Nearly all the business media coverage of AI focuses on the eye-popping sums being deployed into data center infrastructure that drives the “compute” coveted by leaders in the AI industry. That “compute” provides the raw processing power required to train, build, and run AI systems. Think of it as the engine behind the technology. The tech community is expected to invest more than $750 billion into data centers this year alone. Estimates for total cumulative spend on the humming warehouses reach over $7 trillion by 2030. Such mind-boggling numbers and the circular financing arrangements to drum up the necessary capital have understandably generated a lot of buzz about a potential bubble comparable to the dot-com bubble.

Full commentary : Most enterprises are burning AI budgets on tools they’re not ready to use.