What Does Cloud AI Actually Cost Per Year
Most businesses using cloud AI have not run the annual number. They have seen a monthly bill or a per-seat price, but they have not multiplied it out, stress-tested it against growing usage, or held it next to a capital expenditure alternative. This article does that math for a 25-person office.
Cloud AI Bills Per Token
Cloud AI bills per token - the unit of text the model reads and writes. Every prompt a user sends is converted to tokens on the way in, and every response is converted to tokens on the way out, and each token carries a fraction-of-a-cent cost that accumulates across every query, every user, every working day.
A token is roughly three to four characters of English text. A one-sentence question is around 20 tokens. A paragraph of context attached to that question adds 150 to 300 more. The response that comes back is another 100 to 500 tokens, depending on length.
Most users never see the token count. They see a response. The billing system sees a transaction.
Daily Usage for 25 People
Daily usage for 25 people adds up faster than the per-query cost suggests. At 30 AI interactions per person per day - a conservative estimate for staff who have integrated AI into regular work - the office runs 750 queries on an average workday.
At roughly 1,000 input tokens and 500 output tokens per query, each interaction consumes approximately 1,500 tokens. Multiplied across 750 daily queries, the office uses 1,125,000 tokens per day.
That is a single average day. It assumes no document uploads, no multi-step research tasks, and no custom workflow integrations that run queries in the background. Those push the number higher.
Annual Token Volume
Annual token volume for this office reaches approximately 292 million tokens over 260 working days. That number is the raw material for pricing - the volume that enterprise rates get applied to.
It also assumes usage stays flat across the year. Offices that expand AI adoption, process longer documents, or build integrations on top of their primary tools see this number grow. The calculation below uses 292 million tokens as the floor.
Standard Enterprise Pricing
Standard enterprise pricing for frontier AI models runs roughly $2 to $5 per million input tokens and $8 to $15 per million output tokens. Applied to this usage profile at mid-range rates, the annual API cost for 292 million tokens lands around $2,400.
Per-seat licensing changes the structure but not the direction. Microsoft 365 Copilot is $30 per user per month. ChatGPT Enterprise runs $60 per user per month. For 25 users, that is $9,000 to $18,000 per year before any additional charges from custom workflows built on the API.
Most businesses end up paying both - a seat license for the primary tool their staff uses and API charges for any integration the business has built on top of it.
What the Annual Total Is
What the annual total is, for a 25-person office using cloud AI seriously, runs between $9,000 and $18,000 for year one. That range covers per-seat licensing only. Add API usage for integrations and the number moves up.
Year one is the number that appears in budget discussions. It is also the least useful number for understanding what cloud AI actually costs.
How Costs Compound Over Three Years
Costs compound over three years because subscriptions do not depreciate - they recur. At $9,000 per year, three years totals $27,000. At $18,000 per year, the three-year total is $54,000.
These figures assume pricing holds flat, seat count stays at 25, and no additional API usage is added. Subscription software pricing does not historically hold flat. A growing office adds seats. A more capable AI strategy adds integrations. Real three-year totals for an actively using organization trend above both figures.
At the end of year three, the balance sheet carries none of it. When the subscription lapses, the asset value is zero.
Local Hardware as an Alternative
Local hardware is an alternative that changes the cost structure entirely. A purpose-built AI appliance for a 25-person office enters the balance sheet as a capital asset, depreciates over five years, and does not charge per token or per seat.
A floor-level FactoryOS deployment - hardware, software license, and custom integration - starts at $10,000, paid once. Query volume does not affect the annual operating cost. The integration work is done at setup and does not recur with usage growth.
The Numbers Side by Side
The numbers side by side: $10,000 one-time against $27,000 to $54,000 over three years for the same 25-person office. The arithmetic does not require a conclusion to be stated.
The only variable that changes this comparison is usage volume. Lower usage narrows the gap. Higher usage - more employees, more integrations, longer context windows - widens it in one direction.