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China’s AI stock rally has room to run as valuations lag US giants, Goldman Sachs says

AI stock rally is sustainable and tech shares will be driven by application-focused growth, chief China equity strategist Kinger Lau says

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China’s top 10 tech companies have a combined market capitalisation of US$2.5 trillion versus US$25 trillion for US companies. Photo: Shutterstock
Aileen Chuang

The artificial intelligence-led stock rally in China is far from a bubble, as the nation’s technology firms still have room to expand valuations and earnings through their focus on applications, according to Goldman Sachs’ chief China equity strategist.

China’s approach to investing more capital in AI applications as opposed to the US strategy of focusing on computing power gave investors “comfort that its AI monetisation capability could be better, at least in the short term”, Kinger Lau said in an interview on Thursday.

“The key question is how companies monetise the demand for AI-related products,” he said. “Relative to the US, Chinese companies focused on applications are still trading at much more reasonable valuations.”

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His remarks come amid growing jitters of a global AI bubble, with surging stocks and vast investments seemingly racing ahead of fundamentals. Optimism around China’s ascent as an AI superpower has intensified since start-up DeepSeek introduced efficient low-cost models and Big Tech firms launched new AI tools.
Kinger Lau, chief China equity strategist at Goldman Sachs. Photo: Dickson Lee
Kinger Lau, chief China equity strategist at Goldman Sachs. Photo: Dickson Lee

“China’s AI stock boom is far from a bubble from a valuation perspective,” Lau said. The top 10 tech companies in China have a combined market capitalisation of US$2.5 trillion, while their US counterparts are at US$25 trillion – a tenfold difference. These US companies also represent about 40 per cent of the S&P 500 market capitalisation, while their Chinese peers account for about 15 per cent of the broader group.

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“The AI story will play out in China,” Lau said. “The AI investment cycle, which is around 18 months behind the US, has more room to grow and translate into earnings and revenue growth.”

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