ChinaAMC Hang Seng Internet Technology Industry ETF(513330) Continues to Surge in Morning Trading; Tech Giants Including Tencent and Mininglamp Technology Sustainedly Intensify Investment in AI Models and Product Portfolios
NewTimeSpace (newtimespace.com) News, On June 5, 2026, the ChinaAMC Hang Seng Internet Technology Industry ETF (513330) edged higher during the morning session, gaining 0.74% as of 9:35 AM.To date, the fund has rebounded and climbed by more than 2.5% since the beginning of June.
On the news front, among the constituent stocks of the ChinaAMC Hang Seng Internet Technology Industry ETF fund, large model-related enterprises—including Tencent (0700.HK), Alibaba-W (9988.HK), and Mininglamp Technology-W (2718.HK)—have continuously reinforced their investments in AI models and on the product side.
For instance, Tencent (0700.HK) has achieved robust growth and high retention rates among active and paying users for its AI agent products, CodeBuddy and WorkBuddy. Concurrently, its core businesses, such as gaming and advertising, have maintained strong momentum by benefiting from AI empowerment.
Alibaba-W (9988.HK) expects the ARR (Annual Recurring Revenue) of its AI models and application services, including the Bailian MaaS (Model as a Service) platform, to surpass RMB 30 billion by the end of the year. Its latest flagship model, Qwen3.7-Max, is capable of executing complex tasks fully autonomously for up to 35 hours.
Mininglamp Technology-W (2718.HK) was officially included as an eligible trading asset under the "Stock Connect" program on June 1. Recently, the company has scored multiple major advancements across its product, business, and ecosystem fronts. Since the beginning of this year, Octo, its self-developed open-source multi-Agent collaboration platform, has been deployed and implemented internally among approximately 1,400 employees. In the field of AI models, its edge-side GUI-VLA (Vision-Language-Action) agent model, Mano-P, has captured leading scores across various public benchmarks. Furthermore, the company officially launched its first AI Native hardware, Octic, in May. Mininglamp Technology is step-by-step constructing a comprehensive Agentic AI product matrix of "Model → Platform → Hardware."
Great Wall Securities stated that the financial results of North American enterprises have validated the definitive demand for AI Infrastructure (AI Infra) and AI application software. As the utilization of AI integrates deeper into the business workflows of major corporations, enterprise demand for systematic capabilities—such as workflow observability, data governance, and workflow collaboration—will continue to expand. Meanwhile, SaaS (Software as a Service) application providers are also upgrading their products via AI to embed themselves more profoundly into customer workflows. The previous massive drawdown of the IGV (iShares Expanded Tech-Software Sector ETF) fundamentally stemmed from the market's extremely pessimistic pricing regarding "AI disrupting SaaS." Once financial earnings and industry developments begin to debunk the "AI cannibalization theory," software companies are expected to witness a rapid release of elasticity in valuation recovery.
Hong Kong-listed Large Model Concept Stocks:
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.
BABA-W (09988.HK)
The company has released several new models, including Qwen3.6-Plus, with the Qwen LLM surpassing 1.4 trillion Tokens in daily API calls, setting a new global record for daily calls on third-party platforms. The Qwen consumer-facing application has exceeded 300 million MAU and has been integrated into the smart cabins of multiple automakers. It consistently ranks at the forefront in international benchmark evaluations for coding and agentic capabilities. Its business layout seamlessly matches the trend of scaled procurement of computing power and model APIs by government and enterprise clients.
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.
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