You bought the GPUs. You launched the large models. You stood on stage and told the world your company is ‘All in AI.’ And how did the market reward you? By aggressively selling your stock.
If you’ve watched the recent earnings cycle of China’s top internet giants, you’ve noticed a brutal trend. Tencent, Alibaba, Baidu, Kuaishou, and NetEase all reported earnings. All of their stocks dropped. They have the models, the AI clouds, and the viral applications, yet Wall Street couldn’t care less.
The moment ‘having AI’ became an industry-wide baseline, it lost its valuation premium.
Two years ago, buying a pile of chips and announcing an AI strategy was enough to boost your stock price. The market was terrified of who might miss the boat. But that question has been answered. Everyone is on the boat now. So, the market is asking a much more dangerous question: What has AI actually changed about your company?
When you look closely at the financials, a provocative truth emerges. We’ve been told that AI is a rising tide that will lift all boats. That’s a lie.
AI is not a reset button that levels the playing field. It is a magnifying glass that exposes your structural flaws and amplifies your existing advantages.
Look at Tencent. They are a massive cash machine. AI is genuinely improving their ad targeting and gaming revenue. But their capital expenditures skyrocketed by 176% in a single quarter to pay for AI infrastructure. Investors aren’t looking at the AI revenue; they are looking at the massive hole in their free cash flow. AI is simultaneously enhancing Tencent’s business model and destroying its capital return model.
Then there’s Alibaba. They have arguably the clearest AI commercialization path with their cloud infrastructure. AI product revenue has been growing at triple digits. But their capex also surged 75%. The market used to worry Alibaba would miss the AI wave. Now, they are terrified because Alibaba is taking AI too seriously, dragging the company back into a massive reinvestment cycle just when it had learned to prioritize profits.
Baidu faces an even darker reality. Their core AI business revenue grew 25%, which sounds great. But their traditional search ad revenue dropped 19%. They aren’t adding a new growth engine; they are desperately trying to replace a dying one. The brutal question for Baidu is whether the new AI business can grow faster than their legacy business is rotting.
Kuaishou offers the cruelest lesson of all. Their AI video model, Kling, is a massive hit. Revenue from Kling grew over 200%. It’s a genuine breakthrough. But the parent company’s overall revenue grew just 1.4%, and profits fell. The stock tanked.
A cool AI product that grows 200% cannot save a legacy business growing at 1%. ‘Good’ is not the same as ‘large enough to change the company’s trajectory.’
And then there’s NetEase. They are the contrarian heroes of this cycle. They use AI to generate art, write code, and make NPCs smarter. It reduces costs and boosts efficiency. But they refuse to rebrand themselves as an ‘AI company.’ They know that at the end of the day, a game succeeds because of gameplay, content, and aesthetics. AI is just a tool to make those better.
Sometimes, refusing to let AI become the main character of your story is the smartest strategic move you can make.
This is the reality check the tech industry desperately needs. AI is not going to save a bad business model. It is not going to magically fix a broken capital structure. It will just make your existing problems bigger and more expensive to ignore.
The narrative phase of AI is dead. The market has returned to the oldest, most ruthless questions in business: Is your underlying business actually good? Can you turn this technology into real revenue and profit? And exactly how much of your soul are you burning to get there?
AI is no longer a lottery ticket. It’s a tax on companies too afraid to face their own reality.
FAQ
Q: If AI doesn't boost stock prices, should companies stop investing in it?
A: No. The market is punishing the *narrative* of AI, not the necessity of it. Companies must invest in AI to survive, but leaders need to stop expecting a valuation premium just for spending money on GPUs. The focus must shift to integration and ROI.
Q: What is the practical takeaway for executives right now?
A: Stop treating AI as a standalone savior. If your core business is leaking cash, AI will just make you burn it faster. Fix your foundational business model first, and use AI as a tool to amplify existing strengths rather than trying to build a completely new identity around it.
Q: Is the market being too short-sighted by punishing long-term AI investments?
A: Perhaps, but the market is rightfully skeptical of massive capex without a clear path to monetization. Investors have seen this movie before. They no longer buy the 'build it and the revenue will come' pitch. They want proof that the new engine can outpace the old one before they commit their capital.