Consulting models were under pressure long before AI arrived
As the consulting sector endures a period of flat-growth, multiple commentators have suggested the sector is having its lunch eaten by artificial intelligence. But Alex Adamopoulos, CEO of Emergn, explains that while AI might be accelerating that disruption, the challenges the industry is facing did not begin when it entered the equation.
For decades, the value of consulting has centred on delivering insight: frameworks, diagnostics, and strategic recommendations. That model was designed for a time when access to expertise was scarce and transformation unfolded at a slower, more predictable pace. But today, that’s no longer the world we operate in.
Today, organisations aren’t short on information; they’re short on capability. As AI makes once-premium outputs like market research and strategy roadmaps replicable in minutes, it’s prompting business leaders to ask: What are we really paying for?
Leaders are losing patience with the old model
AI isn’t just speeding up decision-making; it’s compressing delivery timelines and placing new demands on teams across product, tech, and operations. As a result, many organisations no longer have the time, resources, or appetite for lengthy, top-down engagements that leave internal teams no better equipped to act than before.
What’s under pressure is the assumption that expertise alone drives value. Too often, traditional consulting firms engage from a distance: diagnosing challenges, prescribing solutions, and then stepping away. In a business environment where priorities shift weekly and capabilities must evolve continuously; this episodic model no longer holds up.
What leaders want now isn’t more insight; it’s adaptability. They need teams, systems, and ways of working that can respond to change and deliver value long after the consultants have left the room.
Consulting isn’t disappearing, but it is being redefined
What’s emerging isn’t the end of consulting, but a redefinition of its purpose. Increasingly, forward-looking organisations are turning to partners not to advise from afar, but to work alongside their teams, embedding new ways of thinking, helping internal functions collaborate more effectively, and co-creating environments where learning and delivery happen simultaneously.
This shift is especially visible in product-led businesses. The complexity of digital ecosystems, combined with the speed of AI-driven change, requires far more than a static roadmap. It demands a model where the partner’s role is to transfer capability, enabling teams to think, prioritise, and act like high-performing product organisations.
In this context, the most valuable consulting engagements leave behind not just recommendations, but a repeatable method of working — one that scales with the organisation, adapts as priorities evolve, and equips people to improve continuously.
AI isn’t a substitute; it’s a stress test
Many large firms are racing to bolt AI onto their existing service lines. Automating research, streamlining slide creation, and accelerating data synthesis can make operations leaner, but efficiency alone doesn’t address the deeper question: if AI can do much of the work, what’s the enduring value of the engagement?
At best, these tools highlight where human judgement, context, and collaboration still matter most. At worst, they expose how much of the traditional model relies on outputs that are no longer scarce or differentiating.
The firms that thrive in this new landscape will not be those that simply automate faster but those that reimagine what clients truly need and reshape how they deliver it.
Capability is the future of consulting
Where legacy models were often built around repeatable engagements and retained advisory, modern consultancies are now being judged on different criteria: How quickly can they help clients become self-sufficient? How effectively can they embed change into everyday work? How resilient are the systems and teams they help to build?
That requires a fundamental shift in posture. From delivering answers to enabling action; from handing down strategy to co-creating capability; from operating in the boardroom to embedding within cross-functional teams.
At Emergn, we see this shift in every engagement. AI may be the accelerant, but the core demand is the same: organisations want to deliver better products, faster, with their own people. The challenge isn’t just technical; it’s structural, cultural, and operational. And it requires more than a new toolset; it requires a new way of thinking about value.
Consulting isn’t broken, but its assumptions are due for an update
Consulting will always have a role in helping organisations navigate complexity. But the nature of that role is changing, not because AI has arrived, but because leaders are demanding more enduring impact.
In a world where insight is abundant, the real differentiator is capability. Consultancies that build it (rather than just talk about it) will be the ones that remain relevant in the years to come.
