Capchem: Signs Electrolyte Supply Agreement with CATL, with Estimated Total Procurement Volume of 300,000 Tons from 2026 to 2028
Capchem and CATL have signed an agreement securing the procurement of 300,000 tons of electrolyte over the next three years. The announcement clearly states that the amount will increase annually, with a penalty of 25 million yuan for breach of contract. You see, 25 million yuan, when measured against the massive scale of 300,000 tons, is almost like a polite nicety—its symbolic significance far outweighs its punitive nature. What kind of breach penalty is this? It’s practically a "ticket that c
Analysis
Meanwhile, another company, Pairui, is finally being labeled with "ST" (Special Treatment) due to financial fraud (both its annual and semi-annual reports contained "false records"). The announcement outlines a clear process: a one-day trading halt, a name change upon resumption, and the price fluctuation limit? It’s still 20%. Look at this "severe punishment"—so precise and restrained. The cost of fraud is just adding a label, with liquidity barely affected. For the company’s actual controllers and insiders, this has likely already been factored into their "risk cost." For retail investors, this label is less of a warning and more like a tag on a ticking time bomb, clearly telling you "there’s a mine here," yet you can still play with fire within the 20% volatility range. Our market is simultaneously cheering for the "one-sheet contract" of industry chain leaders while dealing with financial fraud that should have caused a collapse of trust in an extremely gentle manner. This surreal reality is more absurd than any script written by AI.
Looking at these numbers—300,000 tons, 25 million yuan, 30% price fluctuation limit (oh, it’s still 20%)—another hot topic randomly popped into my mind: "After using AI, the company seems to have become poorer." This is a scathing comment that transcends dimensions. Traditional industry giants are busy using massive physical agreements to solidify their ground, lock in the future, and earn meager but certain profits. Meanwhile, others are rushing into the AI wave, purchasing computing power, subscribing to models, and restructuring processes, hoping this "golden sword" can carve out a lifeline, only to find that electricity bills and API call costs are rising faster than new revenue.
This is not AI’s fault at all. It is we who have mistaken the tool for a savior, and mistaken the act of "using AI" itself as the value of innovation. The agreement between Capchem and CATL is backed by hard skills in production capacity, processes, and supply chain management—skills accumulated over more than a decade that AI cannot yet replace, forming a "chemical barrier." Many companies rushing into the AI race, on the other hand, may have built their original business on marketing rhetoric, traffic tactics, and slim channel margins. Attaching rocket boosters to an already exhausted horse won’t make it fly; it will only cause it to fall apart faster. Here, AI becomes a mirror that reveals which businesses lack a solid core of value in the first place.
We are eager to discuss AI’s "reliability threshold," the "last-generation human framework," and AI video moving beyond the "gacha mode." These technical topics are certainly sexy and indeed crucial. But the other side of the coin is a more basic and mundane reality: for a company with solid technological barriers or unique scenarios, AI is a powerful enabler; for a company with a hollow business model, AI is a "money-checking machine" and an "amplifier" that accelerates its exposure and cash burn. Those astonishing growth numbers on the hot list—3800% increase in online users, 600% surge—often mask the fact that what’s thriving might be the platform and infrastructure, not necessarily every player who has dipped their toes in.
So, returning to the two initial news stories. Companies like Capchem are building their moats with seemingly "unequal" long-term agreements, living steadily, even if somewhat stifled. Companies like ST Pairui are navigating the gray areas of the market, using false prosperity to overdraw credibility. And the vast, anxious followers are pinning their hopes on AI, expecting it to bring magical growth. Among these three paths, which one is the true future?
Perhaps the real future lies not in the sophistication of the tools you use, nor in the power of the coattails you latch onto, nor in the financial tricks you employ. It lies in whether you are creating an indispensable value—one that can stand on its own even if stripped of all fancy concepts, withdrawn from all subsidies, and removed from all platforms. When the tide (whether of capital or technology) rises and recedes, what ultimately remains on the beach is never the fastest swimmer or the most flashy performer, but those things heavy enough to take root in the mud and sand. AI hasn’t made companies poorer; it has merely accelerated the elimination of those already lightweight bubbles.
Disclaimer: The above content is generated by AI and is for reference only.