In a swift strategic move, two major artificial intelligence companies, Knowledge Atlas and MiniMax, have initiated plans for listings on China's STAR Market, a mere half-year after their debuts on the Hong Kong Stock Exchange.
This rapid push for a dual "A+H" share structure is relatively uncommon in capital markets and highlights the intense pressure within the large language model sector, where funding windows are narrow, cash burn is relentless, and valuation paradigms are shifting.
Market sources suggest several other AI firms are also queuing for listings, raising the question of which business models will prove sustainable if market "scarcity" turns to "oversupply."
Knowledge Atlas recently announced its board's proposal to apply for the issuance and listing of A-shares on the Shanghai Stock Exchange's STAR Market.
The proposed offering would represent between 2% and 8% of its total share capital post-issuance, aiming to raise a net amount of approximately 15 billion yuan.
The proceeds are intended to fund projects including its general-purpose AI foundation model, a Model-as-a-Service platform, and for supplementing working capital.
Just days prior, MiniMax disclosed it is exploring a preliminary proposal for a domestic share issuance and has engaged advisors to assess its eligibility for a STAR Market listing, noting the plan requires further approvals and is subject to uncertainty.
The two companies have maintained remarkably synchronized timing, from their Hong Kong IPO filings to their current pursuit of secondary listings.
Their haste in seeking a mainland listing so soon after going public in Hong Kong is seen by industry observers as a strategic effort to secure capital.
Experts note that with the high cash consumption of AI model development and a favorable policy environment for strategic technologies, companies are motivated to raise funds while the window is open.
The significant valuation gap between leading international AI firms and their Chinese counterparts also presents a compelling fundraising opportunity.
The underlying driver is the need to finance ongoing operations, as both companies continue to report substantial losses despite impressive revenue growth.
In 2025, MiniMax's revenue surged 158.9% to $79 million, while Knowledge Atlas reported revenue of 724 million yuan, a 131.9% increase.
However, Knowledge Atlas recorded a net loss of 4.7 billion yuan last year, and MiniMax reported a net loss of $1.87 billion.
While both have performed relatively well as rare AI pure-plays in Hong Kong, their market capitalizations have recently diverged.
MiniMax's stock, which soared over 100% on its debut, has retreated from its March peak, with its market cap standing at approximately HK$208 billion as of early June.
Knowledge Atlas, with a more modest initial pop, has seen a steadier upward trajectory, recently accelerating and maintaining a market cap around HK$635.8 billion.
Analysts attribute this divergence to their distinct business models.
Knowledge Atlas focuses on the enterprise (B2B) sector, particularly in coding and programming, which is viewed as a more defensible and immediately monetizable narrative in the current climate.
MiniMax, with a greater emphasis on consumer (C2C) applications, faces a longer path to monetization, making its story seem riskier in the short term.
The valuation of their international peers also serves as a reference point.
MiniMax is often compared to OpenAI due to its C2C focus, while Knowledge Atlas increasingly draws parallels with Anthropic, especially following Anthropic's reported secret IPO filing at a staggering valuation, driven largely by its strength in coding.
The valuation logic differs between the A-share and Hong Kong markets.
A-shares often command a premium based on thematic narratives like import substitution and policy support, potentially offering price-to-sales multiples 1.5 to 2 times those in Hong Kong for tech leaders.
However, this premium is contingent on the rapid delivery of financial results; failure to meet performance expectations can lead to swift de-rating.
Consequently, the future reception of these companies in the A-share market will heavily depend on their ability to translate growth into tangible earnings.
Comments