic for agent payments, task verification, and gas fee optimization. Chengdu’s plan is still at the “we will have agents” stage—no tokenomics, no incentive design, no security audit.
More critically, the 70% penetration target by 2027 lacks a denominator. Is it revenue penetration? User penetration? Device penetration? If it’s devices, does a smart light bulb with a $0.50 AI chip count? If it’s revenue, does the local Foxconn factory’s iPhone assembly line with AI-assisted inspection count? The ambiguity allows the number to be gamed—exactly like how some crypto projects count total value locked (TVL) by including their own liquidity pairs.
Contrarian: The Real Blind Spot – Not Tech, but Incentive Alignment
The mainstream take will be: “Chengdu is a great AI hub with low costs and strong government support.” That’s the surface narrative. The contrarian angle I see as a market surveillance analyst: the plan lacks any mechanism for verifying value creation, creating a classic principal-agent problem.
Government subsidies flow to local companies that claim AI adoption. Without independent third-party audits of actual AI usage and ROI, the system incentivizes “AI washing”—slapping a chatbot on an old product and calling it intelligent. We saw this in crypto with “Web3” gaming projects that were just centralized databases with a token.
Furthermore, the policy ignores AI ethics, safety, and regulatory compliance entirely. No mention of algorithmic audits, data privacy, or liability frameworks. In crypto, we demand that exchanges submit proof-of-reserves. Here, there’s no equivalent for AI safety. The EU AI Act requires risk classification; Chengdu’s plan skips it. This creates a legal vacuum that could become a liability when an AI-driven decision causes harm—say, a smart lock that fails or a financial advisor model that misallocates a pension.
Finally, the compute infrastructure assumption is the biggest unhedged bet. Chengdu has the Tianfu Supercomputing Center (100 PFLOPS) and plans for 1,000 PFLOPS by 2025. But US chip sanctions are tightening, and NVIDIA’s H100/B200 restrictions are real. The plan implicitly relies on domestic alternatives (Huawei Ascend). If those underdeliver on performance or software tooling, the entire 260 billion yuan target rests on a bottlenecked supply chain.
Takeaway: What I’m Watching Next
This isn’t a “Chengdu will fail” piece. It’s a signal extraction exercise. The plan is a centralized top-down ambition with no decentralized verification layer. For crypto natives, the lesson is clear: when a project announces a massive total addressable market (TAM) without showing unit economics, be skeptical.
My next watch: (1) Does Chengdu publish a detailed implementation guide with measurable KPIs for each industry vertical? (2) Do local AI companies start issuing tokens or forming DAOs to raise capital transparently? (3) Will the Tianfu Supercomputing Center integrate with any decentralized compute network (Akash, io.net)? If the answer is no on all three, treat the 260 billion as a narrative—not a due-diligence-backed thesis.
Due diligence is just paranoia with a spreadsheet. And right now, Chengdu’s spreadsheet has too many empty cells.