Before ChatGPT made "AI" a household term, machine learning was already running fraud detection, call routing, factory robotics and autonomous insulin dosing, with B2B encountering AI before consumers because the stakes and data existed first in factories, hospitals and enterprise support queues. For most people, "AI" arrived in late 2022, when a chat box could suddenly hold a conversation; UBS analysts estimated that ChatGPT reached 100 million monthly users within roughly two months of launch. What changed in 2022 was not the arrival of AI but its visibility, as the underlying technology was not a fundamental breakthrough. Customers were never reacting to the technology itself, only to whether their problem was understood and owned, and they often judge how you work the problem—whether the right questions were asked, whether the issue was captured properly, whether someone owned the path forward—more than the immediate fix. The process is sometimes more important than a solution that isn't always there, and this explains why the current wave of AI in customer experience is being misread, as the consumer chat moment simply pulled back the curtain on AI that had been running quietly inside products, factories, hospitals and cars for years.