Summary: The biggest AI-driven change in consulting may not be automation or headcount reduction. It may be the gradual shift from selling expertise and effort to selling measurable business outcomes.
The consulting industry spends a lot of time debating what AI will do to consultants.
Will firms need fewer analysts? Will strategy become automated? Will clients continue paying premium fees when technology can perform many of the tasks traditionally completed by large consulting teams?
These are important questions, but they may not be the most important ones.
A recent Wall Street Journal interview with BCG CEO Christoph Schweizer contained a number of signals about where the industry is heading. Most commentary focused on BCG’s continued growth despite repeated predictions that AI would weaken demand for consulting services. Revenue increased to $14.4 billion, headcount grew, and the firm continues to hire aggressively.
The more interesting story sits beneath those headline numbers.
If you want to understand how consulting is changing, watch how consulting firms get paid, not what they say about AI.
The Most Important Signal Is Pricing
The clearest signal from the interview was not about technology. It was about commercial models.
Schweizer revealed that three-quarters of BCG’s largest AI engagements now include variable-fee arrangements linked to client outcomes. At the same time, outcome-based pricing still represents less than a third of the firm’s overall work.
That distinction is important.
Outcome-based pricing is not new. Consulting firms, restructuring advisors and turnaround specialists have used performance-linked models for years. What is changing is where these models are becoming most common.
They are appearing first in large-scale AI transformation programmes where consultants are deeply involved in redesigning workflows, reshaping functions, implementing technology, driving adoption and measuring results. In these situations, the link between consulting intervention and business performance becomes much clearer.
Clients are increasingly asking a different question. Rather than paying purely for expertise or effort, they want to know whether advisors are willing to share accountability for the outcome.
That does not mean every consulting engagement will move to gainshare models or performance fees. However, it does suggest that some of the fastest-growing areas of consulting are creating pressure for new commercial structures.
When pricing models start changing, operating models usually follow.
AI Is Expanding Demand, Not Eliminating It
Another notable takeaway was BCG’s view on talent.
Much of the discussion around AI assumes that consulting firms will need fewer people as automation becomes more capable. Yet BCG ended the year with more employees than it started with and continues to recruit heavily. Schweizer noted that the firm received approximately 1.7 million applications last year, hiring less than one percent of applicants.
That does not look like an industry preparing for decline.
Instead, it suggests that AI is changing the nature of consulting work rather than eliminating the need for consultants altogether.
Many of the activities that previously occupied junior consultants can now be completed faster and more efficiently with AI. Research, synthesis, benchmarking and initial analysis are becoming increasingly automated. However, this does not remove the need for transformation. In many cases, it creates more demand for it.
As organisations discover new opportunities to apply AI, the challenge quickly shifts from technology to execution. Leaders need support redesigning processes, changing operating models, managing risk, building capabilities and driving adoption across thousands of employees.
Those are not technology problems. They are management problems.
That distinction helps explain why demand for consulting remains strong despite rapid advances in AI capabilities.
The Emerging Divide Between Model Providers and Consultants
One of the most revealing parts of the interview focused on OpenAI and Anthropic.
As frontier AI companies move closer to enterprise deployment, many observers assume they will eventually compete directly with consulting firms. Both groups are helping organisations implement AI. Both are investing in deployment capabilities. Both are increasingly focused on enterprise transformation.
Schweizer offered a different perspective.
His argument was that model providers are focused on accelerating adoption and increasing usage of their technology. Consulting firms, by contrast, help organisations redesign workflows, reshape business functions, upskill employees and translate technology investment into measurable business performance.
Whether that distinction remains sustainable over the long term remains an open question. However, it highlights how consulting firms are increasingly positioning themselves within the AI value chain.
The model provider delivers the technology.
The consultant helps the organisation change.
That positioning aligns with several broader trends across the market. BCG continues to invest heavily in Applied AI. McKinsey is expanding its AI transformation capabilities. Accenture has reorganised around AI-driven delivery. OpenAI has launched its Deployment Company, while Anthropic continues to build enterprise partnerships.
Everyone is moving closer to implementation.
The difference lies in where they believe the highest-value role exists.
Why Partner Economics Matter
The pricing discussion becomes even more interesting when viewed alongside recent developments in partner compensation.
Over the past year, several major consulting firms have signalled changes in how they reward senior leaders. McKinsey’s reported adjustments to partner economics attracted particular attention because they appeared to place greater emphasis on expertise, client impact and broader contribution to the firm alongside traditional revenue generation.
On the surface, these changes may seem unrelated to AI.
In reality, they may be connected.
If consulting firms increasingly position themselves around outcomes rather than effort, incentive structures need to evolve as well. It becomes difficult to promise measurable impact to clients while internally rewarding partners primarily for selling projects.
The firms that succeed in the next phase of consulting will likely be those that align pricing, delivery, incentives and expertise around the same objective.
That objective is not producing more presentations.
It is producing better business outcomes.
The Bigger Shift
Much of the discussion around AI focuses on productivity.
That is understandable. Productivity gains are visible and measurable.
The larger shift may be economic.
For decades, consulting firms built their business models around expertise, information advantages and scalable delivery structures. AI is reducing the scarcity of some forms of knowledge work while increasing the value of judgement, implementation and accountability.
The firms that thrive will not necessarily be those with the most advanced AI capabilities.
They may be the firms most willing to stand behind the results they help create.
That is why the most important signal from BCG’s latest interview was not revenue growth or hiring numbers.
It was pricing.
Because the real AI story in consulting may not be automation.
It may be which firms are willing to put their fees at risk.
Implications
The signals coming from BCG, McKinsey, Accenture and the major AI providers all point toward a similar conclusion. AI is changing delivery, but it is also beginning to reshape consulting economics.
The next competitive advantage may not come from having more people, bigger knowledge bases or stronger AI tools.
It may come from demonstrating measurable impact and being prepared to share accountability for delivering it.
That would represent a fundamental shift in how consulting creates value, prices its work and rewards its leaders.
And if that happens, the industry’s business model could change faster than its headcount.
Ben Appleton is the founder of Strat-Bridge, a specialist executive search partner to the strategy 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.
