One of the software invoices in your firm’s accounts payable now reads like a utility bill: units consumed, a rate per unit, and a total nobody could have predicted at signing.
That invoice is new. Software billed by the seat for twenty years, one price per person per month, and the bill was boring. Then the AI vendors repriced. A Goldman Sachs note from April 2026, drawn from meetings with about 40 software companies, described the shift to units of work: Salesforce sells “agentic work units,” Workday sells credits tied to “units of work,” and OpenAI’s Sam Altman describes selling tokens like electricity. The tools your firm buys are now priced on the work they do.
Stephan Liozu, a pricing strategist writing in IndustryWeek in July, told those vendors the model will fail: industrial CFOs won’t sign an open-ended metered bill for a technology whose output they don’t yet fully trust. He summed up consumption pricing in one line: it “is not a business model. It is a confession that you do not know what your product is worth.”
The case against AI’s metered bill is in print. Professional services invented the metered bill.
The fight should sound familiar
A meter charges for inputs consumed and leaves the buyer holding the uncertainty. That describes a token contract, and it describes an hourly engagement letter.
Winston Weinberg runs Harvey, which sells AI to law firms, so he profits from the argument that follows. He told the Financial Times in May that the hour was never what the client was buying: “If I pay a law firm $100,000 to do something, I actually paid for the partner to give me advice on what to do. It wasn’t billed that way though: it was billed as if a bunch of junior associates did all these research tasks at $1,000 an hour.”
A partner will object that hours aren’t tokens, and the objection is half right: compute is a commodity with a posted price, and judgment isn’t. But neither meter prices the thing the buyer came for. The client paying $1,000 an hour wanted the answer, the enterprise burning tokens wanted the finished task, and both were billed for the machinery in between. The hour was packaging, and AI has been pulling that package apart.
In-house teams learned it first
In the same interview, Weinberg described the refusal forming inside legal departments: “If you’re an in-house team and there’s something that you can do with AI, you’re not going to accept crazy bills from a law firm to do that particular task.”
The AI subscription and the outside-counsel fees sit in the same quarterly review now, in front of the same CFO, and a concession won from the software vendor in one meeting becomes the opening ask in the next. A firm billing hours has no better answer to that ask than its own vendors had.
Some sellers have already stopped defending the meter. Norm Ai, another legal AI company, raised $120 million in July in a round led by Khosla Ventures, and launched Norm Law, an affiliated AI-native firm built to sell outcome-priced legal work to exactly the in-house teams Weinberg is describing. Norm Law’s own pitch makes the case against the hourly invoice in the client’s voice: with traditional outside counsel, “you pay for the time it takes to understand your business, and then pay again when that understanding walks out the door.”
A bet your vendors can’t make
An AI vendor that offers a fixed price is betting its gross margin against compute costs it doesn’t control, so almost none of them do. A services firm carries the opposite cost structure, with compute a small line next to professional fees. That gap lets a firm package its work at a fixed price and absorb the token volatility its own software vendors can’t.
The firm keeps the efficiency gains rather than itemizing them away, and the client gets the predictability they’re now demanding from every other seller. A package priced on the result captures the upside instead of refunding it.
The fixed price only holds if a defined offering sits underneath it: a named scope and a stated result, at a price the client can weigh against another quarter of metered invoices. That’s packaging work, not pricing work, and it’s the part most firms haven’t done. The common response in the field is to buy the tools and leave the invoice alone. An hourly invoice from a faster firm shows fewer hours on it, and the client pockets the difference.
The CFO who beat an AI vendor’s meter down to a fixed contract this year is the same person who opens your next engagement letter, and it reads the way the vendor’s first offer did: units consumed, at a rate.