


The AI industry spent $61B on data centers in 2025 and is racing toward $1T by 2030. Everyone assumes that acquiring more hardware, building more facilities, and extracting more power is the solution. What many fail to acknowledge is that GPUs are sitting idle while workloads queue. Hyperscalers sell rigid packages that produce shortages and waste at the same time. The real problem lies in coordination, not capacity. ↓ Read COO/CFO Cheng Wang’s latest thesis aijourn.com/the-mirage-of-…























