Li Xiang: Ordinary People Use AI at an Amateur Level — Professionals Can Amplify It 100x

Li Xiang's argument

Li Xiang (李想), founder and CEO of Li Auto (理想汽车), argued that public use of generative AI today remains largely at an amateur level, while trained professionals can multiply its impact dramatically. It has been reported that Li said ordinary users are experimenting with AI tools but lack the workflow integration, domain knowledge and datasets to extract real business value — professionals, by contrast, can reportedly amplify productivity by as much as 100 times when AI is embedded into expert processes.

What he meant and why it matters

Why the gap? Li framed it as a tooling and data problem. Casual prompts on consumer apps produce novel outputs, but true leverage requires model tuning, customized pipelines, secure data access and human-in-the-loop validation. Li Auto itself is pushing into software-defined vehicles and in-car computing where such integration matters: building reliable driver assistance and automated features demands engineering rigor far beyond a consumer prompt.

Industry and geopolitical context

The comment lands amid an aggressive scramble in China to commercialize AI across industries — from internet firms to automakers — at the same time the sector faces Western export controls on advanced chips and other tech. Those policies complicate access to cutting-edge hardware, making software optimization and localized training capacity even more critical. It has been reported that Li’s remarks reflect a broader industry belief in China: winners will be those who industrialize AI inside professional workflows, not just popularize consumer tinkering.