Everyone's obsessed with AI adoption metrics: GitHub stars, investment rounds, and glowing executive pronouncements. The narrative is one of unstoppable progress, a future seamlessly integrated with AI. They're wrong. A silent resistance is building, not in regulatory filings, but in human behavior. A college instructor battling AI essays with typewriters isn't just a quirky anecdote, it's a symptom. This resistance—the friction point where the theoretical future meets human reluctance—isn't being priced into the market. It's happening in classrooms, in creative industries, and anywhere humans still value unique, non-generated work. The market is missing the subtle but crucial shift: adoption won't be frictionless, and this friction will constrain growth expectations.

We've seen this before. The dot-com boom was followed by a dot-com bust, not because the internet was bad, but because adoption wasn't as simple as 'build it and they will come.' AI faces the same challenge. The enthusiasm is there, the infrastructure is building, but the human factor—the resistance to relinquishing control, the distrust of the unknown, the desire for authentic creation—is a powerful brake that Wall Street is ignoring. Last week we highlighted the continued micro-cap earnings compression cycle. That compression isn't just about rates; it's about stalled adoption and inflated expectations.

This isn't about AI failing. It's about expectations being drastically out of sync with reality. The market is pricing in frictionless adoption. It should be pricing in the typewriter rebellion.