Recently, the venture capital landscape for artificial intelligence (AI) has been ablaze with activity. In May alone, domestic large-scale model companies, including Moonshot AI and Stepfun AI, successfully raised over 30 billion yuan in funding rounds. Meanwhile, the embodied AI sector has also captured significant investor interest, with firms like Vital Dynamics and Luming Robotics securing hundreds of millions of yuan in funding within a mere week. According to data compiled by venture capital firms, the AI sector witnessed nearly 600 financing events in the first quarter of this year, amassing a total of over 110 billion yuan in funding. This represents a substantial year-on-year increase of 185.4%, underscoring the sector's robust growth trajectory.

Post-funding, AI startups are strategically allocating their capital to three primary areas. Firstly, research and development (R&D) remains a top priority, with leading large-scale model companies planning to invest billions of yuan in R&D by 2025, a figure that far outstrips their current revenues. Secondly, computing power is a critical focus, with GPU procurement and cloud service leasing accounting for a significant 30% to 50% of the raised funds. Lastly, recruiting top-tier global talent is another key area of investment, as companies seek to bolster their competitive edge.

The increased R&D investment has spurred a rapid acceleration in the pace of technological iteration. It is anticipated that by 2026, the iteration cycle for Chinese large-scale model companies will generally shorten to less than three months. Concurrently, the cost of AI inference is expected to plummet, further expediting the commercialization process of AI technologies.