In a wide-ranging conversation with entrepreneur Luo Yonghao, Li Xiang, the founder and CEO of Li Auto, offered a contrarian take on the impact of artificial intelligence on the corporate workforce. While many tech giants view AI as a tool for immediate headcount reduction, Li warned that aggressive layoffs risk purging the very talent needed for the next era of innovation. He suggested that the standards for excellence are shifting so rapidly that old metrics of productivity may now be obsolete.
Li’s core argument centers on the shift in talent requirements. He posits that the skills valued in previous industrial or software cycles may no longer align with the demands of an AI-integrated economy. By firing staff based on legacy performance metrics, companies might inadvertently dismiss high-potential individuals whose capabilities are better suited for the emerging technological landscape than those who simply followed the old rules.
Instead of top-down downsizing, Li Auto is adopting a philosophy of natural selection through technological evolution. Li suggested that as AI tools are integrated into the company’s operations, a natural screening process occurs. Those unable to adapt or who lose faith in the firm’s trajectory will depart voluntarily, ensuring that the remaining workforce is organically aligned with the future of the company without the trauma of forced cuts.
Addressing the popular Silicon Valley vision of the one-man company enabled by AI agents, Li expressed skepticism based on his own internal testing. He noted that while individual productivity may spike, the immense complexity of building a stable, production-grade environment remains beyond the reach of a solo operator. For Li, the current fascination with solo AI enterprises often masks a lack of actual output and a failure to build scalable systems.
Finally, Li challenged the assumption that autonomous driving will decimate private car ownership. Drawing a parallel to the distinction between renting and owning property, he argued that limited road infrastructure—rather than the number of vehicles—remains the true bottleneck. As the friction of driving disappears, the demand for the privacy and status of a personal vehicle is likely to rise, as affluent consumers prioritize better lifestyles over the inconveniences of shared transport.