How should we budget for generative AI when costs are so unpredictable?
AI Strategy & GovernanceStop budgeting AI like infrastructure and start budgeting it like R&D. Traditional cloud costs are relatively predictable — you provision capacity and pay for it. Generative AI costs scale with usage in ways that are harder to forecast: longer prompts cost more, chain-of-thought reasoning multiplies tokens, and user adoption can spike unpredictably.
The practical approach is to set cost guardrails, not fixed budgets. Define a cost-per-unit metric (cost per customer query, cost per document processed) and set alerts when unit costs exceed thresholds. This gives teams freedom to experiment while maintaining financial accountability.
This question reflects common advisory themes. It is editorially curated, not sourced from individual conversations.
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