Summary: Consulting firms are creating more influential career paths for experts as AI reduces the value of undifferentiated analysis. The change demands a new kind of Partner who combines domain expertise, commercial judgement, senior relationships and implementation credibility.
AI is not replacing consulting. It is forcing firms to decide what they truly value in a Partner.
McKinsey’s introduction of a distinguished partner role is an important signal because it does more than recognise a new technical specialism. It formalises a different route through partnership at a time when clients have greater access to information, stronger internal capabilities and AI tools that can produce analysis at speed.
Those clients are becoming less willing to pay for generic intelligence. They want judgement grounded in experience, expertise that can survive scrutiny and leaders who can turn recommendations into operating results. The question is no longer whether expertise matters, but whether firms are prepared to give it equal weight in how they hire, promote and reward their most senior people.
A Different Route Up
The traditional path towards Senior Partner has usually involved increasing breadth, commercial leadership and responsibility across the firm. Deep expertise matters, but advancement has often depended on owning larger relationships, leading practices and building a substantial book of business.
McKinsey describes distinguished partner as a different, “equally important” path. These Partners become reference points in their fields and continue working directly with clients, but their contribution extends beyond individual engagements.
They build assets and capabilities that colleagues can use across the firm, create tools and academies, develop other specialists and help shape external debate. This allows expertise to scale without requiring every expert to follow the same leadership template.
The contribution is not confined to personal knowledge or individual client delivery. Expertise becomes institutional when it improves how colleagues work, creates repeatable intellectual capital and gives the firm authority in a market.
Beyond an AI Track
This is broader than an AI career path. McKinsey’s inaugural group spans M&A, cybersecurity, manufacturing, operating models, healthcare, energy, regulation and economic development.
Some have built proprietary methodologies, while others have led complex implementation programmes, developed industry infrastructure or brought senior operating and regulatory experience into client work. The common thread is applied expertise rather than knowledge alone.
These individuals have converted what they know into institutional capability and client impact. That distinction matters because information is becoming abundant, while the ability to apply it in a high-stakes environment remains scarce.
Expertise Moves Centre Stage
McKinsey is not acting in isolation. Bain’s AI and analytics workforce has reportedly tripled since 2020 to more than 1,500 people and now represents around half of the firm’s experienced hires. BCG involves expert consultants in 40% of its projects.
Those numbers point to a structural change in how consulting work is staffed and sold. Specialists are no longer supporting actors brought into an engagement only to validate a technical point. Increasingly, their credibility is central to winning the work, shaping the solution and delivering the outcome.
AI can surface options, synthesise information and accelerate analysis. It cannot independently determine which problem an executive team should solve, navigate competing interests or take responsibility for implementation. As the production of analysis becomes faster and cheaper, the value moves towards framing, context, judgement and execution.
Clients are also asking firms to remain involved for longer. A strategy or bold idea is not enough if it never becomes a sustained capability inside the organisation. That pushes consulting further into implementation, capability building and operational change.
The Pyramid Faces Pressure
AI also changes the economics of leverage. Large pyramids of junior consultants become harder to defend when technology can perform more of the research and analytical workload.
Smaller teams built around experienced specialists may produce greater value, but they also challenge established staffing models, development pathways and margins. Firms will need to reconsider how junior consultants learn when fewer hours are spent producing first drafts, conducting basic research and building routine analysis.
The expert track therefore solves more than a talent-retention problem. It offers a potential blueprint for a delivery model built around smaller expert teams, supported by technology and focused on execution.
The Hybrid Partner Wins
Deep technical knowledge alone will not define the next generation of Partners. The strongest candidates will combine domain expertise, commercial judgement, senior relationships and implementation credibility.
They must be credible with technical leaders and operators while connecting specialist knowledge to enterprise value. They also need to build trust with senior executives and mobilise client organisations around difficult change.
This hybrid profile is rare. Many specialists can explain the technology, but fewer can challenge a CEO, reframe the commercial question and maintain confidence when delivery becomes politically or operationally difficult.
Traditional rainmakers may have exceptional networks, but some lack the depth to lead increasingly technical and execution-intensive conversations. Consulting does not simply have an AI talent shortage. It has a shortage of people who can make AI matter in the boardroom and then make it work across the organisation.
Hiring Must Change
This creates a different senior hiring challenge. Firms need to assess more than revenue history, network strength or technical credentials in isolation.
They need evidence that a candidate can translate between experts and executives, build scalable intellectual capital and turn knowledge into repeatable client impact. That requires a more demanding Partner scorecard.
Commercial performance still matters, but so do capability creation, implementation credibility and the ability to elevate expertise across the firm. Hiring decisions should reflect where the firm intends to create future value, rather than replicating the Partner profile that succeeded under the previous delivery model.
Status Remains Unresolved
The unresolved issue is status. Bloomberg reports that McKinsey’s distinguished partners receive a pay increase, but not to the same level as Senior Partners, and do not vote in managing partner elections.
That raises an uncomfortable question about whether an expert path can be genuinely equal if it carries different economics and institutional influence. Recognition and progression matter, but so do decision-making power and participation in the value that expertise creates.
Creating the title is a meaningful step. However, if experts remain essential to delivery while secondary in governance and reward, firms risk creating a two-tier partnership.
The Implications Are Clear
Partner scorecards need to recognise capability creation as well as revenue, while promotion models must accommodate mastery as well as breadth. Senior hiring should identify translators rather than forcing a choice between rainmakers and specialists, and reward structures must reflect where clients now perceive value.
AI changes delivery, not the profession. Judgement, trust, framing and accountability remain the edge, but firms that continue to treat expertise as secondary to rainmaking will be building the wrong Partner model.
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Ben Appleton is the founder of Strat-Bridge, a specialist executive search partner to the management consulting industry. He works with global consulting firms and senior leaders across the UK, Germany, Switzerland, and beyond — helping them build capability at the Partner and Director level.
Connect with Ben on LinkedIn or email ben@strat-bridge.com.







