

#10 (EN): Cloud and AI FinOps
Episode notes
Cloud and AI FinOps
In this English episode, Daniel and Nova discuss why Cloud and AI are changing the cost logic of IT leadership: unlimited technical capacity now meets limited budgets, and the old planning and governance processes no longer fit.
Topics in this episode:
- Why Cloud and AI require a shift from capacity monitoring to consumption monitoring
- What FinOps really means beyond dashboards and tooling
- Why Product Owners need real cost ownership and usable unit economics
- How AI can support FinOps through anomaly detection, natural-language analysis, tagging support, and rightsizing recommendations
- Why AI itself becomes a new cost driver through subscriptions, tokens, API usage, and agents
- How token costs, model routing, context size, output length, and self-hosted models affect AI budgets
- Why Shadow AI is both a financial and compliance risk
- How continuous forecasting can replace annual budget rituals
- Why AI costs often arrive on top before efficiency gains become measurable
- Daniel’s personal FinOps lessons from enterprise Cloud and his own private AI setup
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