Alibaba Group’s quarterly revenue jumped 9% year over year to RMB268.95 billion, but its net income dropped nearly 75% to RMB10.54 billion, which was the number moving markets. The Alibaba AI spending profit decline is not an indicator of a business slowdown, as the company attributed its primarily to increased investments in AI infrastructure through capital expenditure, which rose 75% to RMB67.68 billion.
Stability in revenue growth was echoed in all reporting, with Bloomberg, CNBC, TechNode, and Caixin Global publishing their coverage within a single day of release: profit growth picked up the slack as the cost of a ‘rushing’ AI investment. Meanwhile, Alibaba’s AI cloud and computing revenue increased by 45% year-over-year to RMB48.44 billion, while its revenue generated from AI-related products jumped by more than triple digits for the 12th consecutive quarter, at RMB12.38 billion. Put another way, the parts of Alibaba’s AI infrastructure capex that are growing fastest are the same parts that are gaining momentum. The investment isn’t just about the balance sheet; it’s about getting measurable traction.
Alibaba’s AI capex rise is a significant amount that B2B (business-to-business) tech buyers and investors need to sit with. The amount of RMB67.68 billion in a single quarter is equivalent to $9.4 billion at current exchange rates, which is what Bloomberg rounded to in its own headline, $10 billion, and puts Alibaba firmly in a race for AI investments taking place across the broader Chinese space alongside the likes of Baidu, Tencent and ByteDance, who’ve all announced increased investment in AI over the last year.
Furthermore, Alibaba reorganized its e-commerce, cloud-computing, and AI-model units into separate operating groups as part of the restructuring, indicating that AI is not just another business initiative thrown under the radar of the existing cloud business; it’s a strategic priority in its own right, with its own reporting line.
The market’s reaction was mixed. Alibaba shares fell roughly 5% following the earnings release, according to CNBC, as investors weighed near-term profit erosion against long-term AI positioning. That reaction is familiar in the current cycle: cloud providers globally have faced similar scrutiny as AI infrastructure spending outpaces near-term returns.
B2BInside recently covered Lenovo’s Q1 revenue jump of 43% to a record $26.9 billion, driven by the same AI demand surge now pressuring Alibaba’s margins; the two stories are effectively two sides of the same trend, with AI infrastructure spending expanding across the supply chain, benefiting hardware makers even as it compresses margins for the cloud operators funding the buildout.
Alibaba is not spending in isolation. Rival Tencent posted an even sharper acceleration, with first-quarter capex reaching RMB31.9 billion, a 63% jump from the prior quarter, and Goldman Sachs projects Tencent’s annual capex will more than double by 2027 to RMB165 billion.
Alibaba, for its part, has effectively acknowledged it will exceed its own original three-year capex target of RMB380 billion, roughly $56 billion, for AI data center buildout, a target set before demand accelerated as sharply as it has this year. Alibaba’s leadership framed the urgency bluntly: the company said “there isn’t a single card on our service that is idle,” pointing to compute capacity constraints, not excess spending, as the real driver behind the capex increase.
Ultimately, whether Alibaba’s AI infrastructure capex pays off depends on how quickly its 45% AI cloud revenue growth can scale relative to the cost of the underlying compute. A 75% capex increase is not sustainable indefinitely without a corresponding acceleration in monetization, and Alibaba’s own results suggest awareness of this: AI product revenue has posted triple-digit growth for three consecutive years of quarters, a pace few competitors have matched.
Additionally, Alibaba’s results land amid a broader reassessment of AI capital spending across the technology sector, where investors are increasingly distinguishing between infrastructure investment that produces visible revenue growth, as Alibaba’s cloud and AI product segments currently show, and speculative spending without a clear monetization path. Alibaba’s AI cloud revenue growth gives it a stronger case than some peers currently facing the same investor scrutiny.
The company’s next earnings report will be the clearer test. If AI cloud revenue growth continues outpacing capex growth, the current profit drop will likely be read as a temporary, planned dip. If the gap widens instead, expect scrutiny on Alibaba’s AI spending to intensify.
