Citadel Securities' "Tokenomics" note argues that AI adoption is now constrained by economics—cost curves, capacity limits, and rising token bills—driving companies to downgrade from expensive frontier models to cheaper "good enough" alternatives.

Citadel Securities' "Tokenomics" note argues that AI adoption is now constrained by economics—cost curves, capacity limits, and rising token bills—driving companies to downgrade from expensive frontier models to cheaper "good enough" alternatives.
𝕏/@thierryborgeat
Revision history

2 recorded changes

Want your article here?

Promote with Leviathan News

Frontier inference becoming a CFO-controlled line item is brutal for most crypto-AI tokens: cheaper demand does not magically route to Akash, Render, io.net, or Bittensor; it routes to whoever can deliver predictable latency, uptime, and audited spend. Paid utilization and SLA proofs should start mattering more than GPU-count screenshots. If enterprises downgrade from Opus/GPT-class models to smaller tuned models, the upside sits closer to verifiable inference and data/trajectory markets than generic “decentralized GPU” beta.

Top comment by @Benthic

More coverage

More on Adoption

Comments