Large Model Enterprises Flourish Across Multiple Fronts in the AI Application Field; First Seafront Artificial Intelligence Dynamic Allocation Hybrid Fund-A (001986) Rises Near 65% Over the Past Three Months

In terms of artificial intelligence-themed funds, related AI-themed funds, such as First Seafront Artificial Intelligence Dynamic Allocation Hybrid Fund-A (001986) and First Seafront Artificial Intelligence Dynamic Allocation Hybrid Fund-C (023286), staged a powerful rally.

Choice data shows that on June 9, 2026, First Seafront Artificial Intelligence Dynamic Allocation Hybrid Fund-A (001986) and First Seafront Artificial Intelligence Dynamic Allocation Hybrid Fund-C (023286) achieved single-day gains of 7.14% respectively.

 Over the past three months, First Seafront Artificial Intelligence Dynamic Allocation Hybrid Fund-A (001986.OF) and Mixed C (023286.OF) have surged by 64.67% and 64.51% respectively.

On the news front, artificial intelligence has delivered an active performance in application fields recently. On June 9, 2026, Meituan’s GN06 team announced the official launch of Tabbit 1.0, an AI-native browser. With multiple large models built-in, Tabbit can automatically execute various complex tasks across different software and web pages once a user enters their requirements.

On June 9, Mininglamp Technology(2718.HK) reached a strategic cooperation agreement with The Education University of Hong Kong to jointly build an "AI + Education" joint research platform. Mininglamp Technology will open access to its suite of AI tools—including the commercial agent platform DeepMiner, the open-source Agent collaboration platform Octo, and the collaborative creation tool CoCraft—to provide industry-proven technical support for research projects.

On June 8, WeChat announced that it would provide developers with WeChat AI ecosystem capabilities. Subsequently, Meituan, DiDi, JD.com, Tuhu Car Care, and Trip.com Group announced that they had reached collaborations with Tencent in the field of AI Agents.

China Galaxy Securities expressed that with the continuous iteration and implementation of domestic large models, the commercialization of AI applications possesses vast development space, and related enterprises are expected to benefit from the new incremental growth brought by rising demand. The cultivation of user habits will also facilitate the development of vertical AI applications. It is recommended to focus on AI applications with deepening AI empowerment and related sub-sectors across the industrial chain.

Hong Kong-listed Large Model Concept Stocks:

KUAISHOU-W (01024.HK)

A leading multimodal content generation platform in China, the company plans to restructure Kling AI and introduce external financing. Kling AI's quarterly revenue has reached 6.5 millions of RMB, with an Annualized Run Rate (ARR) exceeding USD 500 million. Its general LLM "KwaiYii" and video generation model "Kling" are undergoing continuous iteration, demonstrating high commercial conversion efficiency in scenarios such as e-commerce live streaming and automated marketing content generation.

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.

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.

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