On September 22, reports indicated that while China's AI industry has made notable breakthroughs at the application level, there remains a pressing need for sustained, stable, and dedicated capital investment in areas such as underlying infrastructure, core algorithms, and high-end chips. As a cutting-edge technology, AI is distinguished by its lengthy development cycles, high levels of uncertainty, and substantial initial investment requirements. Without the unwavering support of patient capital, numerous AI technologies are likely to falter in their transition from the laboratory to the marketplace, ultimately failing to achieve productization and commercialization, and struggling to gain widespread acceptance among the general public.

Fueled by 'quick-in, quick-out' speculative capital, some immature technologies may be prematurely thrust onto the market, thereby incurring significant risks. Conversely, with the backing of long-term, stable, and committed capital, AI technologies are afforded greater opportunities for research and development, as well as ample space for trial and error. This, in turn, enables them to establish a solid foundation, undergo steady iterations, and ultimately realize high-quality implementation and empowerment across a diverse array of industries.