Analysis
Alibaba CEO Eddie Wu told investors the company's AI-related annualized revenue is on pace to reach $10 billion by September 2026, even as the company's latest quarterly results showed the cost of that buildout hitting the bottom line hard. Alibaba's June-quarter revenue rose 9% year-over-year, and cloud division revenue grew 45% to 48.4 billion yuan, with AI-related product revenue posting triple-digit growth for a twelfth consecutive quarter, CNBC reported. But net income fell 75% year-over-year, and Alibaba's US-listed shares dropped roughly 5% shortly after markets opened on the news.
The profit hit traces directly to capital spending: capex rose 75% year-over-year to about 67.7 billion yuan (roughly $10 billion), which the company attributed to uneven timing of customer purchases, expanded CPU-compute capacity, and higher prices across a broad range of chip components -- the same global chip price pressure that's shown up across the semiconductor supply chain this year. The AI ARR figure and the capex spike are two sides of the same bet: Alibaba is spending heavily now on the infrastructure it needs to hit that $10 billion AI revenue target, and investors are being asked to accept a 75% profit drop as the near-term cost of getting there.
“A 75% profit decline is a genuinely large number, not a rounding error investors should wave away as normal AI-buildout noise.”
The bigger number behind the quarter
The $10 billion AI ARR figure sits inside a much larger long-term commitment: Alibaba has pledged 380 billion yuan (roughly $53 billion) to AI infrastructure investment through 2027, and has set a public target of $100 billion in combined AI and cloud revenue within five years. Against that five-year target, $10 billion in near-term AI ARR is an early milestone rather than the destination, and this quarter's capex surge is consistent with a company still in the early, expensive phase of building out the compute capacity that target requires.
A 75% profit decline is a genuinely large number, not a rounding error investors should wave away as normal AI-buildout noise. Alibaba is making the same bet US hyperscalers have made -- that AI infrastructure spending today converts into durable cloud and AI revenue later -- but Alibaba operates with less capital flexibility than Amazon, Microsoft or Google, all of which can absorb multi-year capex surges against much larger overall profit bases. Whether Chinese enterprise and consumer demand for Alibaba's AI products scales fast enough to justify this capex pace before investor patience runs out is the real open question the stock's 5% drop is pricing in, not the technology story itself.