JAPAN'S TECH GIANTS LAUNCH AI VENTURE FOR 1T-PARAMETER MODEL

Nine major Japanese corporations including NEC, Fujitsu, and Sumitomo Chemical have joined forces to establish the venture. The collaboration targets creating a 1 trillion-parameter foundation model—roughly 10 times larger than current leading models—specifically designed for physical AI applications. Physical AI refers to artificial intelligence systems capable of interacting with and manipulating the physical world through robotics and autonomous systems. The focus reflects growing demand for AI that extends beyond language and text processing into real-world industrial and manufacturing applications. SoftBank leads the initiative, positioning Japan to develop domestic AI capabilities rather than relying solely on foreign technology. The 2030 deadline provides a decade-long development window for the consortium to achieve the ambitious technical and computational goals. The partnership pools resources and expertise across multiple sectors—financial services, consumer electronics, automotive, and industrial manufacturing. This cross-industry approach aims to address diverse use cases from robotics to industrial automation. The move signals Japan's strategic response to AI leadership by the United States and China. By combining institutional resources, the consortium attempts to reduce individual company costs while accelerating development timelines. The venture also represents an effort to establish Japan as a significant player in foundational AI model development, a field currently dominated by American companies. Details regarding funding, organizational structure, and specific technical roadmaps remain unclear. The announcement comes as global competition intensifies around frontier AI model development, with major tech companies racing to scale model parameters and capabilities. Japan's approach differs from the typical U.S. model of individual companies competing separately. The consortium strategy emphasizes collective national competitiveness in AI infrastructure and capability development.