Summary: AI is compressing low-value consulting work while increasing demand for senior judgment, execution, and trust. Firms that adapt their talent models and focus on outcomes will be best positioned to capture this shift.
A recent Business Insider article ‘The rise of the AI knock-off McKinsey consultant‘ prompted a useful question.
Not what AI will replace.
But what clients will still pay for.
AI consulting impact is not about replacement. It is about redefining value.
AI might change the game, but it won’t replace the human touch.
That is where consulting still wins.
What AI Gets Right (And Doesn’t)
The rise of the “AI consultant” is getting attention for a reason. There are now tens of thousands of AI “skills” that replicate consulting workflows, allowing users to generate problem statements, hypotheses, structured analysis, and slide outputs in minutes.
On the surface, this looks close to what firms like McKinsey, BCG, or Bain produce. That is not incorrect, but it is incomplete. AI captures the visible layer of consulting, including structured thinking, frameworks, and speed of output, but it stops there.
For internal preparation, early-stage thinking, and first drafts, this capability is already useful. That part of consulting is being compressed quickly. As a result, the barrier to producing “consulting-style” work has dropped, and when something becomes easy to produce, it loses its value. Think; mass-produced goods after industrialisation, basic manufacturing output, commodity electronics, standardised software, information access via the internet, etc.
What Clients Actually Pay For
Consulting firms have always been clear on this point, even if it is often overlooked. They do not sell slides or information. They sell applied thinking.
This includes framing the right problem, testing logic under pressure, challenging stakeholders, and driving alignment across complex organisations. Clients are not paying for answers alone. They are paying for how those answers are developed, stress-tested, and defended in real-world situations.
This aligns with what we are hearing across our network in the UK, Germany, and Switzerland. In many cases, the strategy itself is not the difficult part. The real challenge is making that strategy work in practice. That is where consulting demand is now concentrating.
Execution has become the product.
The Shift Toward Senior Judgment
AI is forcing a structural shift in how consulting work is delivered. Firms are reducing reliance on junior-heavy pyramids and instead building smaller, more senior teams with higher levels of responsibility.
This shift has clear implications. There are fewer generalists, greater demand for specialists, and significantly higher expectations placed on each individual. The delivery model is also evolving, with less focus on slide production and more emphasis on implementation, engineering, and hands-on execution.
This creates a paradox. AI reduces the number of consultants required to deliver a project, but it increases the value of experienced consultants. The reason is simple. The scarce asset in consulting was never analysis. It has always been judgment and network.
Where AI Falls Short
The limitations of AI become most visible at senior levels. Consulting is not a clean or linear process. It is shaped by ambiguity, internal politics, competing incentives, and human dynamics.
AI can generate structured answers, but it struggles when stakeholders disagree, when data is incomplete, or when decisions carry significant financial or reputational risk.
A simple test highlights this gap. Will a CEO rely on an AI agent to navigate internal politics and push a major decision through a board? The answer is very likely no.
The best consultants are not always the smartest in the room. They are the ones who can take a complex, unclear situation and structure it into something actionable. AI can analyse data, but it still struggles to align people and drive decisions.
Market Reality: Adoption Still Lags
Despite the pace of technological development, enterprise AI adoption remains uneven. Many organisations have yet to scale AI across their operations, and a large proportion of senior leaders report limited financial impact from their current investments.
The issue is not the technology itself. The issue is the operating model required to implement it effectively. This gap between capability and execution is where consulting work is expanding.
Firms are increasingly being pulled closer to delivery. They are embedding AI into workflows, redesigning processes, and supporting implementation rather than stopping at strategy. Clients are no longer satisfied with recommendations alone. They expect measurable outcomes.
AI Raises the Bar for Thinking
AI introduces a second-order effect that is often overlooked. It makes weak thinking easier to produce at scale. As a result, the standard for high-quality thinking rises.
Average work becomes commoditised, while strong judgment becomes more visible and more valuable. This is directly influencing hiring behaviour across the consulting market.
We are seeing increased demand for senior profiles who can sell, lead, deliver, and take ownership of outcomes. Partner and Director hiring is becoming a strategic priority rather than a routine process.
The Hidden Risk for Consulting Firms
There is also a longer-term dynamic that is not widely discussed. Consulting firms are actively contributing to the development of these AI systems by codifying how they structure problems, analyse industries, and communicate recommendations.
In the short term, this improves efficiency and delivery. However, in the long term, these platforms may absorb that knowledge and reduce their reliance on consulting firms altogether.
For now, the partnership between consulting firms and AI platforms is mutually beneficial. But the balance of power is still evolving, and the long-term implications remain uncertain.
The Real Answer
AI consulting impact is now clear. AI handles analysis, consultants handle alignment, and clients ultimately pay for outcomes.
The slide deck was never the product. The real value lies in context, judgment, trust, and execution.
AI can replicate the format of consulting work, but it cannot replicate the responsibility that comes with making and standing behind decisions.
That realm is still the responsibility of the human.
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.
