Over the past 72 hours, I have been staring at a data point that feels less like a market signal and more like a collective scream from the trading floor. It is not about a token, and it is not about a rug pull. The record short bets piling up against Zhipu AI and MiniMax are not just financial positions. They are a verdict on the entire narrative of Chinese artificial intelligence. I have seen this before. In 2017, it was Ethereum mania. In 2020, it was DeFi yield. Now, it is the large language model wars, and the shorts are telling us something we do not want to hear. Trust is the only asset that survives the crash, and right now, the market is telling us that trust in these names is a liability.
The first question I ask myself when I see a headline like this is not about the prediction. It is about the structure. The report from Crypto Briefing is thin, almost frustratingly so. It gives us the core fact—record short interest against Zhipu AI and MiniMax—but it leaves the technicals, the business models, and the actual competition in the dark. This is the classic setup of a market narrative driven by sentiment, not by substance. But here is the thing about sentiment: it does not move capital alone. It is the shadow of fundamentals. So, when I see these shorts, I do not see a prediction. I see a summary of what the smart money has already discovered.
To understand this, we have to strip away the hype and look at the unit economics of an AI company. These firms are not miners. They do not have a commodity they can hedge. They have a product—the model—and they have a cost—the compute. In the current narrative, the market is obsessed with the price war. Zhipu and MiniMax are fighting a battle for API pricing against giants like Baidu, Alibaba, and ByteDance. The shorts are betting that this battle is a losing one for the challengers. The logic is simple. If you are the number four or five player in a market where the number one player can afford to give away the product for free, you are not a competitor. You are a target.
This is where I start to feel the ghost of my own scarred trading history. In 2020, I was managing a community pool in Curve Finance. When the sETH/ETH pool experienced unexpected slippage due to oracle manipulation, I had to make a split-second call. We pulled our funds before the exploit was fully public. We saved 85% of the capital, but the cost was the constant anxiety of knowing the market structure was fragile. That experience taught me a rule. Every scar in the market teaches a new rule. The scar here is the assumption that technical superiority equals commercial resilience. In 2020, I learned that a protocol could be technically sound and still be drained. In 2025, I am looking at Zhipu and MiniMax and asking whether they are technically sound but commercially starved.
So, what is the actual core of this short squeeze narrative? It is not about AI at all. It is about the cost of compute. Let me break this down for you, because the financial press does not do it. Training a frontier model requires thousands of high-end GPUs. The cost is in the hundreds of millions of dollars. But the marginal cost of serving a query is where the real war is fought. In a price war, you cannot undercut your competitor unless you have either a massive subsidy from a parent company or a drastically lower cost of serving. The giant tech firms have the first. They can burn cash for years. Zhipu and MiniMax have neither the capital reserves nor the guaranteed revenue streams to absorb a prolonged price war. The short sellers are not betting on a technical failure. They are betting on a cash flow failure.
Here is the contrarian angle that the market is missing. The short positions are so large and so public that they are starting to smell like a consensus trade. When a trade becomes consensus, the risk is not in the direction of the trade. It is in the reversal. The shorts are betting on the collapse of these companies. But what if the collapse does not come? What if Zhipu and MiniMax are doing what I did during the Terra Luna collapse? What if they are using this pressure to double down on transparency and efficiency? I built my community by hosting live town halls in Lagos during the chaos of 2022. I did not hide. I showed the losses and I showed the plan. The trust that was built from that transparency was the only reason I survived.
The shorts are betting on anxiety. But the history of markets shows that anxiety is not a permanent state. It is a gap between an event and an expectation. The event here is the price war. The expectation is that these firms will die. But what if the price war forces them to become leaner, more focused, and more specialized? That is the "hiding in plain sight" play. The retail narrative is that they are doomed. The smart money is shorting them because they are overvalued. But there is a layer of the market that is waiting for the capitulation event. They are not buying yet, but they are watching.
The signal I am tracking is not the short interest. It is the next round of financing. If Zhipu and MiniMax can secure a massive round of funding at a stable valuation, the short thesis is broken. If they cannot, the market is right. In my copy trading community, I have a simple rule. We do not follow the P&L. We follow the trust. Transparency is the shield against the next bubble. If these companies are honest about their burn rate and their path to profitability, they can survive the bear. If they are hiding the damage, they will not.
Now, let me talk about the regulatory and structural landscape. The short sellers are not just trading against the company. They are trading against the entire Chinese tech narrative. The institutional shift towards domestic AI is a massive tailwind, but it does not always translate into business success. The government can provide subsidies and contracts, but it cannot buy the efficiency of the market. The shorts are betting that the state cannot protect these companies from the harsh reality of global compute competition.
The gold here is the opportunity for the developers. The price war is a gift to the application layer. If Zhipu and MiniMax are forced to slash prices, every downstream SaaS product, every gaming AI, every content generation tool just got a massive subsidy on their cost structure. As a trader, I look for the beneficiaries of the chaos, not the victims. The victims are the ones with the high fixed costs. The beneficiaries are the ones with the variable costs that just went down.
But let me go back to the data. I want to see the open interest breakdown. Are these short bets coming from high-frequency traders looking for a quick scalp, or are they coming from long-term macro funds betting on a geopolitical shift? The article does not tell us. The distinction matters. Short-term flow can be squeezed. Long-term thesis requires a fundamental change. I would be watching the put-call ratios. If we see a spike in out-of-the-money puts, that is panic. If we see a steady accumulation of short stock, that is conviction. The difference is the difference between a two-week bounce and a two-year bear.
Let me connect this to my own analytical framework. When I built my sentiment analysis tool for the ASI token narrative, I did not just track the chatter. I tracked the on-chain data. I tracked where the money was moving. I am doing the same here. I am not reading the press release. I am reading the term sheet. The market is speaking, and the message is one of consolidation. The era of the free lunch is over. The era of the "moat" is beginning. The moat is not the algorithm. The moat is the unit economics. Zhipu and MiniMax need to build a moat that is not made of hype.
Let me address the potential "death spiral." The short pressure is not the end game. The end game is the funding round. If the valuation is marked down in the private market, the employees morale will suffer, the top talent will leave, and the technology will stagnate. This is the spiral. This is the risk. But again, the market is not always right. In 2022, everyone was shorting Luna. They were right. But in 2020, everyone was shorting the DeFi protocols after the oracle exploits. They were partially wrong. The protocols that survived, like the ones that actually audited their code, came back stronger.
So, what is the takeaway? This is not a call to buy. It is a call to watch. The AI market is a macro bet. The shorts are loud. They are pointing to a specific structural flaw: the inability of the mid-tier AI companies to sustain a price war. But the market is also a discounting mechanism. The record short interest means the pessimism is at a historical peak. The greatest risk is not the collapse. The greatest risk is the "short squeeze" that happens when a company that everyone believes is dead comes back with a new contract or a new model that changes the unit economics. We must be ready for the volatility, not the certainty.
In the long run, the market will not reward the most powerful model. It will reward the most transparent balance sheet. The AI bubble will not burst because the technology fails. It will burst because the accounting fails. The shorts are not evil. They are the market's way of demanding the truth. Let us look at the truth. The truth is that we are in a "sell the news" event. The news was the massive funding rounds. The news is the "price war." The sell is the realization that the "war" is not about the tech. It is about the money.
We walk away from greed, we stay for trust. I trust that the data will eventually be clearer. I trust that the development teams will adapt. But the trust does not come from the hope. It comes from the forensic analysis. We have to analyze the code, the cost, and the capital. We have to be the auditor, not the fan. If the shorts are correct, they will make money. If they are wrong, the opportunity will be massive. The key is to not be on the wrong side of the truth.
And the truth is still hidden. The shorts have the volume, but they do not have the final verdict. The verdict comes from the earnings reports. The verdict comes from the customer renewal rates. The verdict comes from the code. We must wait, and we must verify. We protect the flock, not just the profits. The flock is the developer community. They are the ones building on these platforms. They are the ones who will lose if the platforms fail. But they are also the ones who will save the platforms if they are transparent. The future is not written in the short interest. It is written in the next block of the data.
So, the next time you see a headline about "record shorts," do not panic. Ask yourself what they are seeing. Then ask yourself what they are missing. The crowd is always loud, but the truth is quiet. I am going to listen to the quiet. The data is not in the price. It is in the structure. And the structure is telling me that the market is about to turn. Not in the direction of the shorts. But in the direction of the truth. And the truth is that the AI war is not over. It is just beginning to be efficient.