Expert Insights on Navigating the Tech-Driven ‘Physical AI’ Up-Cycle

VettaFi recently sat down with Morten Paulsen, head of research for robotics & machinery at CLSA, to discuss the transition of physical AI into a tech-driven industrial up-cycle. Paulsen projects that persistent U.S. labor shortages will drive domestic robot shipments toward a historical high of 40,000 units in 2026.

Paulsen is a strategic advisor for VettaFi’s ROBO Global Indexes, which underlie the ROBO Global Artificial Intelligence ETF (THNQ) and the ROBO Global Robotics and Automation Index ETF (ROBO).

VettaFi: You’ve been covering industrial automation for decades and have unique visibility into different markets. Here in the U.S., there’s renewed excitement around new robotic form factors and physical AI. Are you seeing that same enthusiasm in Japan and China?

Paulsen: Yes, when we look at robots globally, “Physical AI” was clearly the big buzzword in 2025. It started at CES in January when Jensen Huang named robotics as an enabler of AI in the physical world. Humanoid robot builders were very quick to point out that their robots were the answer to that vision.

I think it changed a bit in October 2025 when SoftBank Group acquired ABB Robotics for $5.4 billion. That was a turning point where the broader market realized physical AI wasn’t limited to robots with a human form factor, but applied to a much broader range of automation equipment. That triggered a rally in other industrial robotic names in Japan — Fanuc and Yaskawa, for example.

Regarding investor interest in Asia… In China, Hong Kong, and Singapore, the investor base has been very focused on the humanoid form factor, whereas I see less interest in that specifically in Japan. Japan, the U.S., and Europe are more similar in that sense.

VettaFi: What are your thoughts on Japan’s industrial and robotics adoption and usage of artificial intelligence?

Paulsen: AI has the power to make robot applications more powerful, and I also think that we can start to see the development of new business models.