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Follow the AI tokens: How CTOs can manage tokenomics

Deloitte frames tokenomics as an operating-model concern, where model selection, context length, and orchestration choices drive nonlinear AI spend.

Published 2026-03-16Source: Deloitte
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Why it matters

AI costs can jump with deeper reasoning, longer context, and tool use—often invisibly to the business. Deloitte’s point: CTOs need governance, forecasting, and architecture choices that make token growth legible.

Tokenmaxxing read

Treat tokens like cloud unit economics: define what a ‘successful run’ costs, cap runaway contexts, and design prompts/workflows for smaller, reusable context. Your KPI is cost per shipped outcome, not tokens consumed.

Source takeaway

CTOs should manage token growth through architecture and governance choices (model mix, orchestration, infrastructure) because spend is volatile by design.

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