Summary: AI is not replacing consulting, but it is stripping the model back to what clients actually value: execution, judgment, and outcomes. As AI reshapes delivery and compresses the traditional pyramid, firms that win will be those built around senior expertise, AI-enabled workflows, and real accountability for results.
The Market Is Still Growing. The Product Has Changed.
The question was never “Will AI replace consultants?”
It was “Which parts of consulting were worth keeping?”
According to recent Forbes analysis in America’s Best Management Consulting Firms for 2026, the US consulting market continues to grow, with demand holding and hiring still active across major firms. That mirrors what we are seeing across the UK, Germany, and Switzerland, where most firms remain in the market for senior talent despite a more cautious backdrop.
However, focusing only on growth misses the more important shift. The consulting market has not contracted, but it has become more selective. Clients are far more deliberate about where they spend and what they expect in return. Engagements that would have been approved on the basis of brand and credentials alone are now being challenged more rigorously. The bar has moved from “can you advise?” to “can you deliver outcomes that matter?”
Strategy alone is no longer sufficient. It remains a necessary starting point, but it is no longer the product. Clients expect clarity quickly, and they expect that clarity to translate into tangible results. The firms that fail to bridge that gap are finding it harder to justify their position.
Execution Has Become the Core Product
Across the UK and DACH markets, one pattern comes up consistently in conversations with partners, candidates, and firms.
The strategy is often clear. The difficulty lies in turning that strategy into something that works inside a complex organisation. That is where timelines stretch, where internal resistance builds, and where many initiatives stall.
This is where consulting demand is now concentrating.
Firms that are performing well in this environment are those that position themselves close to execution. They are embedded with leadership teams, involved in decision-making, and accountable for progress. They are not simply producing recommendations. They are helping to make those recommendations happen.
This reflects a broader structural reality across industries. Most organisations do not lack ideas. They lack the ability to execute those ideas under pressure. That pressure may come from economic conditions, regulatory constraints, geopolitical uncertainty, or internal organisational complexity. Consulting is increasingly being pulled into that execution gap.
AI Has Moved from Capability to Infrastructure
At the same time, AI has shifted from being a specialist capability to becoming part of the core infrastructure of consulting firms.
In the past, AI often sat in dedicated teams or innovation units, positioned as an additional offering. Today, it is embedded across the entire delivery lifecycle. It influences how proposals are written, how analysis is conducted, and how insights are generated and communicated.
Clients are starting to expect this as standard. Faster turnaround, more structured thinking, and cleaner outputs are no longer differentiators. They are baseline expectations.
This is where many firms misread the shift. The question is not whether a firm uses AI tools. The question is whether the firm has redesigned its operating model around those tools. That includes how teams are structured, how work is priced, how knowledge is captured, and how delivery is executed.
Firms that treat AI as an add-on improve efficiency. Firms that treat it as infrastructure change their economics.
The Pyramid Model Is Under Pressure
The traditional consulting model has always relied on leverage and repetition.
Leverage allowed a small number of senior leaders to scale their judgment across large teams. Repetition allowed junior consultants to build experience through exposure to similar problems over time. Together, these two elements created the foundation of the consulting pyramid.
AI is now compressing both.
Much of the repeatable analytical work that sat at the base of the pyramid can be automated. Tasks such as data gathering, initial structuring, benchmarking, and first-draft analysis can now be completed faster and with fewer people. This reduces the need for large junior teams and challenges the economics of the traditional model.
At the same time, it disrupts the apprenticeship pathway. If junior consultants are no longer exposed to the same volume of foundational work, firms need to rethink how they develop the next generation of leaders.
In parallel, the value of senior experience increases. We are already seeing smaller, more senior teams delivering work with greater speed and clarity. Partner involvement is becoming more visible, and expectations around accountability are rising.
This is not a temporary adjustment. It is a structural shift in how consulting work is delivered and how talent is developed.
New Models Are Emerging Across the Market
As these pressures build, the consulting market is beginning to reorganise.
Some firms are embedding AI directly into their existing service lines, improving speed and consistency across traditional offerings. Others are investing in internal platforms and proprietary tools that allow them to codify knowledge and scale delivery more effectively. A smaller group is taking a more structural approach, building venture-style models that sit alongside the partnership and create new forms of value through technology and intellectual property.
At the same time, a second trend is gaining momentum.
More senior consultants are leaving large firms to build focused, high-impact boutiques. These firms operate with smaller teams, supported by AI, and concentrate on specific problem areas or industries. They compete on expertise, speed, and direct access to senior judgment.
This combination of scale platforms and specialist boutiques is accelerating a broader polarisation of the market. Large firms benefit from brand, reach, and capital. Smaller firms benefit from focus, agility, and senior-led delivery.
The segment in the middle, without clear differentiation on either dimension, is starting to come under pressure.
Pricing, Talent, and Competitive Boundaries Are Shifting
These structural changes are beginning to flow through into how consulting firms operate commercially.
Pricing models are evolving as AI reduces the effort required to deliver certain types of work. Time-based billing becomes harder to defend when efficiency increases. In response, some firms are experimenting with outcome-based pricing, shared-risk models, or hybrid structures that link fees more closely to impact.
Talent strategy is also changing. Firms are no longer hiring primarily to increase capacity. They are hiring to increase capability. The emphasis is shifting toward individuals who combine strong judgment with the ability to work effectively in AI-enabled environments.
At senior levels, hiring decisions increasingly resemble capital allocation. Bringing in a partner is not simply about filling a gap. It is about investing in a capability that can shape revenue, build new propositions, and strengthen the firm’s position in a changing market.
At the same time, the competitive boundary between consulting firms and technology companies is beginning to blur. As consulting firms partner with AI providers, they share access to client problems, workflows, and talent. Over time, this creates the possibility that technology platforms move further into advisory territory.
The relationship is currently collaborative. It may not remain so indefinitely.
What Has Not Changed
For all the structural change, the core of consulting remains intact.
AI can accelerate analysis, improve structure, and increase speed. It can enhance the quality of inputs and reduce the time required to reach an initial view.
But it does not replace judgment.
It cannot define the right problem in an ambiguous situation. It cannot align a leadership team with competing incentives. It cannot make decisions where the data is incomplete or the stakes are high. It cannot build trust over time with senior stakeholders.
These are the capabilities that organisations continue to pay for.
They are also the capabilities that become more valuable as everything else becomes faster and more commoditised.
The Answer Is Now Clear
AI has not removed the need for consulting. It has clarified it.
What remains is the part of the profession that always carried the most value. Judgment sits at the centre, alongside trusted relationships and the ability to execute under pressure. Everything else is being compressed as AI absorbs repeatable work.
This is not smaller consulting. It is sharper consulting. Fewer people, more seniority, and a direct link between advice and outcome. Firms that adapt will strengthen their position. Those that do not will fall behind.
It has clarified it.
Keep the judgment.
Keep the network.
Keep the execution.
Strip out the rest.
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.
