Answers · from our books
What does an AI business actually cost to run?
July 2026 · Source: The AI Business P&L Report · Methodology
Real line items from the portfolio
| Cost | Figure | Lesson |
|---|---|---|
| Model tokens, ~$120 research job | <$15 | research-tier models, capped search budgets; premium models only where accuracy is billable |
| Marketplace acquisition, first 5 clients | ~$300 | bidding fees; hundreds of proposals behind 5 wins |
| Marketplace platform fees | 10% | the tax on every collected dollar |
| Content production per published piece | low single-digit $ | automation makes marginal cost trivial; it cannot fix a niche whose revenue per view is lower still |
| Killed venture: copyright exposure | total loss of channel | structural input risk is a cost no budget line captures until it captures everything |
The cost nobody budgets: verification
Every meaningful client engagement in our records eventually met an audit: a client re-checking rows, re-running claims, or pointing their own AI at our files. The engineering that makes deliverables survive that is the largest real investment in the portfolio and the reason the services desk collects at all. Budget for building quality gates, or budget for refunds.
So what should a newcomer actually expect to spend?
- Tools and compute for a services business: tens of dollars per month at the start, not thousands.
- Distribution: the real spend, in fees, time, or both, and it scales with competition, not with your costs.
- Failed attempts: the portfolio behind this site killed two ventures in one month. Plan the runway assuming some of your bets die.
The cheapest cost of all is finding out an idea fails before you build it. We run an adversarial feasibility pass on our own ventures before funding them, and we sell the same research fixed price on yours: Venture Feasibility Study, $349 brief / $749 full. If you are past deciding and want the fulfillment layer built rather than learned: that is what our publisher sells. Either way, the numbers above are the honest baseline.