Mininglamp Technology-W (2718.HK) Rises Over 40% in Two Days; Agentic AI is Being Repriced by the Market

On June 12, 2026, Hong Kong stocks collectively rebounded, with the Hang Seng Tech Index opening higher and rallying, driving a collective increase in AI large model concept stocks. Amid this sectoral rebound, Mininglamp Technology-W (2718.HK)—dubbed by the market as the "first Agentic AI stock on the Hong Kong stock market"—led the gains among numerous Hong Kong-listed AI enterprises.

Choice data shows that Mininglamp Technology-W (2718.HK) closed up 19.93% on June 11. The company's share price momentum extended into June 12, with its gain reaching 22.55% as of 13:13 PM, bringing its cumulative gain over the past two days to over 40%.

On the news front, the implementation prospects of the AI industry have once again captured market attention over the past two days. On June 10, the Ministry of Industry and Information Technology (MIIT) issued the "Implementation Opinions on the Innovative Development of 'Artificial Intelligence + Information Communications' (2026–2028)." The document highlights the vigorous development of products such as AI smartphones, AI PCs, smart home devices, and intelligent wearables to foster a smart, integrated product ecosystem for AI terminals.

On June 11, the Hong Kong Exchanges and Clearing Corporation (HKEX) Future Technology Summit was held in Shenzhen. Mark J. Fiteny, Managing Director at JPMorgan Chase, stated at the summit that an absolute AI leader has not yet emerged globally, and large tech giants and AI startups continue to compete and alternately take the lead. He predicted that AI hardware, software, and related services will bring a trillion-dollar incremental market, and AI is expected to add USD 16 trillion to global GDP by 2030.

At the beginning of June, Jensen Huang announced at the GTC Taipei conference that AI has officially transitioned from the large language model stage into the era of Agentic AI, characterized by the capacity to autonomously observe, reason, plan, and invoke tools.

Recently, the Data Center Committee of China Communications Industry Association (CIDC) released the 2026 White Paper on China's Enterprise-Grade AI Agent Industry. The paper points out that the scale of China's enterprise-grade AI agent market reached RMB 21.2 billion in 2025, successfully completing its commercial validation. It is projected to reach RMB 44.9 billion in 2026, doubling year-on-year. By 2029, the market is expected to reach RMB 332 billion, exhibiting a compound annual growth rate (CAGR) of 107% from 2024 to 2029. This growth rate ranks first among all AI sub-tracks, far outstripping other fields such as computing power, large models, and data.

Mininglamp Technology is precisely a technical practitioner and pioneer of this emerging trend. Information shows that the company's technical foundation has constructed a three-tier product matrix comprising Mano-P (an edge-side GUI-VLA agent model), Cider (an inference acceleration framework), and Octo (an open-source Agent collaboration platform). This makes it the only AI company on the Hong Kong stock market to simultaneously possess the four-layer capabilities of edge-side models, inference engines, Agent collaboration platforms, and hardware entry points.

Internally, Mininglamp Technology has already validated this entire logic prior to commercial rollout through the collaborative work of approximately 1,400 employees and over 2,900 Agents. In vertical scenarios such as marketing, the company's full-link Agentic AI transformation has boosted the human efficiency of producing deep social media review reports by up to 20 times, and enhanced marketing intelligent delivery efficiency by up to 4 times.

The latest research report from China Galaxy Securities pointed out that the media and internet industry is currently in a dual-wheel-driven phase characterized by deep AI empowerment and steady financial growth, rendering its long-term investment value highly prominent. The collaborative release of growth potential from AI application technologies and scenarios, alongside the continuous refinement of hardware-side AI infrastructure, is progressively transmitting to the downstream application segments of the industrial chain. Financial performance driving and AI empowerment have become the core engines of industry growth. As the open-source wave of domestic large models rises, technical innovation and application implementation are forming a positive loop.

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