The firms that spent decades selling disruption are now experiencing it themselves.
For generations, consulting created value by selling knowledge that clients couldn’t access any other way. That information asymmetry is disappearing, and every consulting firm and every business leader who buys consulting services is now forced to answer the same question: What exactly are you paying for?
Late last year, McKinsey & Company discussed cutting an estimated 3,000 to 4,000 positions in 2026 and 2027—roughly 10 percent of its global workforce. KPMG cut approximately 400 U.S. advisory positions. Accenture headcount has fallen by roughly 12,000, and the company said it was exiting people where reskilling was not viable. Meanwhile, Deloitte has overhauled job titles for its 181,500 U.S. employees effective June 1, 2026, upending the analyst-to-manager hierarchy that defined the Big Four career path for decades.
AI has compressed what once required full analyst teams into hours of automated work. And consulting firms are responding in turn.
The Leverage Model Billing Machine
In my experience, consulting’s economic engine ran on a specific ratio: roughly 10 to 15 junior associates for every senior partner. Junior associates billed at $200 to $400 per hour while earning $50 to $80. That spread, multiplied across thousands of engagements and tens of thousands of staff, was the “leverage” business model.
AI is now doing the junior work. McKinsey’s internal tool Lilli reduces research and synthesis time by 30 percent. Deloitte’s agentic platform Zora AI handles information processing that junior staff previously managed, and BCG’s Deckster builds decks more quickly than humans could by hand.
A New Value Model
Work is moving from analysis to strategy and execution. The highest value services that will command premium fees in the AI era share a specific profile: They require judgment and leading change based on experience, not computed from data.
Here are the 10 categories of consulting work that will define the industry’s next decade:
1. Organizational change leadership: getting people to adopt new ways of working inside a real organization.
2. AI governance and decision design: defining which decisions AI owns and who’s accountable when it fails.
3. Executive alignment and facilitation: navigating senior leaders to genuine consensus when they disagree on the problem.
4. Program leadership: end-to-end accountability for the full change, not just a small project.
5. Mergers and acquisition integration: the human and cultural work that no financial model can fully predict.
6. Crisis and reputation management: high-stakes judgment where prior experience across comparable situations matters most.
7. Culture diagnosis and redesign: identifying the informal norms and power dynamics blocking the strategy the board approved.
8. Innovation management: judging which bets to make when market data is incomplete and conviction is required, and then implementing new opportunities.
9. Regulatory strategy and navigation: knowing how a specific regulator actually behaves, built from years of direct engagement
10. Leadership development: accelerating leadership judgment and resilience through direct coaching and real-world challenges.
The firms that consistently deliver on these 10 services rely on the same four capabilities: savvy facilitation, executive-level trust, cultural diagnosis, and the ability to lead change from inside the organization.
Underneath the consulting layoffs is a restructuring of the industry’s fundamental value proposition. The services that survive are the ones where data and analysis aren’t the end-all deliverable because the value is in the relational, experiential, and human-focused changes that need to be made.
When every client can run the research themselves, the only thing a consultant can still sell is what to do with it.
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