Understanding the Market | Li Auto-W rose over 10% as the company reportedly plans to launch two robotic products within the year, with AI technology potentially achieving migration and reuse
Complete. Here is the key summaryLi Auto's stock price rose over 10% due to plans to release two robots, a dual-wheel and a biped, within the year. The company is restructuring its intelligent department, with an expected R&D investment of 12 billion yuan by 2026, with AI accounting for 50%. The self-developed VLA model and M100 chip are progressing smoothly, and the industry believes that its AI technology is likely to be transferable and reusable for robot products
According to Zhitong Finance APP, Li Auto-W (02015) rose over 10% in the morning, and as of the time of publication, it was up 10.41%, priced at HKD 54.85, with a transaction volume of HKD 970 million.
In terms of news, according to market media reports, Li Auto has recently planned two products: a two-wheeled robot and a bipedal robot, with the two-wheeled robot primarily aimed at factory scenarios and scheduled for public release within the year. In terms of organizational structure, Li Auto restructured its intelligent department in February 2026, forming three teams: humanoid robots, software entities, and base models, with the humanoid robot project codenamed "Nexus." Li Auto stated that the company is simultaneously laying out autonomous driving in the first half of embodied intelligence and general humanoid robots in the second half, with total R&D investment expected to reach up to 12 billion yuan in 2026, of which AI-related investment accounts for about 50%.
It is worth mentioning that Li Auto's self-developed VLA driver large model has a monthly usage rate of up to 91%, with user penetration rates among the industry leaders; the self-developed intelligent driving AI inference chip M100 has completed sample testing and is expected to be delivered with new vehicles in 2026. This chip is anticipated to have a cost-performance advantage in visual task processing and large model inference scenarios compared to some current high-end chips. Industry insiders believe that these AI technologies are expected to be transferred to robot products, achieving technology reuse
