You’ve probably seen this number already. McKinsey’s 2025 State of AI report: 88% of organizations have adopted AI in at least one business function. Only 6% are seeing meaningful impact on earnings. Most of them bought the platforms, trained the people, ran the pilots. No movement on the bottom line.
The stat gets cited constantly. What gets skipped is the more interesting finding underneath it.
The 6% redesigned the workflow
McKinsey also looked at what distinguishes the high performers, and it wasn’t the tools, the spend, or the head start. The 6% are three times more likely to have fundamentally redesigned their workflows.
That sounds abstract. In practice, most firms asked how to use AI to do their current work faster. The 6% asked what the work should look like now that AI exists, and what to charge for it.
Buying the platform never forced the firm to change its price, so the firm kept charging what it always had.
Take contract review. An AI drafting tool that produces the same contracts faster is adoption. Asking what a contract review engagement should look like now that AI handles the research and the first draft, and how to price and deliver it, is the other question. The first approach saves time. The second changes the business.
The ceiling on efficiency
Firms are getting real results from AI, and the results land in the same place every time: staff utilization, document review, compliance. Every one of them is about how the firm operates. Not one is about what the firm sells.
BDO’s Nick Kervin put a number on the efficiency-only path: “Using AI to find efficiency in existing businesses will have a natural ceiling of 25-40%.”
And even within that range, the gains are fragile. Firms report faster delivery, then discover the output requires more human correction than the old process did. A share of the time savings goes back into rework. The ceiling is lower than it looks.
Most firms are already approaching it. The attorneys who’ve been using AI for a year are faster, but their billings are flat or declining because they’re completing the same work in less time. The accounting firms that deployed AI tools in 2024 are processing more returns with the same headcount. The bill stays the same, and clients notice.
Beyond that ceiling, the only path is changing the model. The ladders split it in two: The Pricing Ladder covers what you charge, The Delivery Ladder covers how the work shows up.
The pressure isn’t coming only from clients. Venture-backed AI-native firms are going after professional services revenue directly, and they start with none of the cost structure you’re trying to squeeze.
The 6% in law, accounting, consulting
When firms ask the redesign question instead of the efficiency question, the answers look different by vertical.
In law, firms are moving from hourly contract review to fixed-fee contract intelligence. AI handles the structural analysis and flags risk. Attorneys apply judgment to the items that matter. Clients get a faster, clearer answer at a price they can budget for. The firm’s revenue per engagement goes up, not down.
In accounting, the shift is from annual audits to continuous monitoring. AI watches the books in real time. The team surfaces findings when they’re actionable rather than a year late. The client pays a monthly retainer for visibility they didn’t have before. That’s new money, not discounted old money.
In consulting, it’s the codification of expertise. AI delivers the analysis at scale. Senior people focus on the decisions that require context and judgment. The revenue model shifts from project fees toward something more like a subscription.
None of these are hypothetical. Firms are already doing them. They’re in the 6%.
Clients are waiting for new offerings, not discounts
A discount isn’t what clients are waiting for. They’ll pay for work that makes them money, and few firms are offering them any. Most firms are still selling the same services at compressed margins, so a firm that builds a genuinely new offering has the field mostly to itself.
What the adoption bought
Most firms have already adopted AI and their teams are faster. The invoices look the same as they did before. The savings went to the client, and the client didn’t have to ask.
Two years and a platform budget can buy a firm a faster version of the business it already had.