The link between your hours and your price is coming apart. Your clients have watched AI cut the time a task takes and drawn the obvious conclusion: the work should cost less. You’ve felt this for a year. On June 18, McKinsey’s QuantumBlack put 32 pages and a pile of numbers behind it.
The report is called “The Symbiotic Enterprise,” and it’s written for the Fortune 500: the CEOs of banks, utilities, and manufacturers. The case studies match: Amazon, Ocado, Renault. The diagnosis is right. The prescription is a multiyear, CEO-led transformation sized and priced for companies that size. Strip the enterprise scaffolding away, though, and what’s left is a description of your firm’s next three years.
When McKinsey publishes a report that says expertise is commoditizing, the commoditization has arrived, and your clients read McKinsey. The repricing they’re about to ask you for is already in their hands.
Adoption stopped being the story
The report’s central finding is one I’ve made here before, now in their numbers. McKinsey’s QuantumBlack found that fewer than 10 percent of companies have scaled AI agents within any single function, even as more than 80 percent have deployed AI somewhere. Putting AI to work inside the workflow you already had produces incremental gains and, in the report’s words, “little P&L impact.”
The gains the report cares about come from redesigning the work from first principles, what it calls reinvention rather than augmentation. A copilot that makes your analysts 15 percent faster is augmentation. A workflow rebuilt so agents do the execution and people set direction is reinvention. Efficiency is the on-ramp, not the destination.
Augmentation versus reinvention is the line between a real strategy and theater. Buying tools and leaving the offering untouched feels like movement. The largest companies in the world are being told it isn’t, and that adoption is no longer a differentiator. Some of those companies are your clients.
The pricing change is the tell
The report’s clearest case study proves the point for you. IFS, a Swedish enterprise-software company, is moving off seat-based licensing as AI digital workers take over execution. The report’s reasoning: “when digital workers perform the work, and value no longer tracks the number of human users, the old model of seat-based licensing stops making sense.” IFS is shifting to pricing tied to the assets it helps manage. The report calls that a move “from paying for access to applications to paying for outcomes delivered.”
A software firm watched AI sever the link between its price and a count of human seats, and rebuilt the price around what its software runs instead. Your billable hour is the seat license. The same severing is happening to it, for the same reason, and hourly pricing can’t capture the upside once it does.
The report’s prescribed defense for enterprises is to build “proprietary intelligence”: codify your know-how into reusable skills competitors can’t replicate. It’s the move I’ve been describing to firm leaders all year. McKinsey reached it from the enterprise side. It’s the same answer: the knowledge you sell by the hour is the asset to build on before the market does it for you.
Expertise is the thing being repriced
The report names which advantages erode. “Expertise becomes democratized.” “Scale advantages diminish.” Customer re-insourcing and AI-native entrants “challenge incumbents.” That’s a description of what happens to every business that sold scarce knowledge at a premium. Your firm is that business in its purest form. When the report says clients re-insource the work, it’s describing clients building what you used to sell.
The 60 percent the report calls theoretically automatable isn’t a story about factories. Two-thirds of nonphysical work hours sit inside it: analysis, synthesis, drafting, the billable middle of your firm. The report even names a new cost it calls the “cognitive tax”: value leaking to whoever owns the model layer. Run your client work through a general-purpose model, and the patterns you’ve built, the judgment about what good looks like in your domain, stay with the platform. Your firm invoices for the output once. The model gets better at the category permanently. A firm with no proprietary method of its own pays that tax and commoditizes itself in the same motion, while margin compresses from both ends.
The firm-sized answer
Then there’s who wrote it. McKinsey sells expertise by the engagement. The report is, among other things, a professional services firm documenting the repricing of professional services, then offering a multiyear program to outrun it. The diagnosis is real. The cure is sized for a buyer with a chief transformation officer and a budget to match.
You’re not that buyer, and you don’t need that cure. The firm-sized version of codify-and-reprice asks none of that. It’s a decision: what your firm knows that compounds, which two or three offerings to rebuild around it, and how to price them on the outcome instead of the hour. The deciding takes days, not quarters. The building is the ordinary work of running a firm, pointed at something you can sell at a price you set.
The report’s framing for the Fortune 500 holds for the 30-person firm: the winners won’t be the ones with the best AI. They’ll be the ones who rebuilt what they sell before the price was reset for them.