Adoption in tech hits escape velocity when utility outruns skepticism.
Look at Bitcoin: it starts as a wild idea for the fringes in 2011, but by now, volatility's dropping, stablecoins are exploding, and institutions are circling a $5T prize. That's not luck—it's proof piling up. Retail owns most, but as regulations flip supportive, public markets let normies dip in without the gut-wrench workout private investors endure. Stablecoins could even hack the dollar's monopoly, letting governments sell bonds direct, skipping middlemen bloat.
Same vibe in consumer AI. ChatGPT isn't viral like TikTok; it's pure value, snagging 1B users and already chipping Google searches by 8-11% in subscriber data. Small drops, but they compound—Google's quaking, reintegrating AI feels like a band-aid on a sinking ship. Metrics hold steady despite rivals, building network effects no competitor can touch yet.
Devs are the canary here too. Post-2025, AI's writing most code; engineers barely crack an IDE anymore, delegating to agents like Codex. Speed gains (40% faster) hook them, reviews are AI-sharp, and open standards keep it competitive without lock-in. IDEs? They're morphing into planning hubs.
The pattern clicks: Disruption begins with outliers sniffing opportunity in the noise—libertarian coders, deal-makers, forward-thinking engineers. Hype fades, but real adoption embeds when it solves pains better and faster. Skeptics cling to old guards, but data doesn't lie—these shifts start tiny, end tectonic. Regs and efficiencies tip it mainstream, leaving dinosaurs yelling denial.
Thought: We're midway; next is total rewrite of how we build and value everything.
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