Alibaba, Tencent Lose $66 Billion as AI Hype Meets Reality Check

Shares of Alibaba Group and Tencent saw a combined $66 billion wiped off their market value in roughly 24 hours, as investors reacted sharply to the lack of a clear monetisation strategy for artificial intelligence.
Alibaba’s US-listed shares posted their steepest decline since October, while Tencent suffered its biggest drop in nearly a year. The sell-off followed recent earnings and updates that failed to outline how massive AI investments would translate into near-term revenue.
The market reversal comes after a wave of optimism earlier this month, when enthusiasm around new agentic AI platforms—such as OpenClaw-style tools—drove a rally in Chinese tech stocks. However, that momentum quickly faded as investors reassessed the sector’s fundamentals.
At the core of investor concerns is the scale of spending. Chinese tech giants are ramping up investments in data centres, talent, and AI model development, but without a defined path to profitability. While still smaller than the hundreds of billions being spent by US firms like Meta Platforms and Amazon, the rising costs are weighing on margins—especially amid a slowdown in China’s consumer economy.
Alibaba’s latest results intensified those worries, with the company reporting a sharp 67% drop in quarterly net income. Tencent, despite its strong ecosystem and access to vast user data through platforms like WeChat, also failed to provide concrete details on how it plans to monetise its AI capabilities.
Analysts say the issue is not the scale of AI investment itself, but the uncertainty around returns. Markets are now looking for tangible signs that AI can drive revenue growth—whether through cloud services, advertising, or transaction-based models. Until then, sentiment is likely to remain cautious.
Adding to the pressure, geopolitical tensions and global risk aversion have made investors less willing to bet on high-spending, uncertain tech plays.
Alibaba has pledged over $50 billion toward AI infrastructure and is targeting $100 billion in AI and cloud revenue over the next five years. It has also begun raising prices for cloud services and rolling out new AI products to boost monetisation. However, doubts remain over whether these ambitions can be achieved within the stated timeline.
With rising costs, intensifying competition, and macroeconomic headwinds, China’s tech leaders now face a critical test: proving that their aggressive AI push can deliver real financial returns.