While global investment in AI infrastructure is surging, Japanese companies remain at the PoC stage in advancing AI, and moving into production is taking time. Data sovereignty and ecosystem partnerships are identified as keys to competitiveness, alongside trends and challenges in Japan.
Global investment in AI infrastructure is showing demand at an all-time high. Dell Technologies reported that quarterly orders for AI servers reached a record high, with its order backlog reaching approximately $95 billion. AI server revenue grew by more than 100% year on year, and demand is expanding from hyperscalers and sovereign AI investment to enterprises.
In Japan, however, enterprise production deployments have yet to progress sufficiently, and many companies reportedly remain at the proof-of-concept (PoC) stage. Cited causes include a risk-averse culture, lengthy internal approval processes, a shortage of AI engineers and an unrecognised risk of relinquishing data.
Delayed investment is said to risk widening the gap in the future. Considering the cumulative learning effects of AI infrastructure, companies that adopt it in 2026 could accumulate production-quality data by 2027 and build knowledge assets that significantly distance them from competitors by 2028.
The article emphasises the importance of data sovereignty and ecosystem partnerships, suggesting that Japanese companies need strategies combining internal development and partnerships as they move into production operations.