AI hype often hides negative ROI and expensive verification costs
gerardsans · x · 2026-07-21
A critique of AI hype: negative ROI, stochastic outputs, and costly verification
The quoted post argues that many people overestimate what AI can do in real work:
- ROI is often negative because brute-force scaling burns compute, energy, and time for only marginal gains.
- Model outputs are stochastic suggestions, not truth; failures can be silent, confident, and plausible-looking.
- Verification is mandatory in high-stakes domains, but it is expensive and often costs more than generating the answer in the first place.
The reply is a blunt warning to people experimenting with AI without understanding its current limitations and failure modes.
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