TREE NEWS reports: A market observer argues that AI application layers should not be priced based on tokens but anchored to recognizable work value. This perspective highlights a disconnect between token valuations and actual utility in AI×crypto projects.
AI app layer should price by identifiable work value, not tokens
The critique targets a structural flaw in AI×crypto pricing: token metrics often decouple from the tangible output users pay for. If the app layer shifts to value-based pricing, it could realign incentives for developers and enterprises, making utility the benchmark rather than speculative token flows. The open question is whether existing projects can transition their models without losing speculative interest, or if new entrants will force the standard. This matters for anyone evaluating the sustainability of AI-crypto integrations, as pricing logic ultimately determines which use cases survive beyond hype cycles.
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