The AI industry is shifting focus from model training to inference in 2026, as large language models become widely deployed and reasoning models generate vastly more queries. Tech giants including OpenAI, Amazon, Nvidia, and Anthropic are forming unexpected hardware partnerships and acquiring specialized inference chips to meet explosive demand that differs fundamentally from training workloads.
Nvidia achieved tenfold quarterly data center revenue growth over two years with strong momentum continuing. Analyst argues AI is not a bubble, citing reasonable valuations (30x P/E vs. 70-100x in dotcom era), early-stage adoption comparable to 1994-1999, overwhelming demand for AI computing capacity, and a generational computing shift requiring infrastructure restructuring across the $5-6 trillion IT spending market.