AWS Japan's physical AI program shows data shortage solutions

The AWS Japan support program brought together an unusual mix of participants, from startups under one year old to a general contractor with over 400 years of history. Their common complaint was a lack of data, but their approaches varied. Some, like FastLabel and Takenaka, chose to generate data through simulation. Others, like Telexistence and Ricoh, tried to reduce the amount of data needed or make models less dependent on it.

Japan's position in physical AI is distinct. ZEALS' CEO noted that the US leads in AI models and China in hardware mass production, but Japan has real-world sites with labor shortages that need robots. This insight aligns with the program's focus: turning real-world challenges into data sources. However, as the program ends, the larger test begins: whether these prototypes can become reliable products and scale into sustainable businesses. The next phase under AWS Japan's existing generative AI program will reveal if that momentum continues.