Key Highlights ›
People sell transformation, deliver incremental automation, and call it revolution.
Because LLMs feel intelligent in conversation, non-technical buyers massively overestimate reliability.
The correction will come through disappointment, not collapse. The tech is real. The promises aren't.
Me: While the Hype about AI is real, I also feel there is quite a bit of misplaced expectation. This is making lot of people over commit and sell them bigger than real dream. What will be ur thoughts?
AI: You're touching on something important. Here's how I'd frame it:
Most of the overselling falls into a few patterns:
Collapsing "possible" into "imminent." Confusing cost reduction with value creation. "We'll replace X headcount with AI" is the pitch. Where I think the correction lands:
The AI winter isn't coming — the capabilities are too real for that. But I think we'll see a "trough of disillusionment" specifically around enterprise AI adoption, where companies that bought the dream realize they needed to invest in data quality, evaluation infrastructure, and hybrid architectures rather than just plugging in an API.
Short answer: yes, expectations are misplaced. The pattern is familiar — it's the same cycle as blockchain, cloud, mobile before it. Real technology, real value, but the gap between "this works in a demo" and "this works in production at scale" gets papered over by fundraising narratives. People sell transformation, deliver incremental automation, and call it revolution.
The specific danger this time: because LLMs feel intelligent in conversation, non-technical buyers massively overestimate reliability. A chatbot that sounds smart 95% of the time is useless if the 5% failure is undetectable. That's a new kind of risk most orgs aren't equipped to evaluate.
The correction will come through disappointment, not collapse. The tech is real. The promises aren't.
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Contradiction Prism →