Ask HN: What is an optimal game theoretic response to AI adoption?
TL;DR
A Hacker News post argues that widespread AI use degrades quality: people use AI in domains where they aren't experts, replacing expert collaboration with solo AI builds. The author wants to game out different AI adoption scenarios with the community — how should knowledge workers respond strategically rather than just chasing hype? An interesting framing for anyone tired of AI-or-die FOMO.
Nauti's Take
An honest framing of an under-discussed AI question. Opportunity: using AI as an amplifier of existing expertise (not a substitute) is a strong move for any pro.
Risk Nauti sees: if expert-to-expert collaboration gets replaced by solo AI builds in domains people don't understand, average quality drops fast. Smart play for pros is to deploy AI where they already know the terrain — generalists face the steeper downside in a flood of mediocre output.
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