Alibaba and Tencent lose $66 billion as AI profit plans disappoint

Alibaba (BABA) and Tencent (TCEHY) just wiped out $66B in market value in a single swing, and the reason is simpler than most people think.

They couldn’t answer one basic question.

How does AI actually make money?

That’s not some temporary dip you ignore. The market drawing a line and saying hype isn’t enough anymore.

Both companies are running into the same wall every AI player is facing right now. Spending billions is easy. Turning that into real returns is a lot harder.

Investors didn’t sell because AI is broken. They sold because management couldn’t show where the profits show up or how long it takes to get there.

This wasn’t about AI, but capital allocation.

Every dollar going into AI has to compete with something else. That includes buybacks, dividends, or just sitting on the balance sheet. Tencent already hinted it may pull back on buybacks to fund AI. Alibaba is going even further, committing about $53B over the next three years. That kind of spending fits into a much bigger pattern, with tech giants planning up to $700 billion for AI infrastructure in 2026.

That sets a very high bar.

At a 10% cost of capital, that $53B needs to generate roughly $5.3B in extra after-tax profit every year just to break even. That’s before investors give any credit for future upside. If management can’t clearly explain how they get there, the stock gets hit. Fast.

And that’s exactly what happened.

Alibaba lost about $23B in value. Tencent dropped around $43B. This came right after earnings calls that talked a lot about AI agents, cloud growth, and long-term vision, but didn’t spell out when cash flow actually improves.

That gap is what spooked investors.

What makes this more interesting is the timing. Both stocks had been riding a wave of AI optimism, driven by excitement around new agent-style tools coming out of China and the country’s broader policy push into frontier technologies like AI and quantum in its new five-year plan.

Now that excitement is running into financial reality.

Alibaba’s net income already fell 67% last quarter, even as it ramps up spending. It’s targeting $100B in AI and cloud revenue within five years, but that’s still a projection, not cash in hand. Tencent has massive distribution through WeChat, but it still hasn’t shown how that translates into near-term revenue from AI.

The disruption behind the news: The market is no longer rewarding AI ambition. It’s demanding AI earnings.

This is the moment AI shifts from story to spreadsheet.

And most companies aren’t ready for that transition.

The market just made that clear.

AI is entering a heavy spending phase. Data centers, chips, and talent cost billions upfront while revenue comes later. That gap is now visible. Investors are no longer rewarding participation. They want conversion. If a company spends $10B, investors want to see a path to more than $10B coming back. Not just more users or engagement.

The problem is structural. AI agents don’t yet have a proven pricing model at scale. Consumers expect them to be cheap or free. Businesses want to see productivity gains before they pay. That creates a timing mismatch. Costs hit now. Revenue builds slowly. That’s what’s hurting confidence in Alibaba and Tencent. It also explains why so much attention is landing on products like OpenClaw and the question of how disruptive it really is.

There’s also regional pressure. China’s consumer slowdown is squeezing margins in core businesses like ecommerce and gaming. That means AI is being funded while the base business is under pressure, not from a position of strength.

The market is starting to separate AI winners from AI spenders. Right now, Alibaba and Tencent look like spenders.

What to watch next

Watch revenue per AI user, not user growth.

Watch capex as a percentage of revenue.

Watch pricing power in cloud and enterprise AI.

Alibaba raising cloud prices by up to 34% isn’t random. This is a test to see how much customers are willing to pay. If they accept it, margins go up. If they push back, then the AI payoff takes longer to show up.

Tencent has an edge with WeChat distribution. If it can turn AI tools into something people actually pay for inside everyday use, it could monetize faster than rivals. But that only works if execution is fast and the products are clear, not just demos.

Here’s the number to watch. Alibaba is targeting $100B in AI and cloud revenue within five years. That means roughly doubling from here. If that growth doesn’t start showing up over the next 6 to 8 quarters, expect more sharp selloffs.

The next phase of AI isn’t about who builds the best model, but who gets paid first.

Right now, the market isn’t interested in promises. It wants proof. And companies that can’t show it will keep getting punished, no matter how big their AI ambitions sound. P.S. Did you know that AI stocks may be resilient to the Iran war?