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China’s tech funding divide faces test as fears of an AI bubble rattle markets

For Jason Wang, a media operator based in Zhengzhou in central China’s Henan province, switching his long-held investment strategy of buying gold to tech-themed funds was a bittersweet decision. The 28-year-old retail investor, who has no idea about tech company fundamentals, started buying tech funds – focused on China’s semiconductors, robotics and similar sectors – at the end of last year amid…

China’s tech funding divide faces test as fears of an AI bubble rattle markets

China's tech funding landscape faces a crucial test as fears of an AI bubble cause market instability, affecting both retail investors and industry professionals. Jason Wang, a 28-year-old retail investor from Zhengzhou, experienced an emotional rollercoaster as his semiconductor funds surged to 170% before plummeting to 10%. Industry insiders and professional investors, who have been investing heavily in AI, semiconductors, and robotics companies, share similar concerns about market turbulence.

The Star 50 Index, tracking leading technology firms in Shanghai, dropped nearly 50% from its June peak, while Hong Kong's Hang Seng Tech Index fell 11.7% in October, marking a 32% loss for the year.

The tech industries in both the US and China have enjoyed high valuations, but the current downturn has brought both regions to the same fears of an AI bubble. The US tech sector has withstood previous boom-bust cycles, including the dotcom bubble and the 2008 financial crisis, while China's tech industry is still too young to have experienced those fluctuations. Analysts warn that the current storm will reshape funding dynamics across the Chinese landscape, as competition with the US increases.

Chelsey Tam, a senior equity analyst at Morningstar, predicts that current market conditions will make it harder for Chinese tech firms to raise capital through IPOs or private investments. However, she suggests that companies should still consider tapping capital markets if their valuations are fair or still overvalued after the share price decline.

Ivan Su, Morningstar's director of equity research, observes a "crowding-out effect" where capital providers prefer backing AI initiatives in cash-generative incumbents over loss-making start-ups.

A state-backed venture capital company in Beijing has already stopped backing consumer-facing AI agent start-ups, focusing instead on business applications with clear revenue paths. The sell-off is also affecting early-stage, highly valued, and cash-burning hard-tech companies, extending funding cycles from three months to up to a year.

Despite the current sell-off, Lin Jie, managing partner at Fuzhou-based Pioteer Investment, believes the market is undergoing a "healthy correction" following a sharp rally in technology stocks. He emphasizes that long-term trends such as AI infrastructure expansion and semiconductor self-sufficiency remain intact.

Written by urgent.news from SCMP Tech's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at scmp.com →

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