Artificial intelligence is forcing a rethink of how top consulting firms charge clients, compensate partners, and deploy junior talent—not just how fast they build slides, according to The Wall Street Journal reporting on Boston Consulting Group CEO Christoph Schweizer.
The Billable-Hour Model Under Pressure
For decades, elite firms such as McKinsey, BCG, and Bain built economics around teams billing by the hour or by project fees mapped to expected hours: juniors researched and modeled, partners sold the narrative, and clients paid millions often without guaranteed outcomes.
Generative AI is compressing the work that once justified those hours—research synthesis, first-draft decks, data pulls—faster than many fee structures can absorb. Corroborating coverage from TheStreet and industry analysis describes the Big Three “quietly rewriting how they charge for it.”
Clients increasingly arrive with a desired outcome and ask firms to price against delivery, not scope alone. McKinsey’s UK managing partner Michael Birshan told reporters in late 2025 that roughly one quarter of McKinsey’s global fees now come from performance- or outcomes-based arrangements, per Business Insider coverage cited by TheStreet.
What BCG’s CEO Is Signaling
Schweizer has positioned AI as both a growth engine and a structural disruptor for BCG—not merely a tool layer on legacy strategy work.
At an investor briefing reported by industry newsletter The 80/20 and summarized by TheStreet, Schweizer said AI-related work could rise from roughly 20% of 2024 revenue to about 40% by 2026. Separately, BCG told Bloomberg in April 2026 that about 25% of its $14.4 billion in 2025 revenue—roughly $3.6 billion—came from AI-related engagements, per Metaintro’s summary of Bloomberg reporting.
That scale matters for pay and pricing: when a quarter of revenue ties to AI transformation, fee models, staffing pyramids, and partner economics must move with it—not stay anchored to pre-AI labor assumptions.
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BCG’s internal assistant Deckster can draft initial client presentations from structured data in minutes, according to industry reporting summarized by The Economy. McKinsey’s Lilli runs hundreds of thousands of internal prompts monthly with consultants reporting significant time savings on knowledge work, per Hunt Scanlon and Business Insider coverage cited elsewhere.
Yet external pricing has not consistently passed those productivity gains to clients. One 2025 analysis of MBB practices concluded firms’ client-facing rates “hasn’t moved” even as internal AI displaced analyst labor—clients still paying as if juniors spent 80-hour weeks building models Lilli or Deckster could draft in an afternoon, per The Economy’s summary.
That tension—faster delivery inside the firm, sticky rates outside—is central to why Schweizer’s WSJ framing extends beyond billing to “much more”: partnership risk, talent pipelines, and what consulting is worth when machines handle the first draft.
How Pay Changes When Fees Change
Outcome-based pricing shifts risk onto firms: fees tie to measurable results—cost cuts, revenue lift, operational metrics—with some fixed-cost floor but upside and downside sitting more on the consultant’s ledger.
The Financial Times has reported McKinsey adjusting internal partnership economics—moving a greater share of partner pay toward equity as AI-driven, performance-linked revenue grows more volatile quarter to quarter, per The Economy’s recap. Partners absorb uncertainty that once sat with clients; recruitment and retention models must adjust.
Separately, Bloomberg reported that roughly 150 former consultants from McKinsey, Bain, and BCG were contracted to help train AI models on entry-level consulting tasks—the people who once billed those hours now paid to teach machines the workflow, per TheStreet.
Industry estimates suggest blended MBB rates of roughly $300–$500 per consultant-hour; even a 25% AI-driven speed-up effectively returns value to the client only if the firm shares the dividend—outcome pricing is one mechanism, client-mandated discounts another. Mint has reported clients hard-coding AI efficiency discounts up to 10% into outsourcing contracts where vendors use AI to deliver with fewer staff.
Beyond BCG: The Whole Knowledge-Services Stack
The shift is not confined to strategy boutiques. Bain has said AI- and tech-enabled revenue is roughly 30% of its business, projecting 50% in coming years, and deepened OpenAI partnerships in 2026, per Bain announcements summarized by TheStreet. Law, accounting, advertising, and IT services face parallel pressure toward “pay for results” rather than hours.
For corporate buyers, the read-through is mixed: potentially more measurable value per consulting dollar, but harder attribution when AI, internal teams, and vendors all move at once. For investors in public services proxies (Accenture, IBM, and peers), margin questions persist as pyramid leverage flattens.
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Bottom Line
Schweizer’s message, as framed by the WSJ tech lead, is that AI is not a side practice at BCG—it is rewiring revenue mix, client contracts, internal tools, and ultimately how consultants and partners get paid. The billable hour is not dead everywhere overnight, but the direction is clear: firms that sold transformation are being forced to transform their own economics first, in public view.
Frequently Asked Questions
Q: What is changing about how consultants get paid?
A: Firms are shifting from hour-heavy billing toward outcome- and performance-based fees, while internally adjusting partner pay (e.g., more equity) as AI makes revenue less predictable and delivery faster.
Q: How much of BCG’s business is AI-related?
A: BCG disclosed about 25% of $14.4 billion in 2025 revenue (~$3.6 billion) from AI work; Schweizer has projected AI’s revenue share rising toward ~40% by 2026, per investor-briefing coverage.
Q: Are clients getting lower consulting bills because of AI?
A: Not consistently yet—some analyses say external rates have lagged internal productivity gains, though clients are pushing outcome pricing and, in some contracts, explicit AI efficiency discounts.
