Nvidia (NASDAQ:NVDA) has announced new partnerships with several Japanese industrial companies, including Fanuc and Yaskawa Electric, as it seeks to accelerate the adoption of artificial intelligence and robotics across the manufacturing sector.
Nvidia deepens its presence in Japan
Speaking at a media event in Tokyo, Nvidia Chief Executive Jensen Huang outlined the company’s vision for the next generation of intelligent automation.
“With AI, robots will become smart, easily adaptable and accessible,” Huang said.
The collaborations are expected to combine Nvidia’s AI technologies with Japan’s expertise in industrial automation and robotics, supporting the development of more advanced manufacturing systems.
Huang attracts strong attention during Japan visit
Huang’s visit to Japan has generated significant public interest, reflecting his growing profile across Asia.
On Wednesday, he attended an event hosted by gaming company Sega Sammy in Tokyo’s Akihabara district before later dining at a traditional Japanese izakaya.
His appearances drew large crowds, particularly among technology enthusiasts and visitors familiar with his role in the global AI industry.
“I think he’s the most influential man on Earth,” said Chang Hui-Yu, a 57-year-old Taiwanese tourist, speaking outside the Sega event.
“It was my first time seeing Jensen Huang in person and I was so excited,” said Brian Yang, 37, who is Taiwanese and lives in Tokyo.
AI investment cycle remains under the spotlight
Huang was also photographed with senior executives from several major Japanese semiconductor supply chain companies, including the chief executives of Kioxia and Tokyo Electron.
The meetings come as investors continue to assess the strength of global spending on artificial intelligence infrastructure.
Earlier this week, ASML (EU:ASML) raised its sales outlook and confirmed plans to expand manufacturing capacity, while Taiwan Semiconductor Manufacturing Company (NYSE:TSM) is widely expected to report a fifth consecutive quarter of record earnings, supported by sustained demand for AI chips.
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