If that happens, index‑tracking funds would need to purchase the stocks automatically. Estimates suggest the rebalance could generate about $1.25 billion to $1.75 billion in passive inflows .
Because traders anticipate this type of forced demand, they often buy shares ahead of the rebalancing. This "pre‑inclusion trade" can accelerate price gains long before the index change actually occurs.
However, the strategy carries a well‑known risk: once the inclusion happens, the event can turn into a “sell‑the‑news” moment if traders who bought early decide to take profits.
The biggest near‑term risk may be IPO lockup expirations. During lockup periods, insiders and early investors are restricted from selling their shares. When the restriction ends, a significant amount of stock can suddenly become available.
For rapidly rising companies, that creates a strong incentive for early backers to realize gains. Market reports indicate that a lockup expiration period later in the year could represent a meaningful supply increase for these companies’ shares .
If a large number of early shareholders decide to sell, the additional supply could weaken prices—especially in stocks whose rallies were partly driven by scarcity.
Another notable feature of the rally is capital rotating toward AI‑focused startups instead of established platforms like Alibaba or Tencent.
The reason is largely narrative and positioning.
By contrast, Alibaba and Tencent remain diversified technology conglomerates. Even though they invest heavily in AI, the impact of those efforts is spread across large existing businesses, making the AI narrative less concentrated for investors.
Despite the market enthusiasm, financial fundamentals remain uncertain. Developing large AI models requires enormous spending on computing infrastructure and training, and both MiniMax and Zhipu have incurred substantial costs while scaling their technology .
For now, investors appear willing to tolerate losses in exchange for exposure to a fast‑growing industry. But that tolerance may depend on evidence that the companies can convert AI innovation into sustainable revenue.
The surge in Hong Kong’s AI startups reflects a combination of structural market forces and thematic investing. Limited free float, expectations of index inclusion, and strong demand for pure AI exposure have all pushed prices higher.
But the same dynamics that fueled the rally also create fragility. As lockups expire and liquidity increases, the market will get a clearer test of whether these valuations are supported by lasting growth—or were mostly the result of scarcity and momentum.
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