On March 4, 2026, Liang Jun, a National People's Congress representative and chairman and CEO of Xiaomi Group, officially submitted five proposals focusing on frontier areas such as general-purpose humanoid robots, intelligent driving safety, technology-related public welfare, and talent development. The aim is to accelerate the deep integration of China's AI and intelligent manufacturing industries through policy and technical standards collaboration.
Liang Jun pointed out in his proposal that humanoid robots, as a disruptive product following smartphones and new energy vehicles, are currently at a critical stage of transitioning from laboratories to industrialization. Although China has an early advantage in the technology field, bottlenecks such as poor process stability, high hardware costs, and limited application scenarios have left humanoid robots in a "apprentice" phase. To address this, he suggested accelerating breakthroughs in engineering implementation challenges, expanding intelligent manufacturing application scenarios, and establishing a safety standard system to promote the transition of humanoid robots into "formal workers," injecting new momentum into economic development.

Regarding the large-scale application of intelligent driving, Liang Jun emphasized the need to build a traffic safety civilization system for the era of intelligent vehicles, addressing challenges such as non-uniform technical standards and lagging driver training. At the same time, he proposed establishing a first-level interdisciplinary subject called "Intelligent Electric Vehicles," to cultivate "comprehensive and cross-disciplinary" talents through the integration of industry and education, supporting the competitive ecosystem of the industry. In terms of innovation mechanisms, Liang Jun suggested including corporate and individual technology-related public welfare activities in innovation evaluations, guiding social forces to integrate into the national innovation system. Additionally, optimizing the industrial tourism environment and creating a "Made in China" brand were also included on the agenda.
This set of proposals reflects the industry trend of AI technology shifting from isolated breakthroughs to systematic implementation. By building a closed-loop ecological system from hardware standards, talent teams to social governance, it will significantly enhance China's global core competitiveness in general AI and intelligent connected vehicle fields.
