Large Model Concept Stocks Watch | Commercialization of Kling AI Continues to Accelerate; Kuaishou-W (01024.HK) Rises Nearly 4% Against Market Trend in Morning Trading

NewTimeSpace (newtimespace.com) News: On June 10, 2026, Kuaishou-W (01024.HK) surged substantially during morning trading. As of 10:08 AM, the company's share price was quoted at HK$46.060, up 3.88%, leading the gains in the Hang Seng Tech Index.

On the news front, as Kling AI recently marked its second anniversary since launch, Kuaishou disclosed its latest operational data. As of June 2026, global users broke through 100 million, representing an increase of approximately 67% compared to 60 million at the end of 2025, covering 224 countries and regions. Corporate clients approached 50,000, representing an increase of approximately 67% compared to 30,000 at the end of 2025. Over the two years since its launch, Kling AI has evolved from version 1.0 to 3.0 Omni, completing 26 iterations over the past year, while cumulatively publishing 122 academic papers and open-sourcing 21 projects.

Great Wall Securities pointed out that the company launched its Kling 3.0 series models in the first quarter of 2026, which offer highly flexible storyboard control capabilities and more precise semantic alignment. Equipped with the capability of "simultaneous audio-visual generation" and highly consistent narrative continuity for subjects, it further expands the boundaries of AI storytelling. Kling AI has consistently focused on the core demands of professional creators in fields such as film and television, advertising, e-commerce, and gaming, empowering professional creation with full-link industrial capabilities to achieve significant cost reduction and efficiency enhancement, thereby driving the continuous acceleration of Kling AI's commercialization.

Wanlian Securities stated that as models progressively possess the comprehensive capability to independently complete longer-process and higher-complexity tasks, they are expected to further broaden and deepen application scenarios, while accelerating the commercialization landing process. It is recommended to continue focusing on the iterative upgrading of AI large model capabilities and the accelerating commercialization process of AI applications. From a medium- to long-term perspective, continue to focus on the two major investment main lines: the AI industry and the data industry.

The Hong Kong stock market currently boasts multiple AI application-related enterprises, which have demonstrated active performances in the capital markets since 2026:

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.

MININGLAMP-W (02718.HK)

As an LLM concept stock in the Hong Kong market, Mininglamp Technology is dubbed the "First Agentic AI Stock in Hong Kong." It has released DeepMiner, a multi-agent collaborative data analysis platform for commercial data analytics, and the open-source edge GUI (Graphical User Interface) model series, Mano. Deeply engaged in the enterprise service and data intelligence tracks, the company adopts a multi-agent architecture focusing on commercial data analysis. By utilizing structured factual data to mitigate AI hallucination risks, it provides decision-making agent pipelines for the marketing and mass consumption sectors. Additionally, it has launched AI Native hardware to expand the carriers for its agents.

MEITUAN-W (03690.HK)

An AI technology pioneer in the local lifestyle services sector. Its AI-native community "Miyou" has validated its practical value in physical operational scenarios, helping catering brands improve operational efficiency. The company continues to optimize search, recommendation, and dispatch algorithms within the local lifestyle ecosystem using its self-developed LLM capabilities. By introducing AI agent technologies into intelligent customer service, merchant marketing assistants, and on-demand delivery route planning, it remains committed to enhancing bilateral operational efficiency and refined management levels.

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