The question

What would an AI agent workflow cost if the chain operated at break-even?

Most cost commentary on AI arrives as a finished number: a subscription price, an API price, an analyst note, a vendor quote, or a headline about infrastructure spend. By the time that number reaches a CFO, several separate economic layers have already been compressed into one figure.

The report asks a simpler operating question: if each layer charged economically, where would the true cost sit, how large is the current subsidy gap, and how fast could that gap close? The answer matters because agentic AI shifts software and operating budgets from fixed seats toward variable usage.

Why this framing matters for budgeting:

• Floor times volume tells you where pricing cannot sustainably go below cost.
• Realized price minus floor tells you how much of the bill is rent, depreciation policy, or subsidy.
• The trajectory of each layer tells you which cost line is likely to compress first and which one is likely to hold.