Alibaba CEO Dismisses AI Bubble Fears, Plans Aggressive Investment
Alibaba CEO Rejects AI Bubble Concerns, Vows Investment

In a bold move that sets him against growing skepticism in the tech world, Alibaba Group CEO Eddie Wu has firmly dismissed concerns about an artificial intelligence bubble forming in the global market. The executive declared his company remains committed to aggressive AI investment despite warnings from industry peers about potential irrationality in the sector.

Diverging Views on AI's Future

Wu's confident stance comes as a direct contrast to cautions voiced by Google CEO Sundar Pichai, who recently warned that no company would escape the impact if an AI bubble bursts, drawing parallels to the dotcom era collapse. While Pichai expressed concerns about whether massive infrastructure spending can deliver returns quickly enough, Wu presented a completely different perspective to investors.

"We don't really see much of an issue in terms of a so-called AI bubble," Wu stated emphatically, highlighting that Alibaba's adoption is driven by genuine business needs across manufacturing and product development rather than market speculation.

Alibaba's Strong Performance Amid Challenges

The Chinese tech giant's confidence appears well-founded based on recent performance metrics. The company's Qwen application achieved a remarkable milestone of exceeding 10 million downloads within just one week of its launch. This overwhelming response has created supply challenges that the company is struggling to meet.

"We're not even able to keep pace with the growth in customer demand," Wu admitted during investor discussions. He predicted that AI resources will remain in short supply for the next three years, justifying the company's continued heavy investment in the sector.

Alibaba's financial results for the September quarter showed revenue of $34.8 billion, representing a 5% year-over-year increase. However, the company's net income saw a significant 53% drop, primarily due to substantial spending on AI and commerce initiatives. The cloud division emerged as a standout performer with 34% growth driven largely by AI-related products.

Massive Investments and Internal Divergence

Wu suggested that Alibaba's previously announced plan to invest 380 billion yuan in AI over three years "might be on the small side" given the current market opportunities. This bullish position notably contradicts concerns raised by Alibaba Chairman Joe Tsai, who warned back in March about seeing "the beginning of some kind of bubble" in the rush to build data centers.

The debate around AI investment rationality has intensified across global tech hubs. Analysts point to approximately $1.4 trillion in deals involving OpenAI, despite the company expecting revenues this year of less than one-thousandth of the planned investment. This disparity has raised concerns about a potential repeat of the late 1990s dotcom crash, which triggered widespread job losses and damaged pension funds.

Pichai highlighted additional challenges, noting that AI's energy needs accounted for 1.5% of global electricity consumption last year. He admitted that Google faces difficulties meeting its 2030 net-zero climate targets due to AI's immense power requirements.

The fundamental disagreement between optimists like Wu and skeptics like Pichai reflects broader uncertainty across Silicon Valley, where Big Tech firms are expected to spend $320 billion on AI infrastructure this year while grappling with unanswered questions about when—and whether—these massive investments will ultimately pay off.