Chinese technology leaders Tencent and Alibaba are experiencing earnings pressure as they ramp up capital spending on artificial intelligence infrastructure.
This shift highlights a critical tension in the tech sector: companies must invest heavily in AI to remain competitive, yet these costs are straining profit margins before the full financial returns are realized.
Tencent reported that its revenue grew by nine% year-on-year [1]. Despite this growth, the company missed analyst expectations for the first quarter of 2026 [1]. Ma Huateng, CEO of Tencent, said, "We have made significant initial progress on new AI products" [1]. To sustain this momentum, a Tencent spokesperson said the company will boost its AI-related capital expenditure in 2025 [2].
Alibaba is following a similar trajectory of aggressive investment. The company previously set a capital expenditure target of $56 billion over three years [3]. However, the scale of the AI race is pushing those figures higher. Eddie Wu Yongming, CEO of Alibaba Group, said, "We are likely to overshoot our original capex target" [3].
The surge in spending comes as the broader Chinese tech sector races to build domestic AI capabilities. While AI demand is boosting some revenue streams, the massive cost of chips and data centers is creating a gap in immediate profitability [3].
Market sentiment remains divided on the sustainability of this spending. Some reports suggest that advances by companies like DeepSeek are sowing doubts about the long-term returns on such massive investments [4]. Conversely, other analysts suggest that the focus on AI infrastructure is driving a broader market rally as China ramps up its domestic chip production [3].
“"We are likely to overshoot our original capex target of US$56 billion over three years."”
The aggressive spending by Tencent and Alibaba signals a strategic pivot where market share and infrastructure readiness are prioritized over short-term quarterly profits. By overshooting expenditure targets, these firms are betting that the first-mover advantage in AI will outweigh the current margin compression, even as emerging competitors like DeepSeek challenge the efficiency of traditional high-spend models.
