China’s Z.AI Plans $5B Raise as AI Compute Costs Keep Climbing

China’s Z.AI plans to raise $5 billion for next-generation models and computing capacity as rising AI infrastructure costs pressure profitability.

Sep 15, 2026
3 minute read
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Building frontier AI models is getting more expensive, and China’s Z.AI is raising another $5 billion to keep pace.

The Beijing-based company, formerly known as Zhipu AI, plans to raise about $2 billion through a Hong Kong share placement and another $3 billion through convertible bonds, according to a Sunday filing.

The fresh capital will largely support next-generation model development and additional computing capacity, highlighting the growing infrastructure bill facing AI companies as they race to release larger and more capable systems.

Z.AI will issue 21.97 million new shares at HK$714 each, nearly 10% below Friday’s HK$793 closing price. It will separately issue 20.14 billion yuan ($3 billion) in zero-coupon convertible bonds due in September 2027.

The bonds carry an initial conversion price of HK$892.50, about 12.6% above Friday’s closing price. They were issued at 100.5% of face value and will be settled in U.S. dollars. The fundraising comes less than two months after Z.AI raised about $4 billion through another share placement in July.

Cash for models and computing

Z.AI said about 60% of the net proceeds will go toward research and development of next-generation models and a fully self-training system. Another 15% will support business expansion, with the remainder earmarked for capital structure improvements, working capital and general corporate purposes.

The timing reflects the enormous cost of competing in frontier AI. Z.AI said rising demand for its services and continued work on new models have increased its need for computing capacity.

The company released its GLM-5.3 flagship model in August, followed by the cheaper GLM-5.3-Flash multimodal model. Management has also started developing a successor with more parameters, a longer context window, and native multimodal capabilities.

Growth comes with heavy losses

Z.AI’s first-half revenue jumped 400% to 953.89 million yuan (US$142 million), while its annual recurring revenue reached $1.6 billion by the end of August, according to SCMP.

But profitability remains difficult. The company reported a 2.07 billion yuan first-half loss, while research and development spending rose one-third to 2.13 billion yuan. Cash stood at 3.99 billion yuan at the end of June. 

Shares closed at HK$793 after reaching an intraday high of HK$2,980 on June 22, a decline of about 73% from the peak.

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What the new money could change

The raise gives Z.AI more room to absorb the rising cost of training and running increasingly capable models. It could also help the company compete against OpenAI and Anthropic internationally and DeepSeek, Moonshot AI and MiniMax in China.

It also highlights the economics facing the broader AI market. Rapid revenue growth does not necessarily offset the cost of training and serving increasingly capable models, and Macquarie estimates Z.AI and MiniMax could remain unprofitable through 2030 as computing expenses rise.

For enterprise technology providers and channel partners, that matters because the companies that can sustain these infrastructure costs are more likely to keep expanding model availability, pricing options and partner ecosystems. Z.AI’s latest raise is therefore as much about staying in the race as accelerating growth.

The company is separately pursuing a Shanghai STAR Market listing, though no formal application has yet been publicly accepted.

In other China AI news, Tencent-backed Enflame nearly tripled in its Shanghai market debut after raising about $912 million, giving APAC partners another potential domestic alternative to Nvidia for AI infrastructure. 

Aminu Abdullahi

Aminu Abdullahi is a contributing writer for Channel Insider and an B2B technology and finance writer with over 6 years of experience. He has written for various other tech publications, including TechRepublic, eSecurity Planet, IT Business Edge, and more.

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