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Baidu reports fifth straight quarterly revenue decline as it ramps AI spending

Baidu recorded a fifth consecutive quarter of falling revenue as it sharply increased capital expenditure to support an "AI-first" strategic shift.

Baidu reports fifth straight quarterly revenue decline as it ramps AI spending

Chinese search giant Baidu on Tuesday reported a fifth straight quarter of falling revenue, triggering a decline in its share price. The company has simultaneously stepped up investments in artificial intelligence to keep pace with domestic rivals.

Pivot to an "AI-first" company and higher capital expenditure

Baidu's CEO described the company’s strategic shift toward becoming an "AI-first company." As part of that move, Baidu tripled its quarterly capital expenditure, directing much of the money into compute capacity and related infrastructure.

A two-pronged competitive challenge

Bloomberg characterized Baidu as facing a "two-pronged existential fight." The company is losing advertising share to ByteDance and Alibaba, a trend only partially offset by growth in its cloud business. At the same time, Baidu’s Ernie language model is said to lag behind open-weight offerings from AI firms such as Moonshot and DeepSeek.

Market reactions and risk assessments

Baidu’s heavy AI spending reflects broader market concerns about the costs of major AI investments. Bank of America noted that Nvidia’s stock could be trading at up to a 50% discount and suggested investors may be "overstating the risks" associated with the U.S. chipmaker’s AI investments.

Why this matters

Baidu’s situation highlights industry-wide tensions as Chinese tech firms compete for advertising revenue and leadership in AI foundational models. While higher spending aims to strengthen Baidu’s long-term technological position, it has produced short-term financial pressure and market uncertainty.

Summary

Baidu’s strategic shift and sharply increased capex are intended to accelerate its move to an "AI-first" orientation, but the company continues to face declining revenues and strong competition in both advertising and model development. Market participants differ in how they assess the risks of large AI investments, as reflected in divergent views on valuations such as those for Nvidia.