Fullgoal CSI HK Equities Information Technology Integration ETF (159198) Achieves a Cumulative Gain of Over 20% Over the Past Three Months; Mispricing Correction in the AI Sector Expected to Bring in Hundreds of Billions of Dollars in Capital

NewTimeSpace (newtimespace.com) News,On July 14, 2026, Hong Kong tech indices weakened with volatility. As of 10:00, the CSI Hong Kong Stock Connect Information Technology Combined Index (930967) fell 0.92%.Fullgoal CSI HK Equities Information Technology Integration ETF (159198) edged down 0.16%, with the latest price standing at RMB 1.26.

Looking at a longer timeframe, as of July 13, 2026,Fullgoal CSI HK Equities Information Technology Integration ETF achieved a cumulative gain of 20.46% over the past three months, ranking 1st in gains among comparable funds out of 10.

In terms of news coverage, Goldman Sachs released a research report on July 13 stating that the total market capitalization of China's AI sector accounts for only 10% of the global AI total, yet it generates 16% of global AI-related revenues. Meanwhile, the allocation of global funds in Chinese AI stocks stands at a mere 1.2%. Kinger Lau, Goldman Sachs' chief China equity strategist, stated in the report: "If this mispricing is gradually corrected, it will bring over US$100 billion in incremental foreign capital inflows into the Chinese market."

In addition, Meta announced a substantial expansion of its data center in Louisiana, raising the total investment scale from the initially announced US$10 billion to a maximum of US$50 billion, bringing its computing power capacity to the 5GW level. This means that the project will rank among the largest AI data centers globally.

CSC Financial stated that Meta's Mark Zuckerberg clarified that the layout of the AI cloud business is to meet robust external customer demand for models and computing power, while simultaneously enhancing the utilization and monetization efficiency of infrastructure investments. This does not imply that Meta is cutting AI investments or that computing power demand has peaked. Meta still plans to scale up its computing capacity from approximately 7GW in 2026 to 14GW in 2027. Furthermore, DeepSeek and Zhipu are reported to be planning the development of their own AI chips. The extension of these two companies into the chip sector will drive the continuous iteration of the domestic computing power industry chain. The institution remains continuously optimistic about domestic large model developers and the computing power industry chain.

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, the company fully underpins its Agentic AI positioning with its self-developed edge models—Mano, Cito, and Mano-P—alongside the Cider inference framework. Its business architecture utilizes the DeepMiner LLM as the underlying engine and Octo as the collaborative hub, uniformly delivering various AI products and industry solutions in the form of Agentic Services. Mininglamp pursues a differentiated technological route, bypassing the parameter expansion of general models in favor of a "Scaling Out" approach that coordinates multiple specialized small models. Its core moats do not rely on parameter scale, but rather on granular scenario data, specialized models, and continuous learning. This enables it to achieve a level of precision in vertical scenarios that general models cannot match, as it remains committed to building an open-source, privately deployable, and white-box auditable Private AI infrastructure.

XUNCE (03317.HK)

A leading data infrastructure provider for financial asset management in China, recognized by the market as the "First Token Stock." The company continues to deepen the integration of LLMs into the core business workflows of financial asset management, reconstructing investment research, trading, and risk control pipelines through underlying data governance and AI technologies. Its underlying structured data cleaning capabilities closely align with the digital transformation of financial institutions and the compliant implementation trends of LLMs.

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