AI market faces a reckoning as reliability gaps widen. The technology's transformative potential is real, but emerging operational failures suggest a dot-com-style correction looms ahead. Markets have priced computational intelligence as plug-and-play readiness, ignoring the massive capital and time required for actual implementation. OpenAI's revenue slowdown signals the first cracks in the bubble. History rhymes with the 2000 crash, when infrastructure costs proved far steeper than anticipated. Major tech stocks then dropped eighty percent. Today's AI leaders are raising capital on promises of imminent solutions, but the gap between hype and reality widens daily. When market expectations finally align with operational constraints, the correction could be severe and prolonged.
