Clients assume AI is doing the work and expect the price to fall. Firms that never adopted it are getting repriced anyway.
What’s happening
The repricing starts with a belief, not an invoice. Tax-firm owners describe clients who assume the work is automated now and shop any fee that fails to reflect that assumption. One owner, writing to peers in a practitioner forum this spring, described a client earning more than $500,000 a year who balked at a $1,250 return because he figured the firm was using AI and expected the price to come down. The firm does not use AI. The client repriced it anyway.
The belief has sources. Business owners run their own questions through ChatGPT and get plausible answers in seconds. Consumer platforms promote flat-fee, full-service preparation at prices no firm can match, and every story about AI doing white-collar work resets what clients think an hour of accounting judgment should cost. The reference price for the work is falling across the market, and it falls for firms that never touched an AI tool.
Sophisticated clients are saying the expectation out loud. Tim Robb, general counsel of World Insurance Associates, used a Bloomberg Law open letter to tell his longtime outside advisers that he expects to be told when AI is used and expects pricing to change because of it: “You can’t bill me for the time it used to take.” The same expectation is arriving in accounting engagement conversations, and it puts firms in a bind. Adopt AI, and clients expect the gains passed through. Hold off, and clients assume you adopted it anyway.
Why the obvious responses don’t work
“Explain that the firm doesn’t use AI”
The expectation is not about your software stack. It is the client’s new reference price for the work. Correcting the assumption wins the exchange and concedes the frame: now you are the firm explaining why it costs more without AI, which is a worse position than the one you started in.
“Add a technology fee to cover the AI tools”
Firms that itemize a tech fee report immediate client resentment; it lands like a forced tip. A line item prices the tool instead of the outcome, and it invites the scrutiny it was meant to deflect: if the tools make you faster, why did the bill go up?
“Absorb the pressure with quiet discounts”
A discount confirms the client’s math and resets the anchor for every renewal that follows. It also keeps the engagement priced on effort at exactly the moment effort stopped being the product.
What’s working instead
The way out is not a better defense of the old price. It is changing what the price is attached to. Firms getting ahead of this are moving fee conversations off hours and forms and onto outcomes the client cannot get from a tool: fixed-fee scopes with defined deliverables, and subscription advisory where AI handles the data work and the firm sells the judgment. Priced that way, the client’s AI assumption starts working for the firm. The same belief that shrinks an hourly invoice makes a priced outcome look like the modern way to buy.
The pattern is the same across every firm that gets this right: they stop optimizing the old model and build new offerings around what AI cannot do. The Workshop is the facilitated day we do this work with you. You leave with 2–3 offering briefs, specified and priced. Your team tests them with named clients, then builds what earns it.
Other pressures on Accounting Firms
The same pressure in other industries
Related reading
What Your Clients Are Saying About AI — When You’re Not in the Room
Your clients have opinions about your firm’s AI capability. They’re sharing those opinions with everyone except you.
McKinsey Put Numbers on Your Repricing
Your clients have decided AI should make your work cost less. McKinsey’s QuantumBlack report puts 32 pages of evidence behind that and prescribes a Fortune-500 cure you don’t need.
$15,000
A full day with your senior team, then 2–3 offering briefs. Test what clients will pay for before you build.
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