Hang Seng Tech Slides Sharply as China's AI Ambitions Get Cheaper by the Hour
Hong Kong's morning began with a sell-off. The Hang Seng Tech index fell 1.06%, with semiconductors and software the biggest laggards. SMIC and Alibaba are each down about 2% and Bilibili a full 4%, leaving the market to ask whether this is a temporary correction or the start of a prolonged slide. For the AI industry, it is a warning sign: stable chipmakers are the foundation for training new models. One sector stands out against the broad decline. In electrical equipment, GCL Technology managed to gain 5%, a reminder that power for data centers is still in demand.
AI-processed from 36Kr (36氪); edited by Hamidun News
Investors' morning coffee in Hong Kong tasted bitter today. The open was a cold shower for anyone who believed in unclouded growth for the East's tech sector. The Hang Seng index slipped 0.82%, but the real blow landed on the tech core: Hang Seng Tech plunged 1.06%. These are not just numbers on a board. They reflect how the market prices risk in an industry that was supposed to be the locomotive of the new economy.
The heaviest hit fell on the foundation of any artificial intelligence: semiconductors. When giants such as SMIC and GigaDevice lose 2% to 4% of their value within minutes, it sends a clear signal to the whole supply chain. SMIC sits on the front line of the technological standoff, and any volatility in its shares hits China's hopes for chip independence. Without stable chip production, talk of sovereign neural networks remains just talk in ministry corridors. Investors appear to be doubting that the current pace of import substitution justifies the inflated valuations of these companies.
Platform giants are faring no better. Alibaba, Meituan and Kuaishou fell in sync by more than 2%. That is especially painful for Alibaba, given its aggressive bet on cloud computing and on integrating the Tongyi Qianwen model family into all its services. When cloud stocks creep down, it often means the market does not see quick monetization of AI deployments. Bilibili's drop of more than 4% hints at cooling interest in consumer AI services and in the advertising market that feeds the creator economy.
Against this backdrop, the rise in electrical equipment looks deeply ironic. While software and chips get cheaper, GCL Technology adds a sizable 5%. The market seems to remind us of a harsh reality: training models takes not only algorithms but also a gigantic amount of electricity. Hardware can fail and software can be overvalued, but demand for power infrastructure for data centers remains consistently high. It is an important wake-up call for those who look only at code and forget the "wall socket" the servers are plugged into.
Why now? We are watching a classic repricing of expectations after a period of euphoria. Chinese tech giants are caught between the hammer of regulatory pressure and the anvil of the colossal R&D investment needed to chase OpenAI. The current drawdown is not the death of the industry but rather a moment of truth, when speculative capital exits and leaves room for those prepared to play the long game. The only question is how deep the bottom will be before the market finds a new footing.
The bottom line: the market has stopped taking the AI miracle on faith and started demanding financial resilience. Can SMIC and Alibaba prove their efficiency while the index falls, or is a "bubble 2.0" ahead?
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