The pace of financing in the AI field is indeed different. There's a typical case worth looking at—

Manus, a company that only launched its product in March this year, was acquired by Meta for billions of dollars after just nine months. Let's talk about their funding path: during the seed round, ZhenFund co-invested $14 million at a valuation, and in the angel round, they directly increased it to a $50 million valuation. Both founders are from mainland China, and the company initially started in Wuhan.

From an organizational structure perspective, the core team is entirely Chinese, supported by Chinese institutions. What does it mean for a local startup to be valued this highly in the eyes of American tech giants? It indicates that opportunities in the AI track are indeed accelerating. Fast funding speeds, short acquisition cycles, and large jumps in valuation—this has become the new normal for AI startups. Compared to traditional internet startups, which take years to reach this stage, the current timeline has been compressed to months.

This also explains why recent AI-related projects and token topics are so popular. The market is re-pricing the entire innovation cycle, and with capital sensing the right direction, execution speed is just like this.