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 five-year total to the reader's imagination.
What the Cloud Side Costs
What the cloud side costs for a 50-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 50 users, that is $18,000 to $36,000 per year.
API charges for any custom integration built on top of those tools add to this total. A 50-person office running moderate API usage alongside seat licenses adds roughly $2,000 to $6,000 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 five. 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 -- SaaS prices have been rising at a double-digit percentage per year, several times general inflation, so even the conservative 5 percent the model below uses still compounds.
A 5 percent annual increase on an $18,000 base reaches $21,879 by year five. At $36,000, the same compounding reaches $43,758. Neither figure accounts for additional seats or usage growth. The five-year total at the low end, flat pricing, is $90,000. With modest growth assumptions, it exceeds $99,000 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. The Private AI Office for a 50-person office carries a single appliance, the FactoryOS license, and remote setup to connect the system to the business's actual data. Together, that deployment is $50,000, paid once, and does not recur.
The only ongoing cost is power. The appliance runs around the clock, averaging roughly 200 watts; at about $0.10 per kilowatt-hour that is approximately $175 a year -- under $300 even running flat out. There is no per-seat license and no mandatory support contract: support is optional, so a box that just sits there working bills you nothing beyond the electricity.
Software updates are included with the license, not sold back as a subscription. The five-year figure is not hiding a maintenance line.
Unlike the cloud side, none of these costs scale with usage volume. A team running twice as many queries in year five pays the same operating cost as they did in year one -- and a team that grows from fifty seats to a hundred pays it too.
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 $50,000 purchase contributes $10,000 per year to the annual cost calculation. The tax return can run faster still -- current law often allows expensing the full purchase in year one.
That changes the year-one comparison. The local model does not cost $50,000 in year one for accounting purposes; it costs $10,000 in depreciation plus under $200 in power. Year-one carrying cost: approximately $10,200. The cloud model's year-one cost at the low end is $18,000.
At the end of year five the hardware is fully depreciated, yet it keeps operating. Years six and beyond cost only the power to run it -- under $200 a year -- while the cloud bill renews in full.
The Five-Year Totals
The five-year totals for a 50-person office: cloud AI at flat pricing runs $90,000 to $180,000, with real-world totals trending higher as usage and pricing grow. Local AI -- the appliance, the license, setup, and five years of power -- runs just under $51,000.
By year five the hardware is fully depreciated but still in service, a paid-off capability rather than a renewing bill. The cloud model's floor over the same period is $90,000, and that is the floor, not the likely number.
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 five, a cloud subscription has generated no balance sheet asset and nothing that keeps working the day you stop paying. The local hardware is fully depreciated but still 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 five years, for a 50-person office running AI seriously, is not a close comparison at these numbers. The local model reaches break-even against the cloud estimate somewhere between roughly 17 and 33 months, depending on where in the seat-price range you land -- comfortably inside the five-year life. From that point forward, every dollar of cloud subscription spend is a dollar the local model is not spending.
That 17-to-33-month figure counts only displaced bills. A return-on-investment view crosses sooner, because it also counts the hours the system gives back.
That early crossover settles the comparison long before year five. Even over three years, the owned system runs about $50,500 against $54,000 to $108,000 in cloud subscriptions for the same office -- already cheaper than even the lowest-priced cloud plan, and decisively cheaper at the higher ones. Five years is not where ownership starts winning; it is where the gap stops being arguable.
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 later years should run the numbers with that growth included. The direction of the result does not change.
And the invoice is only the part you can add up. It leaves out the cost of getting AI wrong -- a hallucinated figure in a filing or a client deliverable carries its own price -- and the exposure of client data sitting in someone else's cloud. Neither appears on a subscription line, and both move the comparison further in the same direction.