Surging AI Spending Puts Chinese Tech Giants' Profitability to the Test
Claire Weston
US and Chinese tech giants are pouring billions into AI infrastructure, but markets are now asking the same question on both sides: when does the spending start earning its keep? The race is shifting from model capability to capital efficiency.
Why did US markets turn skeptical first?
Meta posted $60.8 billion in Q2 revenue, beating estimates — yet the stock fell roughly 8% after hours. The reason: AI spending kept climbing while free cash flow shrank.
Alphabet went further — quarterly free cash flow turned negative for the first time, because AI capex outpaced the period's revenue gains.
This means → even rising revenue cannot shield a stock when cash is going out faster than it comes in. That is the root of the "AI bubble" anxiety.
How is the pressure different for China's tech leaders?
Alibaba, Tencent, and other top platforms are ramping up capex fast, competing on two fronts — domestic rivals and US counterparts.
According to the *South China Morning Post*, the battleground has shifted from "whose model is stronger" to "whose money is better spent" — capital efficiency and return on investment.
In plain terms = the race used to reward speed; now it rewards endurance. The burn phase is giving way to the payback phase.
Are there any signs of payoff yet?
Latest quarterly results from Alibaba and Tencent show early commercialization signals in their AI products, offering markets some reassurance.
But "early signals" and "scaled profitability" are far apart — whether these companies can close that gap is the central uncertainty in valuing Chinese tech stocks.
This means → near-term earnings can steady sentiment, but the real driver of share prices will be whether AI revenue can outgrow AI spending over the next few quarters.
What metrics should investors watch?
The most direct signal is free cash flow — US peers have already demonstrated that revenue growth cannot mask cash-flow deterioration.
Next is the quarter-on-quarter change in AI-related revenue share: if AI revenue gains start approaching or covering AI capex gains, commercialization is accelerating.
This reflects a deeper shift: the market's attitude toward AI has moved from "how much did you invest?" to "how much did you earn back?" That pivot applies to tech stocks on both sides of the Pacific.
Content is for reference only, not financial advice.