Hook
Last week, at the 2026 World AI Conference, Yin Qi — chairman of LeapStar & QianLi Technology — stood on stage and painted a vision so seductive it felt like science fiction turned manifesto. By 2026, he claimed, model intelligence would cross a critical threshold. AI would no longer execute tasks in seconds but would work autonomously for tens of hours. It would own a persistent identity, communicate with other agents in an Agent-to-Agent (A2A) network, and eventually inhabit physical terminals — cars, robots, phones — as a co-pilot for humanity. The audience applauded. The crypto-native part of me, however, felt a familiar ache. It was the same feeling I had in 2022, watching projects promise "permissionless finance" while their treasuries were controlled by multi-sigs held by three friends. We've heard grand visions before. But this one was missing something fundamental: a trust layer that doesn't rely on a single company's server.
Context
Let's break down what Yin Qi actually proposed. His core thesis rests on three pillars: an "Agentic OS" that connects models to data, tools, and devices, defining the agent's behavioral boundary; a new generation of terminals designed for human-agent symbiosis rather than human-centric input; and an A2A network where agents have independent identities, credit systems, and the ability to autonomously collaborate and transact. He framed this as the next computing paradigm shift — akin to Windows or Android for the age of embodied intelligence. The timing is no accident: by 2026, he argues, the cost of inference will plummet, latency will shrink, and models will finally achieve the reliability needed for multi-hour autonomous workflows.
But here's the problem I see from my perch as a Decentralized Protocol PM in Nairobi: none of these pillars actually require decentralization. The Agentic OS could be Google's Android with an AI overlay. The A2A network could be OpenAI's proprietary agent protocol. Yin Qi's speech was conspicuously silent on how trust, identity, and value transfer would work without centralized gatekeepers. Having spent 2017 tracing the reentrancy bug in The DAO's smart contract, and 2020 obsessing over Curve's stableswap invariant, I've learned that code is law only when no single entity can change the rules. A centralized A2A network controlled by one company is not an agent economy — it's a digital plantation.
Core
Let's dig into the technical undertow. The A2A network, as described, would require agents to hold independent identities, accrue reputation, and conduct transactions. That's a textbook use case for blockchain-based decentralized identifiers (DIDs) and verifiable credentials. Yet Yin Qi's team at LeapStar & QianLi — likely a Chinese mobility or robotics company — hasn't published even a draft protocol for how identities would be anchored. Based on my experience auditing AI-generated content authenticity with my "TruthLayer" prototype in 2025, I found that users care less about the tech and more about who controls the revocation keys. A2A without a public, immutable ledger is an invitation for Sybil attacks, collusion, and censorship.
The real gap is economic. For agents to work for tens of hours autonomously, they need to pay for compute, storage, external APIs, and maybe even compensate human oversight. That requires a native payment rail — not credit card settlements with three-day settlement windows, but instant, programmable value transfer. We've seen this in DeFi with flash loans and automated market makers. The Agentic OS could integrate a crypto wallet natively, enabling agents to escrow funds, trigger smart contracts, and settle disputes on-chain. Yin Qi mentioned "credit systems" for agents, but without a trustless settlement layer, that credit is just a database entry that an administrator can zero out during a server migration.
And what about the model itself? The core assumption — that model capabilities will cross a threshold by 2026 — is predicated on scaling laws that might hit diminishing returns. I've run experiments benchmarking LLMs on multi-step software engineering tasks: even GPT-5 clones fail 40% of the time on a 10-step CI/CD pipeline. Expecting 40-hour autonomy without any fallback logic is dangerously optimistic. The bear market didn't teach me to be pessimistic; it taught me to look for protocols that survive when assumptions break. Bitcoin survives because its monetary policy is hard-coded. Uniswap survives because its liquidity can't be rug-pulled by a CEO. An agent that controls a physical car needs the same immunity from a single point of failure.
Let's talk about the Layer2 of agents. In the crypto world, we debate OP Stack vs ZK Stack constantly. The real differentiator isn't technical — it's which stack convinces more projects to deploy chains on top. Similarly, the battle for Agentic OS won't be won by the best architecture, but by the one that attracts the most agent developers and terminal manufacturers. Yin Qi's company may have an advantage if they own a popular car or robot platform. But as I've argued many times: 90% of so-called "Bitcoin Layer2s" are just Ethereum projects rebranding for hype. The same will happen with "decentralized AI agents" — projects will slap a blockchain sticker on a centralized bot and call it a revolution. We don't need another gold rush of fake protocols. We need an Agentic OS that is open-source, permissionless to join, and whose upgrade mechanism is governed by token holders — not a corporate board.
From my 2017 code curiosity onward, I've believed that smart contracts are social contracts. The DAO hack taught me that code can be exploited by human hubris, but it also taught me that transparency and auditability are non-negotiable. Yin Qi's vision lacks any mention of audit trails for agent decisions. If an agent controlling a delivery drone crashes into a building, who is responsible? The user who deployed it? The developer who trained it? The OS provider who authorized the movement? Without an on-chain record of agent actions, we default to legal ambiguity. That's exactly the opposite of what crypto promises: determinism and verifiability.
Contrarian
Now, let me challenge my own view. Maybe Yin Qi's silence on decentralization is strategic, not ignorant. Building an Agentic OS that works smoothly requires tight integration — if every transaction had to be confirmed on a public chain, latency would be unacceptable for real-time control of a robot arm. There's a legitimate trade-off between throughput and decentralization. Perhaps the right path is a hybrid model: agents use centralized orchestration for high-frequency tasks but settle critical state transitions (identity changes, large payments, policy updates) on a layer-1 like Ethereum or a sovereign rollup.
But here's the contrarian twist: the most successful decentralized networks — Bitcoin, Ethereum, even Solana — didn't start by optimizing for speed. They started by optimizing for permissionless sovereignty. The phone network didn't become ubiquitous because it was fast; it became ubiquitous because anyone could plug into it. Yin Qi's vision could inadvertently create a walled garden where agents are only as free as the OS provider allows. We've seen this play out with Apple's App Store commissions. Imagine an agent that wants to switch from LeapStar's OS to Google's — can it migrate its identity, its reputation, its transaction history? Without a portable, blockchain-based identity, the answer is no. The agent is locked in.
Takeaway
Yin Qi's speech is a powerful narrative, and I respect his ambition to define the next computing platform. But as an evangelist who has seen both the promise and the pitfalls of decentralized systems, I urge caution. The agent economy will be built on code that manages real-world value and risk. If that code is not law — if it can be changed by a corporate board or a government firewall — then we haven't liberated intelligence; we've just centralized it under a new interface.