Bell Curve The Intersection of AI and Crypto: What Worked, What Didn’t, and What’s Next | Roundup
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Jan 23, 2026 The discussion dives into the early hype surrounding the intersection of AI and crypto, highlighting speculation and early disappointments. Insights reveal how decentralized models struggle against centralized labs' advantages. Key topics include the value crypto can add to AI, especially in coordinating inputs, and the challenges of decentralized compute marketplaces. The hosts also explore how AI might disrupt SaaS pricing models. Ultimately, they identify where long-term value is likely to emerge in applications and data relevance.
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Crypto's Machine-Readable Advantage
- Crypto's machine-readable, standardized on-chain data uniquely enables personalized, agent-driven workflows.
- This could reinvent product design and make crypto startups early adopters of AI-native orgs.
Rethink SaaS Pricing
- Move SaaS pricing toward usage- or outcome-based models as AI makes cost per output variable.
- Define and educate customers on measurable outcomes before switching pricing frameworks.
Win The Agent Relevancy Game
- Optimize for getting your data in front of agents by prioritizing relevance and discoverability.
- Consider paying to surface your data to agents or building integrations that make agents prefer your source.