Penghua CSI HK Equities Information Technology Integration ETF (159185) Rises Over 1% in Morning Session as Commercial Implementation of AI Drives Earnings Recovery in Hong Kong Tech

NewTimeSpace (newtimespace.com) News, On July 16, 2026, Hong Kong stock AI-related themes strengthened. As of 10:46, the CSI Hong Kong Stock Connect Information Technology Combined Index (930967) rose 0.91%, and Penghua CSI HK Equities Information Technology Integration ETF (159185) increased by 1.06%, with the latest price standing at RMB 1.15.

Looking at a longer timeframe, as of July 15, 2026, Penghua CSI HK Equities Information Technology Integration ETF achieved a cumulative gain of 12.95% over the past three months. In terms of scale, the fund size of Penghua CSI HK Equities Information Technology Integration ETF grew by RMB 37.7396 million over the past month. In terms of fund shares, its total shares increased by 24 million units over the past two weeks, achieving significant growth.

In terms of news coverage, on July 15, 2026, JD.com and Tencent jointly announced that JD.com's AI Agent has completed an ecosystem integration with Tencent Yuanbao via Mini Programs. JD.com's AI Agent will provide Tencent Yuanbao with comprehensive product information covering all categories, including digital electronics, home appliances, apparel and bags, beauty and personal care, and fresh food, while providing users with services such as product recommendations, order placement, fulfillment, and after-sales support.

In addition, Tencent Hunyuan Hy3 topped the OpenRouter charts. Following the release of the official version of Tencent Hunyuan Hy3 on July 6, Hy3 secured the number one spot on OpenRouter's weekly global model invocation volume chart as of July 15. Since the launch of Hy3 Preview, its average daily Token consumption has grown 20-fold. WorkBuddy, an office Agent built on Hy3, saw its monthly active users exceed 20 million, ranking first among domestic office AI-native Agents on July 14. Internal evaluations show that its task success rate rose from 72% to 90%, while the average time consumed was reduced by 34%.

Industrial Securities stated that the core drivers for Hong Kong tech stocks in the second half of the year include: the continuous deepening of the K-shaped economic divergence, the ongoing progression of the AI wave paired with falling oil prices, and marginal improvements in overseas liquidity expectations. First, the fundamentals of Hong Kong stocks, particularly Hong Kong tech, rely heavily on the Chinese economy. Currently, the domestic "K-shaped" economic divergence continues to deepen, and policies constantly focus on technological innovation, reinforcing the structural characteristics of the market and highlighting the relative advantages of tech growth. Second, at the capital level, as a typical offshore market, Hong Kong stock liquidity is simultaneously affected by both domestic and overseas markets. In the second half of the year, as geopolitical tensions in the Middle East ease and oil prices drop significantly, overseas liquidity expectations are expected to show marginal improvement. Meanwhile, domestic southbound capital continues to flow in and maintains heavy positions in tech growth. The relative improvement in the capital landscape will also provide support for Hong Kong stocks, especially the tech growth sector.

Industrial Securities further pointed out that the allocation value of the current Hong Kong tech sector is gradually becoming evident. On one hand, the valuation of Hong Kong tech has reached a relatively low level in recent years. On the other hand, as regulatory policies standardize industry competition, coupled with the progress achieved in the commercialization of AI-related businesses, the earnings of Hong Kong tech enterprises have also begun to recover.

Hong Kong-listed Large Model Concept Stocks:

KNOWLEDGE ATLAS (02513.HK)

Knowledge Atlas Technology Joint Stock Company Limited (02513.HK; commercially known as Zhipu AI) is a leading player in China's independent large language model (LLM) sector (recognized for its capabilities and market position by Frost & Sullivan). The company has released its next-generation flagship model, GLM-5, achieving open-source State-of-the-Art (SOTA) performance in coding and agentic capabilities. It has also open-sourced the multimodal image generation model GLM-Image in collaboration with Huawei. Focusing on novel model architecture design, generalized reinforcement learning paradigms, and autonomous model evolution, its business layout closely aligns with the trend of enterprise-level AI productivity transformation.

MININGLAMP-W (02718.HK)

As an LLM concept stock, Mininglamp Technology is recognized by the market as the "First Agentic AI Stock in Hong Kong." Its self-developed model cluster includes the DeepMiner LLM product line (underlying engine), models such as Mano/Cito, and the Cider inference acceleration framework. These are all interconnected by the Octo platform layer to serve as a human-Agent collaboration hub, ultimately delivered in the form of Agentic Services to empower the implementation of decision-making agents in industries like marketing and mass consumption. The company bypasses the "Scaling Up" route of monolithic LLMs, opting instead for a "Scaling Out" approach through the collaboration of multiple specialized small models, achieving precision that surpasses general models in vertical scenarios. Its core moats lie in granular scenario data, specialized models, and continuous learning, culminating in an open-source, privately deployable, and white-box auditable Private AI infrastructure.

TENCENT (00700.HK)

The Hunyuan LLM ranks highly in evaluations on third-party platforms such as OpenRouter. The model continues to deepen its integration into national-level social applications, Tencent Meeting, and the cloud-based collaborative office ecosystem. Backed by a massive MAU base and the Tencent Cloud intelligent computing service system, the company is accelerating the delivery/provision of AI solutions to B2B clients in government and finance, continuously expanding enterprise-level application scenarios.

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