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Chinese tech giants Alibaba, Tencent, and Baidu sharply increased AI capital expenditure (capex) in Q2 2026, with combined spending jumping 105% YoY to 126 billion yuan ($19 billion). Jefferies warned that US cloud providers face greater sustainability risks due to higher capex-to-revenue ratios, as their infrastructure investments outpace revenue growth.

Chinese tech giants Alibaba, Tencent, and Baidu drove a 105% YoY surge in AI capital expenditure to 126 billion yuan ($19 billion) in Q2 2026, fueled by rising demand for AI inference workloads and improved access to advanced chips. Jefferies highlighted that while China’s spending remains less intensive relative to revenue, US cloud companies face higher risks due to elevated capex-to-revenue ratios. In Q2 2026, Chinese cloud companies’ capex reached 176% of cloud revenue, compared to 130% for US peers.

The brokerage attributed the spike to strong inference demand and purchases of Nvidia’s H200 chips, with Chinese firms estimated to have bought 200,000 H200 chips ($8–9 billion) during the quarter. Alibaba, Tencent, and Baidu likely spent $5–6 billion on these chips, accounting for 55–65% of their sequential capex growth. The remaining $3–4 billion was directed toward domestically produced chips, with Huawei positioned as a key beneficiary.

Jefferies emphasized that capex intensity—measured as capital expenditure as a percentage of revenue—remains lower in China. Over four quarters, Chinese cloud companies spent 111% of revenue on capex, compared to 119% for US providers. However, the US gap widened further, with capex-to-sales ratios reaching 33% for US firms versus 25% for China. The brokerage warned that ratios above 100% signal potential inefficiencies in monetizing AI infrastructure.

For US cloud providers, the challenge lies in converting closed-source AI models into sustainable revenue streams. While US hyperscalers like Amazon, Microsoft, and Google saw capex-to-sales ratios rise to 27%, their infrastructure investments outpaced revenue growth by 30% in Q2 2026. Jefferies noted that China’s reliance on foreign chips and domestic alternatives creates divergent investment dynamics, with immediate benefits for Nvidia and long-term opportunities for Huawei.

Investors should monitor whether capex growth outpaces cloud revenue over multiple quarters, as well as utilization rates of new AI infrastructure and the ability of paid AI services to generate returns.

China’s AI capex surge reflects strong inference demand and chip availability, but US cloud companies face greater sustainability risks due to higher capex-to-revenue ratios and closed-source models. The key uncertainty is whether US hyperscalers can convert infrastructure investments into proportional cloud revenue, while China’s reliance on foreign and domestic chips shapes its competitive trajectory.

Topics: AI Capital Expenditure, Cloud Computing, Tech Industry, Financial Markets, Investment Analysis, Chip Sales, US-China Tech Competition

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Source: ET Markets