What AI actually costs.
The first price is rarely the final number. Published research shows how quickly AI budgets can change after approval.
“AI spend” can describe two completely different bills.
A multi-trillion-dollar forecast can include chips, devices and servers. A software forecast does not. Both can be accurate and still be useless for comparing your budget.
Define the cost boundary before comparing the number.
Broad forecasts describe the market around AI: infrastructure, hardware, software, services and models.
Your company should benchmark its operating budget against that entire market.
The approved budget rarely survives contact with production.
Published FinOps research shows that AI cost behavior changes as usage scales. A pilot price is context—not a complete operating forecast.
Model access is not implementation.
A limited test with a narrow cost boundary.
An operating commitment with a changing total.
Two prices can look comparable and include completely different things.
A low opening number is not useful if the missing obligations appear later. Ask for the complete price before choosing the cheaper one.
Compare complete numbers—not headlines.
Looks lower because part of the commitment is missing.
Lets the business make an honest comparison.
A cheap pilot can still become an expensive commitment.
The business needs one complete number and one clear expected result. How Odau produces that answer remains private.
Make the complete commitment visible.
Keep testing whether the result justifies it.
Sources and method
- ABI Research, global AI software market
- Menlo Ventures, State of Generative AI in the Enterprise 2025
- Gartner, worldwide IT spending forecast, February 2026
- FinOps Foundation, FinOps for AI