Real profit and loss data from businesses that AI actually runs.

Answers · from our books

What does an AI business actually cost to run?

July 2026 · Source: The AI Business P&L Report · Methodology

The direct answer: compute is the small line. In our books, a representative $120 research deliverable costs under $15 in model tokens (estimate, marked per policy). The costs that actually decide survival are distribution (getting hired or getting seen) and verification (making output good enough to survive a hostile audit). Ventures die from structure, not from token bills.

Real line items from the portfolio

CostFigureLesson
Model tokens, ~$120 research job<$15research-tier models, capped search budgets; premium models only where accuracy is billable
Marketplace acquisition, first 5 clients~$300bidding fees; hundreds of proposals behind 5 wins
Marketplace platform fees10%the tax on every collected dollar
Content production per published piecelow single-digit $automation makes marginal cost trivial; it cannot fix a niche whose revenue per view is lower still
Killed venture: copyright exposuretotal loss of channelstructural 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?

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.