Most 2027 AI budgets are being built the same way 2026's were - as a single line item labelled "AI". The CFO signs it off once, then everyone moves on.

That's already the wrong model.

The organisations seeing real returns are budgeting for AI the way they budget for any strategic capability:

- Infrastructure and compute
- Platforms, tools and licences
- Verification, governance and workforce adoption

That third category is where most organisations materially underestimate cost.

Model subscriptions are relatively inexpensive (for now). Verifying outputs, governing risk, redesigning workflows and building workforce confidence are not. Without sustained investment in those capabilities, AI becomes another underutilised technology rather than a source of competitive advantage.

The CFO conversation that matters isn't, "How much should we spend on AI?" It's, "What return do we expect from each initiative, over what timeframe, and which investments are we deliberately making despite an 18-month payback?"

Treating AI as a single budget line guarantees poor decisions. When budgets tighten, the easiest cuts are often the very investments that determine whether AI delivers value at all.

If you're still presenting AI as one number to your board, you're making next year's budget cuts both easier and less intelligent.

#AI #AIStrategy #EnterpriseAI #DigitalTransformation #BoardGovernance