Part 6/16:
One common misconception is the idea of an AI "bubble"—that demand will inevitably plateau. However, industry experts argue that the growth trajectory is driven by fundamental shifts in technology and economics rather than speculative hype. Demand for AI tokens has skyrocketed, with models growing from gigabytes to terabytes in training size. The computational requirements for training and inference are multiplying faster than Moore's Law's traditional scaling.