AI economy
Data-centre energy forecasts are not forecasts of your AI software bill
Keep infrastructure scenarios separate from the unit economics of a business application.
Zocri · 2 min read · Sources checked
Infrastructure demand is several steps from your invoice
The IEA's Energy and AI report models multiple scenarios for data-centre electricity demand. These are infrastructure scenarios, not forecasts of the retail price of a particular business application. A small company should avoid assuming that a rising energy estimate means its software bill must rise by the same proportion.
The connection depends on several commercial choices between the electricity supply and the customer invoice. Your immediate task is more concrete: understand what the supplier charges for and how the business's own usage changes that charge. This can be assessed without predicting the entire energy market.
Identify the billable activity
Ask whether charges depend on users, requests, generated output, storage or a combination. Translate the billing unit into a familiar business event such as one completed inquiry. Include retries and review steps that trigger additional usage, rather than budgeting only the ideal successful path.
If the supplier cannot explain the charge in a way the owner can monitor, the uncertainty itself belongs in the purchasing decision.
Run a volume sensitivity check
Estimate cost at an ordinary week, a busy week and an exceptional spike. Use observed usage from a small trial where possible. Separate the fixed subscription from variable charges so the business can see which part changes as customer activity grows.
Keep hypothetical calculations clearly labeled. The point is to identify a spending boundary and the operating action needed when it is reached, not to publish a precise long-term forecast unsupported by the contract.
Ask how the service degrades
Find out what happens at a usage limit or during supplier congestion. Does the assistant pause, queue work or require a higher plan? Ensure staff can recognize the state and continue important customer tasks through an agreed fallback.
A cheap average cost may be less attractive if the service becomes unavailable precisely when the business is busiest.
Review the contract when the market changes
Monitor actual cost per completed task and the supplier's communicated price changes. Reassess when the task mix, volume or available alternatives change. Keep a usable record export and a process description so a future switch can be evaluated concretely.
This is our software budgeting analysis. The IEA evidence explains why infrastructure constraints deserve attention, while local usage and supplier terms determine the near-term business decision. Treating those levels separately produces a clearer plan than trying to infer your next invoice from a global electricity headline.