Xiaomi is significantly increasing its investment in core technologies, including self-developed chips, operating systems, and artificial intelligence, as part of a broader push for technological self-reliance. The company's founder, Lei Jun, emphasized that private firms must accelerate the commercialization of innovations, leveraging their market proximity to quickly scale new products.
Xiaomi has already invested over 100 billion yuan in R&D over the past five years and plans to spend 200 billion yuan more in the next five. A key near-term goal is to integrate its in-house chip, operating system, and AI model into a single device this year.
The main topics covered are Xiaomi's strategic focus on core technologies (chips, OS, AI), its substantial R&D investments, and the commercial application of innovations, within the context of China's push for technological self-reliance and the industry race in areas like humanoid robotics.
Xiaomi deepens push into chips and AI as peers race to develop humanoid robotics
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Lei Jun, founder, chairman and CEO of the Beijing-based smartphone and electric vehicle giant, on Tuesday said private technology firms must deepen investment in core technologies and speed up the commercialisation of innovation.
“Private enterprises’ biggest advantage is their proximity to the market and users,” Lei said in an interview with state-run China News Service. “They can respond quickly and rapidly apply new technologies to real-world scenarios, forming scalable products and solutions.”
Xiaomi had invested more than 100 billion yuan (US$14.5 billion) in research and development over the past five years, achieving breakthroughs in self-developed chips and other core technologies, according to the report.
Lei’s remarks echoed comments he made at a company awards ceremony last month, where he said Xiaomi expected to integrate its in-house chip, operating system and self-developed large AI model in a single device this year. At that event, Lei pledged 200 billion yuan over the next five years in core technology research, targeting breakthroughs in foundational areas such as chips, operating systems and AI, while also advancing innovation in robotics.