Acceleration in Enterprise-Level AI Application Deployment; Wanjia Hang Seng Internet Technology Industry ETF(159202) Rises 1.26%
NewTimeSpace (newtimespace.com) News: As of 14:18 on May 22, 2026, the Hang Seng Internet & Information Technology Index (HSIII) rose strongly by 1.54%. Among its constituents, Deepexi Technology gained 8.89%, UBTECH climbed 7.38%, while NetEase-S, Hesai-W, and Mininglamp Technology-W also followed the upward trend. Wanjia Hang Seng Internet Technology Industry ETF (159202) rose 1.26% to reach a latest price of RMB 0.88. (The stocks listed above are index constituents only and do not constitute specific investment recommendations.)
Regarding liquidity, Wanjia Hang Seng Internet Technology Industry recorded an intraday turnover rate of 7.29%, with a transaction value of RMB 82.9253 million. Looking at a broader timeframe, the ETF maintained an average daily turnover of RMB 142 million over the past year as of May 21.
Data indicates that leverage funds continue to build positions. The Hang Seng Internet ETF Wanji recorded a net financing buy-in of RMB 4.8507 million on the previous trading day, with the latest financing balance reaching RMB 39.4427 million.
On the news front, Zhipu announced that it is providing the "GLM-5.1-highspeed" API to selected enterprise clients. The model achieves an output speed of 400 tokens/s, setting a new global benchmark for API speeds among large model vendors.
In an industry weekly report on May 22, Northeast Securities pointed out that in terms of AI applications, enterprise-level deployment is accelerating, and innovation in computing power service models is being explored. OpenAI has established a deployment company with an initial investment of over USD 4 billion, led by TPG and supported by 19 institutions, to embed AI engineers within enterprises to drive the integration and deployment of frontier models. Meanwhile, Shanghai Telecom has launched a "Token Computing Power" service, where RMB 1 corresponds to 250,000 credit points. This service supports direct payment via phone bills and allows users to call over 30 mainstream large models, making it the first operator in Shanghai to release a token-based pricing package.
Catalyzed by these industry developments, large model-related stocks including Zhipu, Xunce, and Mininglamp Technology have all posted gains to varying degrees.
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 Technology-W (02718.HK)
As a large model concept stock, Mininglamp Technology is recognized by the market as the "first Agentic AI stock on the Hong Kong Stock Exchange." Its self-developed model portfolio includes the DeepMiner large model product line (the underlying engine), models such as Mano/Cito, and the Cider inference acceleration framework. All these are interconnected via the Octo platform layer, which serves as a central hub for human-Agent collaboration. Ultimately, they are delivered in the form of Agentic Services, empowering the implementation of decision-making AI agents in industries such as marketing and mass consumer goods.Rather than pursuing the "Scaling Up" path of monolithic large models, the company adopts a "Scaling Out" approach through the collaboration of multiple specialized small models, achieving accuracy that surpasses general-purpose models in vertical scenarios. Its core competitive barriers lie in niche scenario data, specialized models, and continuous learning. Furthermore, the company has built an open-source, private-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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