Total Cost of Ownership Local AI vs Cloud
Total cost of ownership models for AI infrastructure are almost always published by the party selling subscriptions. That framing predetermines the outcome: the hardware column is loaded with capital costs and depreciation complexity, and the subscription column is presented as a clean monthly line. This article builds the model from the other direction.
How Most TCO Models Are Built
How most TCO models are built starts with who is building them. Vendors selling cloud subscriptions present their costs as operational — predictable, scalable, zero upfront. Hardware costs are presented as capital-intensive, depreciation-laden, and administratively burdensome.
The framing is not inaccurate. It is incomplete. It presents year one in detail and leaves the three-year total to the reader's imagination.
What the Cloud Side Costs
What the cloud side costs for a 25-person office breaks into two primary line items: per-seat licensing and API usage. Per-seat licensing for mainstream enterprise AI tools runs $30 to $60 per user per month. For 25 users, that is $9,000 to $18,000 per year.
API charges for any custom integration built on top of those tools add to this total. A 25-person office running moderate API usage alongside seat licenses adds roughly $1,000 to $3,000 annually. The two costs are not always presented together in vendor materials.
This model also assumes the tools in use today are the tools in use in year three. Migrations, re-integrations, and retraining costs when a vendor changes pricing or discontinues a feature are real costs that do not appear in any subscription brochure.
How Cloud Costs Grow Over Time
Cloud costs grow over time because every input to the calculation moves in the same direction. Seat counts grow as the business grows. Usage intensity grows as staff integrate AI more deeply into their workflows. And subscription pricing does not hold flat — enterprise software pricing has increased an average of 5 to 8 percent annually over the past decade.
A 5 percent annual increase on a $9,000 base reaches $9,923 in year three. At $18,000, the same compounding reaches $19,845. Neither figure accounts for additional seats or usage growth. The three-year total at the low end, flat pricing, is $27,000. With modest growth assumptions, it exceeds $30,000 before additional API charges are included.
What the Local Side Costs
What the local side costs is structured differently — most of it lands on day one. A floor-level local AI deployment for a 25-person office carries a hardware purchase, a software license, and integration work to connect the system to the business's actual data. Together, a FactoryOS deployment begins at $10,000 and does not recur.
The ongoing costs are power and maintenance. Power for a purpose-built AI appliance running standard office hours runs under $150 per year. A reasonable annual maintenance and support allowance is $500 to $1,000. Total annual operating cost after setup: approximately $1,000 per year.
Unlike the cloud side, none of these costs scale with usage volume. A team running twice as many queries in year three pays the same operating cost as they did in year one.
Hardware Depreciation Over Five Years
Hardware depreciation over five years means the capital cost does not hit the books in year one — it is spread. At straight-line depreciation over five years, a $10,000 hardware purchase contributes $2,000 per year to the annual cost calculation.
That changes the year-one comparison significantly. The local model does not cost $10,000 in year one for accounting purposes; it costs $2,000 in depreciation plus roughly $1,000 in operating costs. Year-one carrying cost: approximately $3,000. The cloud model's year-one cost at the low end is $9,000.
At year three, the hardware still carries $4,000 in book value on a five-year depreciation schedule. That asset continues operating.
The Three-Year Totals
The three-year totals for a 25-person office: cloud AI at flat pricing runs $27,000 to $54,000, with real-world totals trending higher as usage and pricing grow. Local AI — hardware, software, integration, and three years of operating costs — runs $13,000 before accounting for residual asset value.
Adjusted for the hardware's $4,000 remaining book value at year three, the net three-year cost of the local deployment is approximately $9,000. The cloud model's floor over the same period is $27,000.
What Residual Value Means
What residual value means in a TCO comparison is that the asset column is not symmetric. At the end of year three, a cloud subscription has generated no balance sheet asset. The local hardware carries book value and continues operating at the same cost structure.
This distinction matters to a CFO doing a capital versus operational expenditure analysis. A subscription is an operating expense. Hardware is a capital asset. They are not equivalent ledger entries, and treating them as equivalent in a cost comparison produces a misleading result.
Which Model Costs Less
Which model costs less over three years, for a 25-person office running AI seriously, is not a close comparison at these numbers. The local model reaches break-even against the low-end cloud estimate at approximately 15 months. From that point forward, every dollar of cloud subscription spend is a dollar the local model is not spending.
Higher usage sharpens the comparison in one direction. More seats, more queries, longer context windows, and additional integrations raise the cloud total. They leave the local total unchanged.
The model above uses conservative inputs on both sides. Readers who believe their cloud usage or seat count will grow in year two or year three should run the numbers with that growth included. The direction of the result does not change.