Large Model Concept Stocks Watch | Having Initiated Integration Practices with AI Platforms Such as WeChat and Tongyi Qianwen; Mininglamp Technology (2718.HK) Surges Nearly 8% in Morning Trading

NewTimeSpace (newtimespace.com) News, on June 24, 2026, large model concept stocks in the Hong Kong stock market strengthened as Mininglamp Technology (2718.HK) surged during morning trading. As of 10:06 AM, the company's share price was quoted at HK$240.600, up 7.89%.

On the news front, WeChat's AI assistant "XiaoWei" recently initiated a small-scale internal beta test, and the infrastructure of the WeChat AI ecosystem took preliminary shape within two weeks. Following WeChat's release of its developer guidelines, leading enterprises including JD.com, Meituan, Ctrip, DiDi, and Dewu intensively announced their integration. As of mid-June, more than 10 enterprises had explicitly announced their connection to the WeChat Agent ecosystem, covering core scenarios such as e-commerce, local life services, mobility, travel, and smart homes.

Beyond WeChat, transactions on other mainstream AI platforms are also accelerating their implementation. The Doubao APP recently conducted gray-scale testing for a one-click ride-hailing service in Beijing and Hangzhou, with transportation capacity supported by Caocao Mobility. Meanwhile, Alipay has completed 300 million AI agent-driven transactions.

AI Agents are simultaneously unlocking new consumption entry points across multiple platforms. At the same time, they are reshaping user behavior and establishing a new entry-point logic: upgrading from "people looking for services" to "AI dispatching services."

Relying on its multi-industry scenario knowledge bases, massive text corpora of real consumer intents, and extensive cross-platform engineering experience, Mininglamp Technology (2718.HK) has initiated integration practices with AI platforms such as WeChat and Tongyi Qianwen, comprehensively launching its Agent Ready solutions tailored for brand clients.

Focusing on four major dimensions, the company helps enterprises arrange their AI entry points and win user mindshare: First, demand understanding optimization: precisely capturing the true intentions behind users' vague expressions to reduce communication discrepancies and enhance the accuracy of Agent interactions. Second, recommendation strategy fine-tuning: balancing users' personalized needs with brands' commercial strategies to make product recommendations context-aware, achieving a win-win for both user experience and business value. Third, business rule adaptation: flexibly handling promotional activities, membership tiers, inventory status, and store service rules to ensure that the Agent's execution logic complies with business regulations. Fourth, multi-platform protocol adaptation: establishing standardized access protocols and adaptation layers to quickly match various Agent platforms and smart terminals, thereby lowering the cost of expanded integration.

Financial Street Securities stated that global large models have currently entered a phase of intensive iteration. Leading domestic and international vendors are driving technological upgrades around AI Agents, lightweight deployment, and vertical scenario optimization. Concurrently, token invocation volumes for large models at home and abroad are exhibiting explosive expansion, indicating that industry demand remains persistently robust. As the implementation scenarios for large models continue to broaden, the commercial space for AI applications is gradually opening up, and the prosperity of the industrial chain continues to head upward.

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