Why Do We Keep Paying for AI?
You licensed AI for the whole organisation this year. Months later a team says a customer-facing service needs AI again: different product, different pricing model, recurring bill. The fair reaction is to ask why you are paying twice. This series answers that in plain language, for the people who hold the budget — the distinction that resolves most of the confusion, the two pricing models underneath it, what reserved capacity really costs, why data residency is a cost driver rather than a footnote, and a one-page way to decide which AI to pay for, for which need.
8 articles
- Part 1You bought Copilot. So why is there another AI bill?You licensed AI for the whole organisation this year. Now a team says a customer-facing service needs AI again — different product, different bill. It is not the same purchase twice, and the misunderstanding is quietly costing organisations money.7 min read
- Part 2AI for your people vs AI in your productsOne distinction clears up most arguments about AI spend: are you buying AI to help your people, or building AI into your products? Nearly every 'why are we paying twice' dispute is really a failure to separate the two.7 min read
- Part 3Per-seat vs per-use: the two ways AI is pricedOne AI product bills you per person. The other bills you per use, measured in tokens. Confuse the two in your budget and one of them will surprise you — usually in the month the service starts working.7 min read
- Part 4Renting a lane vs paying per trip: reserved AI capacity explainedWhy are we paying to reserve AI capacity we are barely using? It is a fair question. Reserved capacity is a bet on volume, and the classic mistake is placing the bet before the traffic exists.7 min read
- Part 5Why AI is an operating cost, not a once-off purchaseLeaders expect to buy the AI and be done. But AI behaves like electricity, not like a photocopier — you pay for it as long as it runs. That single shift changes which questions are worth asking.7 min read
- Part 6Keeping AI in the country: why data sovereignty can cost moreJust use the cheaper option. Sometimes you cannot — and for regulated and public-sector organisations that constraint has a price tag. Put it in the business case up front, not in the redesign.7 min read
- Part 7Governing the AI bill: FinOps for AIThe AI bill is not a runaway train — but only if someone is driving it. The controls are unremarkable; what is usually missing is an owner, six honest numbers and the discipline to scale spend with value.7 min read
- Part 8So which AI should we actually pay for?After all of it, the leader's real question is simple: which AI do we pay for, for which need? A one-page decision guide, and four questions to ask before funding the next line item.7 min read
Working through any of this in your own organisation?
These articles come out of delivery work rather than theory. If the problems in this series look familiar, a short scoping conversation is usually the quickest way to work out what is worth doing first.
Talk to CloudNala