Project Acorn and the Consulting Partnership Reset

On 15 May 2026, the Financial Times reported that McKinsey & Company will shift more partner compensation into equity and reduce the cash share, under a plan internally known as Project Acorn. The plan has been two years in development. The headline reads as inside-baseball about partner pay. The substance is different: a structural reset of how the firm captures, retains, and rewards capital. The same reset is visible, using different mechanisms, at KPMG, EY, and Deloitte. For the companies that buy consulting, this is not gossip. It is the shape of the market they will be negotiating against for the next five years.

Key Takeaways

• Per the Financial Times, Project Acorn could increase the equity share of additional partner awards by an estimated 3 to 5 percentage points: a partner might be paid 90% of an additional award in cash, versus about 95% previously
• Approximately 25% of McKinsey's global fees now come from outcome-based pricing, and "straight strategy advice" makes up less than 20% of the firm's work, per McKinsey executives speaking to Business Insider in November 2025
• McKinsey said it would grow North American non-partner staff by 12% in 2026 (Reuters, September 2025) while leadership was simultaneously discussing 10% reductions in non-client-facing roles globally over 18–24 months (Bloomberg, December 2025); both are true and consistent
• KPMG UK and EY UK have begun moving equity partners to salaried roles; Big 4 equity promotions fell to a five-year low in the 2025 cycle, with 179 partner promotions across the four firms versus a peak of 276 three years earlier
• The pattern is the same across the industry: partnership economics are being aligned with firm-level capital, outcome-priced revenue, and AI-augmented delivery. Clients buying consulting on legacy hourly terms will pay the friction cost of the transition

What McKinsey Confirmed

According to the Financial Times, Project Acorn would increase the proportion of partner additional awards diverted into equity by an estimated 3 to 5 percentage points. The example used in the FT's reporting: a partner might be paid 90% of an additional award in cash, instead of about 95% previously. The plan has been in development for two years.

McKinsey, as a private partnership, does not disclose partner compensation details. The firm's public statement was that as a private firm it does not disclose compensation but is committed to continuously optimizing its mechanisms to attract, develop, motivate, and retain top global talent.

What this mechanically does for a partner: in any given year, slightly less of the total profit share arrives as cash drawing, slightly more arrives as equity in the firm's future economics. The change is modest in size (five percentage points in any given year) but compounds over a partner's tenure and signals where the firm's economic center is moving.

What Remains Assumed

Three claims have been widely asserted in commentary but are not directly supported by the primary reporting.

The framing of the change as a "cut." The cash share is being reduced. Total compensation is not, as far as McKinsey has stated, being reduced. Whether absolute partner take-home falls depends on firm performance in the years ahead; equity compounds favorably if the firm's repositioning works.

The claim that this is specifically "AI-driven." It is more accurate to say it is consistent with AI's effect on consulting economics. McKinsey has not framed it that way publicly, and the change was reportedly two years in development. The drivers are best treated as a composite: outcome-based pricing volatility, AI margin compression, and post-2022 demand cyclicality.

The implication that other firms will adopt the same mechanics. They will not, because the underlying partnership architecture differs materially, particularly between MBB and the Big 4. The direction of travel is similar; the instruments are not.

Three Pressures, Not One

The "AI did it" headline is the easiest to write. The accurate version requires three pressures operating in combination.

Outcome-based pricing is changing the timing of cash flow. Michael Birshan, McKinsey's managing partner for the UK, Ireland, and Israel, told reporters at a London media event in November 2025 that about a quarter of McKinsey's global fees now come from outcome-based pricing arrangements rather than billed scope and duration. Kate Smaje, the firm's global leader of technology and AI, told Business Insider in the same period that "straight strategy advice" now represents less than 20% of the firm's work; clients are turning to McKinsey for "deep implementation expertise" and multi-year transformation projects. When fees are tied to client outcomes, the firm's revenue arrives later, in larger but more variable chunks, and depends on factors partly outside the consultant's control. Paying partners largely in current-year cash against revenue that has not yet materialized is a balance sheet mismatch. Equity defers the payment and aligns it with realization. That is the mechanical logic of Project Acorn.

AI is compressing delivery economics. Speaking at CES in January 2026, McKinsey global managing partner Bob Sternfels said the firm had 40,000 human employees and 25,000 personalized AI agents, with client-facing roles growing by 25% and non-client-facing roles shrinking by the same proportion: what Sternfels called "25-squared." The firm reportedly saved 1.5 million hours in search and synthesis work in 2025. That compression cuts both ways: clients buy fewer hours for the same scope, and the firm captures the productivity differential as margin, but only if pricing detaches from hours. Outcome-based pricing is the mechanism that captures that delta, and equity-heavy partner comp is the way to hold those returns inside the firm long enough to reinvest in the next platform. For how this reshapes the staffing pyramid that underwrote the legacy economics, see the broken consulting pyramid.

Demand cycle and operating model bifurcation. This is the least-discussed driver and one of the most important. In September 2025, McKinsey North America chair Eric Kutcher told Reuters at a New York media event that the firm planned to grow non-partner staff in the region by 12% in 2026 versus 2025, building on a base of 5,000–7,000 staff, with 15–20% growth projected over five years. Three months later, Bloomberg reported that McKinsey leadership had begun discussing 10% reductions in non-client-facing roles globally: potentially a few thousand jobs over 18–24 months, against a total headcount that had already declined from 45,000 in 2022 to 40,000. Both are true. McKinsey is growing client-facing junior staff while shrinking the legacy support layer at the same time. Project Acorn is consistent with a firm rebuilding its operating model on two tracks: more AI-augmented client work at the front, leaner overhead behind it.

The Big 4 Comparison

McKinsey is not in the Big 4. The Big 4 (Deloitte, PwC, EY, KPMG) are audit-and-consulting hybrids bound by independence rules McKinsey is not subject to. Their partnerships are far larger (Deloitte alone reported $70.5 billion in FY2025 revenue with 473,000 employees) and their compensation systems are more bureaucratic, with partner draws typically calculated against projected annual earnings shares.

The direction of travel, however, is the same.

Equity partner demotions. KPMG UK and EY UK have begun moving some equity partners into salaried roles as part of a partnership reset, targeting what Irish Times reporting in April 2026 described as "High-Unit, No-Client" partners: senior figures holding large equity stakes based on tenure rather than current revenue contribution. KPMG UK average profit per partner rose to £880,000 in 2025, an 11% increase, even as the partnership base continued to shrink. The equity pool is being concentrated, not expanded. Across the Big 4, equity partner promotions fell to a five-year low in the 2025 cycle: 179 promotions across Deloitte, EY, KPMG, and PwC combined, versus a peak of 276 three years earlier, per Irish Times, November 2025.

Graduate intake compression. UK Big 4 graduate hiring saw sharp cuts in 2023: KPMG -29%, Deloitte -18%, EY -11%, PwC -6%, with industry-wide accounting graduate postings down 44% year-on-year by 2024 per Indeed data. Deloitte India offered a "Golden Handshake" early retirement programme to partners aged 55 and above. Deloitte US announced in January 2026, per Fortune, that it would scrap traditional analyst-consultant-manager titles effective 1 June 2026, replacing them with "job family" and "sub-family" titles such as "Software Engineer III": a structural shift toward operating-company nomenclature. For the deeper analysis of why this matters for the staffing model that underwrote the legacy economics, see the broken consulting pyramid.

AI investment is platform-grade, not feature-grade. Cumulative announced AI spending across the major firms now exceeds $10 billion since 2023: PwC ($1B, 2023), KPMG ($2B Microsoft alliance, 2023), EY ($1.4B for EY.ai, 2023), Deloitte ($2B Industry Advantage 2024, plus a $3B GenAI commitment through FY2030), Accenture ($3B). McKinsey has Lilli. BCG has GENE. Deloitte has PairD and Zora. KPMG has KymChat. The point is not the platforms themselves; it is that every major firm is now carrying significant fixed technology investment on a cost base that used to be almost entirely people. That changes how partner economics need to be structured. For why the technology layer alone does not differentiate, see why consulting firms can't align people, services, and AI.

What the Big 4 are doing differently from McKinsey is using the partnership category itself as the lever: moving people out of equity into salaried positions, slowing promotion, shrinking the class. McKinsey is keeping the partnership intact but shifting its internal mix toward equity. Same destination (partner economics aligned with firm-level capital and risk), different route. The comparison below summarises the mechanism each firm is using.

What This Means for the Companies That Buy Consulting

For organizations that buy consulting services (PE firms, corporate development teams, and senior operators), three implications matter.

Pricing has already changed, and the buyer side is behind. A quarter of McKinsey's fees are already outcome-based. The era of buying transformation and AI-deployment consulting on a billable-hours basis is closing. Buyers should expect more proposals structured as fixed base plus outcome-linked variable, with defined success metrics. The buyer's leverage in this model comes from defining the metric, the baseline, and the verification rules upfront. Vague success criteria favor the firm; precise ones favor the buyer. Procurement functions designed to optimize day rates are mispositioned for the shift; most procurement playbooks have not been rebuilt for outcome-priced engagements. For the deeper pricing-model context, see the transformation paradox facing consulting firms.

Partner attention is being repriced. When a senior partner's compensation depends more on long-term firm equity and less on current-year cash, their incentives shift toward longer-term client relationships and platform-scale revenue rather than short engagements. For PE buyers used to transactional consulting purchases (diligence, 100-day plans, single-asset support), the named-partner attention they relied on may be harder to secure on a one-off basis. The price of access is going up, in either time commitment or scope commitment.

The pyramid is flattening. Sternfels' CES disclosure (client-facing roles up 25%, non-client-facing roles down 25%, against a 40,000-human workforce now operating alongside 25,000 AI agents) is the cleanest single description of where the operating model is headed. Across the industry, leadership is openly discussing a move from a pyramid to a "diamond-shaped" organization: thinner base of juniors, denser middle of experienced specialists, senior advisors at the top. For buyers: less leverage in proposals (fewer juniors loaded into engagement teams), more emphasis on what the senior team actually does, and quality differences across firms become more visible. For what AI-native alternatives to the legacy partnership look like, see AI-native agencies and the future of advisory.

Buyer Negotiation Levers Through the Transition

The transition is asymmetric: firms are five quarters into it, most buyers have not started. Four levers materially change the economics buyers see across the next 18 months:

• Define the metric before the proposal. In an outcome-priced engagement, the metric set in the contract drives 60–80% of realized fees. Buyers who arrive with a defined baseline, a measurement window, and a verification mechanism (third-party, internal audit, or contractual) hold the leverage. Buyers who let the firm propose the metric inherit a definition optimized for the firm.
• Separate the AI productivity savings from the fee. If a firm proposes to deliver in 60% of the prior hours using AI tooling, the price should reflect the saving, not the prior hour count multiplied by a discount. Ask for the hour estimate with and without AI; the gap is the productivity claim the firm is internally booking.
• Name the partner and the partner's exposure. Equity-heavy comp means partners are less mobile on a single engagement. Ask which named partner is committed, what percentage of their time, and what they personally have at stake if the outcome metric is missed. A partner who cannot answer the second and third questions concretely is not the partner you are buying.
• Stage the commitment. Multi-year transformation contracts are where firms recover the equity-deferred returns. Buyers who can credibly stage the engagement (diagnostic, design, implementation as separately gated commitments) preserve optionality the firm's economic model is designed to remove.

The McKinsey story is not really about McKinsey. It is the first authoritative signal that the modern professional services partnership, built on stable cash flows, pyramid leverage, and predictable promotion economics, is being rebuilt for a different operating model. The firms that get there first will look meaningfully different in 2030 than they do today. The companies that recognize the shift early will negotiate better terms during the transition. For how AI capability itself is being sourced and what that means for buyer leverage, see why consulting firms can't align people, services, and AI.

The full Intelligence Brief covers the partnership architecture comparison across MBB and the Big 4, the pricing-model shift in detail, and the buyer-side negotiating playbook for outcome-based engagements.