At the crossroads of a technological explosion in 2026, where will the future trend point? Li Jin, a National People's Congress representative and founder of Xiaomi Group gave two decisive conclusions in an exclusive interview: 2026 is not only the breakthrough year for L3/L4 level autonomous driving, but also the true starting point for embodied intelligent large models.
As a "workhorse" in the tech circle, Li Jin prepared five proposals for the Two Sessions this year, focusing on cutting-edge fields such as humanoid robots, intelligent driving, and technology-related philanthropy. In his view, China's technology industry is at a critical stage of high-quality development.
In the field of intelligent vehicles, advanced driver assistance systems are rapidly moving from "laboratory verification" to "mass production." Li Jin pointed out that with the maturity of L3 and L4 level autonomous driving technologies, traditional road traffic safety systems are facing new challenges. He suggested accelerating the construction of standards for automotive intelligent technologies, and even optimizing the motor vehicle driving examination items, so that the driver's examination standards can keep up with the development of new vehicle technologies, building a solid foundation for safe travel in the intelligent era.
In the field of robotics, Li Jin's vision is more far-reaching. He predicts that embodied intelligent large models will witness an unprecedented surge in investment this year. Although humanoid robots are still in a painful period of transitioning from "apprentices" to "official workers," facing bottlenecks such as high hardware costs and poor process stability, their potential as disruptive products has already begun to show.
From the practical experience of "humanoid robots + automobile manufacturing," this combination can significantly reduce costs and improve efficiency. Li Jin called for accelerating the breakthrough of engineering implementation challenges, expanding the application scenarios of smart manufacturing, and letting these "AI labor forces" truly enter factories and change productivity.
This is not only a competition of technology, but also a reshaping of the industrial ecosystem. When cars learn to "think" and robots gain "souls," the Chinese tech landscape in 2026 is, under the guidance of pioneers like Li Jin, showing unprecedented ambition.
