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    Home - National - MiniMax leads China’s AI IPO wave with blockbuster market debut
    National

    MiniMax leads China’s AI IPO wave with blockbuster market debut

    Naveed AhmadBy Naveed AhmadJanuary 10, 2026No Comments3 Mins Read
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    MiniMax leads China’s AI IPO wave with blockbuster market debut
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    Hong Kong’s capital markets pulsed with algorithmic enthusiasm on Friday as China’s synthetic intelligence startups made a thunderous entrance into public buying and selling, underscoring the sector’s accelerating convergence of information, compute energy, and investor confidence.

    On the middle of the surge was MiniMax, whose inventory vaulted 109 % on its first day of buying and selling, enabling the corporate to safe US$619 million in contemporary capital and reinforcing its emergence as a key architect of China’s AI innovation stack.

    Momentum prolonged to see Zhipu AI, which registered an extra 20.6 % acquire on its second buying and selling session following a US$558 million IPO highlighting sustained urge for food for high-growth, compute-intensive ventures.

    These landmark listings arrive forward of any public-market strikes from US-based AI leaders comparable to OpenAI and Anthropic, positioning Chinese language corporations on the forefront of the worldwide IPO pipeline for generative intelligence.

    Based in 2022, MiniMax has quickly scaled its digital infrastructure, onboarding 200 million customers throughout a portfolio of AI-driven platforms. Its flagship product, Hailuo AI, leverages superior video synthesis, multimodal studying, and generative diffusion fashions to automate content material creation at scale.

    The corporate is led by Yan Junjie, a former govt at SenseTime, whose background in enterprise-grade laptop imaginative and prescient and algorithm deployment has formed MiniMax’s aggressive R&D trajectory.

    Addressing buyers, Yan emphasised that AI progress hinges not solely on breakthroughs in mannequin structure and coaching effectivity, but in addition on open ecosystems that allow cross-platform innovation. He projected that the trade’s subsequent four-year cycle would mirror the exponential beneficial properties of its earlier progress section.

    In accordance with co-founder and COO Yun Yeyi, MiniMax has invested roughly US$500 million into mannequin optimization, inference effectivity, and artistic AI workflows, a price profile he described as disciplined given the corporate’s expansive product roadmap.

    Proceeds from the itemizing shall be allotted in the direction of long-term analysis, together with the event of basis fashions, AI-native working methods, and next-generation generative instruments.

    The agency’s engineering ranks embrace veterans from Google, Microsoft, Alibaba, and DeepSeek, strengthening its deep-tech credentials.

    Regardless of surging market enthusiasm, MiniMax stays in a capital-intensive progress section. Abroad income climbed from US$100,000 in late 2024 to US$7.8 million a yr later, whereas web losses expanded to US$512 million, reflecting heavy funding in compute infrastructure and expertise acquisition.

    The corporate has acknowledged that losses could persist because it prioritizes scalability and technological management.

    Additionally it is contesting a US$75 million copyright lawsuit filed by main Hollywood studios over its AI-generated video outputs, sustaining that present proof doesn’t substantiate the claims.

    Analysts argue that profitability is a secondary metric at this stage. Gary Ng, senior economist at Natixis Company and Funding Banking, mentioned investor habits signifies a strategic guess on AI supremacy quite than near-term earnings.

    “The sector remains to be in its early deployment cycle,” Ng famous, including that valuation hinges on which gamers can dominate mannequin efficiency, platform adoption, and knowledge moats.

    Business projections recommend China’s large-language-model market might attain 101.1 billion yuan (US$14.5 billion) by 2030, whereas synthetic intelligence is anticipated to inject practically US$19.9 trillion into the worldwide financial system, reshaping productiveness and digital infrastructure worldwide.



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