Chengdu's AI Ambition: The Blockchain Blindspot in a 2600 Billion Yuan Bet

Over the past seven days, the narrative around Chengdu's 'AI+' Action Plan has settled into a comfortable groove: a 2600 billion yuan bet on smart terminals, 100 innovation products, 20 showcase scenarios per year. The narrative is that Chengdu is positioning itself as the application capital of artificial intelligence. But as someone who spent weeks auditing Solidity code for an ICO that promised the world and delivered nothing, I've learned that the value isn't in the headline targets—it's in the gaps between the lines. And in Chengdu's plan, the largest gap isn't technical or financial. It's a complete absence of blockchain infrastructure as a foundational trust layer. The context from the official document is unambiguous: by 2027, over 70% of 'new-generation smart terminals and agents' should be integrated into daily life; by 2030, that figure climbs above 90%. The plan promises 100 AI innovation products, 100 demonstration scenarios, and a 2600 billion yuan AI core industry scale. Yet nowhere does the text mention decentralized ledgers, smart contracts, or token-based incentives. As a narrative hunter who tracked the rise and fall of DeFi summer, this silence screams louder than any number. The core of my analysis begins where the policy ends—with the technology stack that must underpin such a massive penetration of intelligent devices. Based on my audit experience auditing the Zeepin ICO's token distribution algorithm, I know that code is the only impartial truth. The plan's technology route is silent on whether the smart terminals will use open-source models, whether the AI agents will have deterministic logic, and crucially, how data provenance and user consent will be enforced. Blockchain offers a ready-made solution: every inference request, every data contribution, every interaction can be recorded on a transparent, immutable ledger. The narrative isn't about adding blockchain for blockchain's sake—it's about building a trust layer that prevents the 'value-drain' of fake adoption metrics that plagued the NFT bubble. In Dimension Five of the source analysis, the policy's complete absence of ethics, security, and regulatory frameworks is flagged as a high risk. The code-first verifier in me sees this as the single biggest vulnerability. During my DeFi days, I examined MakerDAO's stabilization mechanisms—the transparency of the smart contract code allowed the community to audit and trust the system even during the Dai peg crisis. Chengdu's plan lacks any equivalent mechanism. Without on-chain verification, the 70% penetration rate becomes a statistic that can be gamed by central authorities or corrupted by faulty sensors. The value wasn't in the target itself, but in the integrity of the data that proves it. Consider the commercialization path. The plan relies on government subsidies and procurement—a classic 'scene-driven' model. But my experience with the Silica Valley exile taught me that centralized gatekeepers can stifle innovation. In 2017, I submitted a critical GitHub issue to the Zeepin project that forced an ICO to restructure its token distribution. That was possible because the code was open and the network was permissionless. Chengdu's 100 demonstration scenarios could benefit from token-based incentive design: instead of paying for AI services with fiat alone, projects could issue utility tokens that align users, developers, and infrastructure providers. This creates a self-sustaining flywheel, not a subsidy-dependent loop. The human-agency advocate in me knows that when users own a stake in the network, they become guardians of its integrity. The contrarian angle, however, is that adding blockchain could slow down deployment. I've seen the absurd proving costs of ZK Rollups—if Chengdu's terminals require constant on-chain proofs, the latency and expense might cripple real-time AI interactions. The layer-2 critic in me recognizes that current blockchain throughput is insufficient for billions of edge inferences. But that doesn't mean blockchain should be ignored; it means the city must invest in scalable, energy-efficient consensus mechanisms—perhaps delegated proof-of-stake or hybrid off-chain/on-chain architectures. The plan's silence on compute infrastructure beyond traditional cloud (Dimension Seven) misses an opportunity to leverage decentralized compute networks like Akash or Filecoin, which could lower costs and increase resilience against Western chip restrictions. Moreover, the competitive landscape (Dimension Four) shows Chengdu aiming for 'AI application first city,' distinct from Beijing's research and Shenzhen's hardware. But it faces rival cities like Xi'an and Chongqing. A blockchain-based identity system for smart terminals could become a unique differentiator—imagine a city where every device has a verifiable, self-sovereign identity on a public chain. That would attract developers building decentralized AI agents and create a flywheel of composability. Yet the policy text remains focused on 'smart terminals and agents' without specifying how these agents will discover and trust each other. The narrative isn't about adding blockchain; it's about enabling a new class of autonomous, trusted machine interactions that only a distributed ledger can provide. The investment angle (Dimension Six) is equally telling. The 2600 billion target likely includes substantial 'traditional industry + AI' transformations, not pure AI core revenue. As I've seen in countless bear-market narratives, investors chase growth stories without verifying the denominator. A tokenized venture fund for Sichuan-based AI startups could attract global capital, but the plan offers no such mechanism. The code-first verifier would demand: how much of that 2600 billion is verifiable on-chain? Without audit trails, the number stays a political artifact. Let's talk about the ethics gap. Dimension Five in the source analysis points out that the policy omits AI safety, algorithmic bias testing, and data privacy. During my work with AI-agent crypto projects, I developed a framework for 'narrative integrity' using blockchain to verify human-authored content versus AI-generated spam. Chengdu's smart terminals will collect enormous amounts of personal data—from smart locks to medical IoT. Blockchain can enforce data usage policies via smart contracts, giving citizens granular control over their information. The real story of DeFi isn't the yield; it's the ability to verify. Chengdu's plan ignores this lesson at its own peril. Yet I must address the contrarian perspective: that adding blockchain to an already ambitious AI plan might overcomplicate execution. I've felt the JPEG exhaustion of 2022—where hype outpaced utility. A rushed blockchain integration could lead to worse outcomes: insecure smart contracts, governance attacks, or regulatory backlash. The regulatory narrative bridge I built during the ETF approval era shows that compliance is paramount. If Chengdu creates its own private blockchain, it might fail to achieve interoperability and global trust. The human-agency advocate in me worries about forcing a technology where a simple database suffices. But here's the counter-contrarian: the plan's reliance on 'government-led, scene-driven' deployment is itself a risk. Centralized systems invite corruption and single points of failure. BlackRock's BUIDL fund showed that institutional money demands transparency. Chengdu's AI future, if built solely on traditional cloud and government contracts, will lack the composability and auditability that public networks provide. The narrative wasn't written in the policy document—it's being written by the thousands of developers and companies who will decide where to build. Takeaway: The real question isn't whether Chengdu can hit 2600 billion yuan. It's whether that value will be built on transparent, auditable code or on opaque government contracts. The narrative wasn't written yet. But for a city that aspires to lead in AI applications, ignoring the blockchain layer is like building a skyscraper without fire exits. The next 18–36 months will reveal if Chengdu's leaders have the foresight to integrate decentralized trust into their smart terminal vision. I'll be watching the data—and the code.