China's leading AI startups Zhipu AI and MiniMax raised a combined $1.2 billion in their Hong Kong IPOs, but the country's AI funding still lags far behind US levels. Between 2023 and 2026, US AI companies received $380 billion in venture funding, more than ten times China's total.
TL;DR
- China's top AI startups raised $1.2B combined, but US firms received 325x more funding in the same period.
- Chinese models are now just 4 months behind US counterparts, but funding constraints threaten future progress.
- Entrepreneurs may need to get creative with funding, exploring IPOs, private credit, or revenue sharing.
What happened
China's AI models have rapidly closed the performance gap with US counterparts, with the best Chinese models now just four months behind the most sophisticated releases from OpenAI and Anthropic, according to analysts. In 2024, Chinese models accounted for 1.2% of token traffic, but by the summer of 2026, they had captured more than half of the total.
Despite this progress, funding remains a significant challenge. Between 2023 and 2026, venture funding into US AI companies topped $380 billion, while China's startups received barely a tenth of that figure, according to the Boston Consulting Group. Zhipu AI and MiniMax, China's leading model developers, raised $558 million and $620 million respectively in their Hong Kong IPOs in January 2026, despite heavy over-subscription.
Chinese entrepreneurs have traditionally relied on state guidance funds and venture capital backing, but policy-driven funds prioritize later-stage startups, and early-stage venture capital is only just recovering from a three-year fundraising drought. Venture investment in China totaled just $20 billion in the first quarter of 2026, against $267 billion in the US.
Why it matters
The funding gap could hinder China's ability to close the performance gap further. Chinese startups must compete with deep-pocketed US rivals and outcompete former employers for AI talent, with algorithm engineers specializing in large language models commanding some of the highest pay packages. Inflation is also taking hold inside the AI economy, with memory prices rising and the war for AI talent intensifying.
To maintain their competitive edge, Chinese entrepreneurs may need to explore alternative funding channels, such as Hong Kong's capital markets, private credit, revenue sharing with customers, or leveraging the equity they hold as collateral. The IPO pipeline in Hong Kong tells its own story, with many Chinese technology startups choosing to list earlier than the previous generation of companies due to a lack of alternatives.
Despite the funding challenges, China's open-weight strategy has given its leading AI companies a cost advantage, and the country's startups have commanded global respect and won a growing customer base. However, keeping pace in the AI race will require using every asset and every channel available, as overseas rivals continue to spend significantly more.
Key facts
- Chinese models are now just four months behind the most sophisticated releases from OpenAI and Anthropic, compared to seven months at the start of 2026.
- Chinese models have gone from 1.2% of token traffic in 2024 to more than half of the total by the summer of 2026.
- Between 2023 and 2026, venture funding into US AI companies topped $380 billion, while China's startups received barely a tenth of that figure.
- Zhipu AI and MiniMax raised $558 million and $620 million respectively in their Hong Kong IPOs in January 2026.
- Venture investment in China totaled just $20 billion in the first quarter of 2026, against $267 billion in the US.
- Asia-Pacific private credit assets are projected to grow from $59 billion in 2024 to $92 billion by 2027, with China accounting for a fifth of the region's activity.
- More than 430 applicants are in the IPO pipeline in the second half of 2026 in Hong Kong.
- OpenAI closed a round of more than $100 billion earlier in 2026, while Anthropic raised $65 billion in May 2026.
Context
China's AI development has made significant strides in recent years, with the country's models rapidly closing the performance gap with US counterparts. However, funding remains a significant challenge, with US firms receiving significantly more venture capital. Chinese startups must explore alternative funding channels to maintain their competitive edge and keep pace in the AI race.
The funding gap is not the only challenge facing China's AI startups. Inflation is taking hold inside the AI economy, with memory prices rising and the war for AI talent intensifying. Chinese startups must also compete with deep-pocketed US rivals and outcompete former employers for AI talent.
Despite these challenges, China's open-weight strategy has given its leading AI companies a cost advantage, and the country's startups have commanded global respect and won a growing customer base. However, keeping pace in the AI race will require using every asset and every channel available, as overseas rivals continue to spend significantly more.