Zhipu AI announced a share sale in Hong Kong to raise approximately US$4 billion [1] after its stock price surged.

The move allows the artificial intelligence model maker to capitalize on a rare fundraising window to secure capital for expansion. This injection of funds comes as the company seeks to scale its operations during a period of intense competition in the global AI sector.

Zhipu AI, also known as Knowledge Atlas Technology JSC, reported the plan on Wednesday [5]. A company spokesperson said in a statement that it plans to raise about $4 billion to fund its next phase of growth [4]. To ensure the placement was successful, the company priced the new shares at a discount to the market [5].

The fundraising follows a period of growth for the company's valuation. Since its listing in January, the stock has climbed between 1,500% [3] and 2,000% [4]. This rally has provided the company with the leverage necessary to execute a multibillion-dollar capital raise on the Hong Kong Stock Exchange [1].

Zhipu is seeking to raise about $4 billion through a new share sale after its stock climbed almost 1,500% since its January listing, a representative said [2]. The company is utilizing the Hong Kong market to attract a diverse range of investors as it transitions from a high-growth startup to a mature public entity [1].

While some reports indicated the company was still weighing the sale, other sources confirmed the launch of the process [4]. The company's strategy focuses on leveraging current market sentiment to build a substantial cash reserve for research and development [5].

“Zhipu AI said in a statement that it plans to raise about $4 billion to fund its next phase of growth.”

Zhipu AI's decision to launch a secondary offering immediately following a massive post-IPO rally reflects a strategic move to lock in high valuations. By raising US$4 billion now, the company mitigates the risk of future market volatility while securing the liquidity needed to compete with other global AI giants. This indicates a shift toward aggressive scaling and infrastructure investment in the Chinese AI landscape.