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HK AI and optical comms rally: Zhipu up 9%+, US software rebound lifts mood

HK AI and optical comms rally: Zhipu up 9%+, US software rebound lifts mood

TraderKnowsTraderKnows
02-09
Summary:HK AI apps and optical comms rebounded, with Zhipu, China Literature and Pony.ai higher. A bounce in IGV plus “pessimism is overdone” calls helped sentiment; brokers see long-run upside from agents and compute ecosystems.

Tencent Illustration

Hong Kong technology stocks saw a corrective rebound on Monday, with AI applications and the optical communication sector performing notably well. On the trading boards, Zhihu surged about 9% at one point, with increased strength also seen in China Literature, Pony.ai-W, and Heartbeat Network, indicating a clear recovery in market sentiment.

US Software Stocks' "Stop-fall Rebound" Spills Over, Leading with Sentiment Repairs

The warming sentiment in Hong Kong's tech stocks is supported by a rapid rebound in US software stocks last Friday: the iShares US Software ETF (IGV) rose over 3%, while the NASDAQ increased by more than 2%, serving as a marginal improvement "weathervane" for risk appetite.
Institutional opinions are also "cooling down"—some analysts believe that earlier market concerns about the software industry were overstated, as there has not been significant deterioration in core indicators like customer retention that would match the pessimistic pricing; the likelihood of enterprises fully switching to self-developed alternatives is also considered low.

Optical Communication Rises: The "Infrastructure" Logic of the Computing Power Chain is Traded Again

With the rebound in tech sentiment, optical communication stocks also showed significant strength: Yangtze Optical Fibre and Cable, Comba Telecom, and HJT Technology were among the top gainers. The market broadly interprets this as renewed attention to the infrastructure attributes of the "computing power–data–transmission" chain.

Catalyst Event: Pony.ai Partners with Moore Threads, Focusing on L4 Scaling and Training Optimization

On the individual stock level, Pony.ai-W's rise is related to collaboration news: the company has entered a strategic partnership with Moore Threads, focusing on the large-scale deployment of L4 autonomous driving, while jointly advancing training and optimization in the "World Model" and "Virtual Driver System"; the related solutions are based on the Moore Threads MTT S5000 training and inference integrated intelligent computing card and the "Kuae" intelligent computing cluster, emphasizing vehicle model training adaptation and validation.

Securities Firms' Perspective: AI Commercialization Shifts from "Traffic" to "Results," Agent Seen as New Growth Driver

Securities firms' research reports focus the mid- to long-term logic on "business model transition": the internet value chain is described as shifting from "competing for traffic size" to a new paradigm of "capability invocation, controlled governance, and result-based payment," with cloud platforms, computing power services, security governance tools, and content licensing mechanisms considered potential key sources of profit.
Meanwhile, upward revisions in revenue expectations for large model companies are used to reinforce the narrative that "the industry is still accelerating": Reuters cited The Information, reporting that Anthropic has raised its 2026 revenue forecast to as high as around $18 billion and anticipates reaching about $55 billion by 2027.

Business Cooperation Telegram Eng

Risk Warning and Disclaimer

The market carries risks, and investment should be cautious. This article does not constitute personal investment advice and has not taken into account individual users' specific investment goals, financial situations, or needs. Users should consider whether any opinions, viewpoints, or conclusions in this article are suitable for their particular circumstances. Investing based on this is at one's own responsibility.

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TraderKnows
Written byTraderKnows
Created date:2026-02-09 03:39
Last Updated:2026-02-09 20:07
Independent Analysis: Manually researched and fact-checked by the TraderKnows Compliance Team, based on public regulatory records.
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