Governance isn't a marketing campaign. It isn't a free token drop designed to lure developers into a walled garden. Yet, that's exactly what Zhipu AI's recent GLM-5.3 token giveaway represents: a centralized platform masquerading as a generous ecosystem, using the language of 'free' to obscure the fact that every line of code writes a history of power—and in this case, that power remains firmly in the hands of a single corporation.
We didn't learn from the ICO era. We didn't learn from the NFT royalty theft. And now, we are watching the AI industry repeat the same mistakes: offering free tokens to acquire users, collect data, and build a moat that is anything but decentralized. The Zhipu AI event, which promised 100 million free tokens to 50,000 new ZCode users, is not a story of innovation. It is a story of control.
Context: The Event That Wasn't What It Seemed
On the surface, it looks like a generous move. Zhipu AI, a Chinese AI startup valued at over $1.5 billion, announced that new users of its ZCode platform would receive 100 million free tokens to use with its latest model, GLM-5.3. The first round was so popular that it was paused due to 'demand exceeding supply.' A second round followed, with a strict cap of 50,000 quotas. The tokens expire after a set period and can only be used within ZCode.
This is a classic freemium funnel. But for a blockchain governance architect, the alarm bells ring immediately. The tokens are not fungible. They are not transferable. They are not governed by a smart contract. They are simply entries in a centralized database, issued by a company that holds all the strings. The 'free token' narrative is a misdirection—it's a loyalty point, not a governance token.
Core: The Structural Analysis of Centralized Token Distribution
Let me be clear: this is not a critique of Zhipu AI's technical capabilities. Their GLM-5.3 model is likely competent, and their team has strong credentials. But the mechanism of token distribution reveals a fundamental misunderstanding—or deliberate rejection—of what true decentralization means.
1. Tokenomics Without Autonomy
In blockchain, token distribution is a governance act. It defines who holds power, how decisions are made, and what incentives align. Zhipu's tokens are ephemeral, non-transferable, and centrally controlled. They cannot be staked, voted, or traded. They are not on-chain. They are not auditable. Truth emerges from transparency, not from silence, and Zhipu's silence on the token's lifecycle is deafening.
Based on my experience auditing smart contracts for early Ethereum ICOs, I can tell you that the moment a token is not issued on a public blockchain, you lose the ability to verify supply, distribution, and usage. Zhipu says they gave away 100 million tokens per user—but we have no way to verify that. The total supply? Unknown. The actual number of users who claimed? Unknown. The data they collect from your prompts? That's recorded on their servers, not on a transparent ledger.
2. The Data Extraction Machine
Every developer who signs up for ZCode and uses those free tokens is feeding Zhipu's model with training data. The terms of service likely grant Zhipu the right to use that data for improvement, fine-tuning, and possibly even for training competing models. This is not collaboration—it is data harvesting. In the crypto world, we would call this a 'rug pull' on user privacy.
In DeFi, governance tokens give users a say in protocol upgrades. Here, Zhipu's tokens give users nothing but a temporary ability to run a model. The asymmetry is stark. The user contributes value (data, usage, feedback) and receives a depreciating asset (expiring compute credits). The company captures all the long-term value.
3. The Illusion of Scarcity
Zhipu capped the second round at 50,000 quotas to create a sense of urgency. This is a classic marketing tactic used by NFT projects and ICOs to drive FOMO. But unlike a limited NFT drop, where the supply is verifiable on-chain, Zhipu can easily change the quota at any time. The 'scarcity' is fabricated. It's a demand-generation tool, not a governance mechanism.
Contrarian: The Pragmatic Counterargument
Some will argue that this is just a marketing campaign, and that I am overanalyzing. They will say: 'It's free compute. Developers can use it to build cool things. Why complain?'
I understand that perspective. But as a contrarian resilience thinker, I see the long-term danger. Every time we accept a centralized free token, we reinforce the idea that 'free' is good enough—that we don't need transparency, portability, or governance. We lower our standards. We normalize the walled garden.
Let me test this pragmatically: Would you accept a 'free' token from a project that refused to publish its smart contract? Would you stake your reputation on a platform that could change the terms overnight? Of course not. But when it comes to AI, we have a blind spot. We are so eager for access to powerful models that we ignore the structural power imbalance.
Zhipu's approach is not unique. OpenAI, Google, and Anthropic all do the same thing. They offer limited free tiers, collect data, and retain all control. The difference is that Zhipu is using the language of 'tokens'—a term heavy with blockchain connotations—to make it seem more decentralized. It's a wolf in sheep's clothing.
Takeaway: The Vision Forward
We need a different model. A model where AI tokens are issued on-chain, governable, and verifiable. A model where users have a stake in the protocol they use. A model where 'free' does not mean 'your data is ours.'
I am not advocating for every AI product to be a DAO overnight. But I am calling for a standard: any platform that distributes 'tokens' should be transparent about the token's total supply, distribution plan, expiration, and governance rights. If the token cannot be audited, it is not a token—it is a coupon.
Governance isn't something you add after you have users. It is the foundation. And every line of code writes a history of power. The question is: who will write that history? The corporations, or the communities?
We didn't learn from the ICO scams. We didn't learn from the NFT royalty collapse. Let's not make the same mistake with AI. Demand transparency. Demand verifiability. Demand that tokens actually mean something.
Truth emerges from transparency, not from silence. And the silence from Zhipu AI on the tokenomics of their giveaway is deafening.