The market did not crash; it sighed. On August 14, Kimi, a rising AI startup, released a terse statement: fraudsters were using its name to pitch a “Friend Fund” and “Special Channel” for investment. The company had already reported to the police. The news rippled through tech and crypto circles alike—not because of a hack or a rug pull, but because of a quieter, more insidious threat: identity theft in the digital age.
For those of us who watch the macro undercurrents, this is not a one-off. It is a symptom of a deeper liquidity of trust. Kimi, like many AI firms, operates in a gray zone where brand recognition is currency, and the absence of a transparent, verifiable fundraising channel creates a vacuum. Fraudsters filled it with jargon: “Old Share Quota,” “Special Channel,” terms that echo the insider-speak of crypto presales and private placements. The company’s response—a public denial and a police report—is the classic analog playbook. But in a world where capital flows through encrypted channels, is that enough?
Context: The Anatomy of the Scam
Kimi is not a blockchain company. It builds large language models, competing in the AI arms race. Yet its fundraising infrastructure is traditional: closed-door meetings, personal introductions, and a reliance on reputation. The fraudsters exploited this opacity. They created a parallel universe of fake terms, fake channels, and likely fake documents. The company’s statement explicitly denied any authorized agents, pointing to the absence of an official channel as the red flag.
This is where the crypto parallel becomes stark. In decentralized finance, every transaction is a promise frozen in time—recorded on a public ledger, immutable, auditable. Kimi’s fundraising process, by contrast, lives in the shadows of NDAs and off-chain conversations. The fraudsters simply mirrored that opacity. They didn’t need to hack a smart contract; they hacked the human trust layer. As I noted in my analysis of CBDC prototypes, the UX design of financial systems often determines their vulnerability. Kimi’s lack of a verifiable, on-chain fundraising mechanism is a UX failure—a missing “verify” button for investors.
Core: The Macro View on Trust Capital
From a macro perspective, the Kimi incident is a case study in the liquidity of trust—or rather, its illiquidity during a bull market. When capital is abundant, investors are more willing to skip due diligence. The same frenzy that drove retail into fake ICOs in 2017 now drives accredited investors into fake AI funds. The fraudsters used a bull-market playbook: create scarcity (“Friend Fund,” “Old Share Quota”), use authoritative language, and target the FOMO.
But here is the core insight: the problem is not the fraud itself, but the structural gap between digital identity and financial reputation. Blockchain offers a partial solution: a public key infrastructure that anchors a company’s official channels. Imagine if Kimi had published a signed message on its website, or better, a smart contract that defines its only authorized fundraising address. Investors could verify instantly. The “Friend Fund” would be exposed as a counterfeit the moment it failed to match the on-chain record.
Yet, as I’ve seen in my work evaluating CBDC implementations, the user experience of such verification is often poor. The friction of checking a hash or a signature is a barrier. The fraudsters rely on that friction. A transaction is just a promise frozen in time, but only if the promise is recorded on a chain that everyone trusts. Kimi’s solution—a press release and a police report—is a promise that can be easily forged or ignored.
Contrarian: The Decoupling Thesis
Here is the contrarian angle: the Kimi case actually reveals the limits of blockchain’s trustless promise. The fraudsters didn’t use a fake blockchain; they used fake social proof. They mimicked the language of the community. In crypto, we see the same pattern: phishing sites that look identical to Uniswap, fake airdrop tweets that direct users to drain contracts. The technology is only as secure as the human interface.
Decoupling from the macro narrative, I argue that the solution is not purely technological. It requires a hybrid: on-chain verification of official channels, combined with legal recourse. Kimi’s police report is the off-chain anchor. The company’s statement serves as a timestamped record that can be used in court. The real innovation will be a system where a company’s fundraising address is registered on a public ledger, but also protected by legal frameworks. This is the “compliance-as-design” philosophy I’ve advocated for: regulation as a creative constraint, not a burden.
Silence is the loudest market signal. Kimi’s quick response—a clear denial and a call to report—shows that the company understands the stakes. But the silence before the statement, the period when the fraud was active, is the true signal of a systemic weakness. Trust is a luxury good in a digital world, and it is becoming increasingly expensive.
Takeaway: Positioning for the Next Cycle
So what does this mean for the cycle? In a bull market, scams proliferate like weeds. The Kimi case is a reminder that even non-crypto companies are vulnerable to the same trust deficits. For investors, the takeaway is clear: verify every channel on-chain. For companies, the lesson is to embed a public, verifiable fundraising identity into their operations. The next cycle will reward those who treat trust as a design problem, not a legal one. The question is not whether Kimi will be the last victim, but whether the market will demand a better architecture before the next wave of fraud arrives.