The Future of Consulting

The Market Reality

Consulting is undergoing a structural shift.

But I don't see this in the way it’s being widely described - as simply a story of new technology - but at a deeper level.

This is a shift in supply and demand. A shift in where value actually sits.

Why does that matter?

If this were simply an AI technology story, the answer would be straightforward: adopt the tools and continue as before. But if this is a shift in supply and demand, the implication is different. It requires a change in the consultancy model itself - more fundamental, more radical, and increasingly unavoidable. Here’s why.

For decades, consulting operated in a world defined by scarcity.

Expertise was limited. Access to knowledge was constrained. Gathering data took time, analysing it took longer, and turning it into something useful required experience and structured thinking.

That scarcity is what allowed consultancies to command high prices. They weren’t just selling time - they were selling access to something clients couldn’t easily replicate.

That world no longer exists.

What Has Changed

AI has fundamentally changed one thing:

Access to knowledge.

Today, answers are instant. Analysis can be generated in seconds. Information is widely accessible - not just to consultancies, but to their clients as well.

Which creates a simple but uncomfortable reality:

When consultancies and organisations can use the same tools to produce similar research, answers, and outputs, knowledge is no longer a differentiator.

One of the biggest things that once underpinned the entire consulting model has become abundant.

The Market Shift

And when something becomes abundant, its value changes.

We’ve seen this pattern before. When supply increases dramatically, what was once valuable becomes commoditised. It begins to compete on price. Margins compress. Differentiation erodes.

That is exactly what is starting to happen to knowledge-based consulting.

Using AI to accelerate a knowledge-driven model doesn’t protect it. In many cases, it accelerates the problem. Outputs can be produced faster - but if those outputs are no longer scarce, producing them more efficiently doesn’t increase value.

It simply reduces the cost of something that is already being devalued.

The Consequence

This is why many consultancies are starting to feel pressure. And as they use AI to accelerate how fast consultants can do things using AI – this can accelerate the consequences.

• Pricing becomes harder to defend
• Clients question what they are really paying for
• Engagements become shorter, more transactional, more competitive

Not because consulting is less needed. But because what is being sold is no longer unique.

The Real Problem

But it’s important to be clear about what this change actually means.

The shift doesn’t eliminate the need for consulting. It reframes it - and creates new opportunities for consultancies that are able to respond.

Because while knowledge has become abundant, something else has not improved at the same rate:

Quality decision-making and effective change-management.

The challenge organisations face today is not getting answers. It’s knowing what to do next.

It’s understanding what actually matters, in what order, under constantly changing conditions. It’s turning possibility into progress.

In a world where almost anything can be done quickly, the real constraint becomes:

• Prioritisation
• Sequence
• Judgement

The ability to make high-quality, informed decisions - taking the right actions at the right time - and to adapt as new information emerges in rapidly changing AI-driven environments.

Why the Traditional Model Breaks

This is where the traditional consulting model starts to break down.

It was built around delivering answers:

• Analyse the problem
• Develop the recommendation
• Present the solution

That worked in a slower environment, where decisions were fewer and execution had friction.

But today, that is no longer enough.

Outcomes are not created by a single recommendation. They are created by a sequence of decisions - made well, over time. In a high-speed environment, managing that sequence consistently becomes the real challenge.

What Clients Actually Need

Clients don’t need more reports or frameworks - and they don’t want lengthy data-gathering exercises followed by recommendations based purely on opinion.

They need clarity and context - and confidence that their desired outcomes will be achieved.

They need to know:

• What to prioritise
• What to do next
• Whether what they are doing is actually working

Because the real problem is no longer knowledge.

It is enabling the right direction under speed and adaption of decisions in fast changing environments.

Where Most Firms Are Stuck

The industry is already responding - but unevenly.

We see firms moving towards:

• Productised consulting
• Outcome-based pricing models
• More structured delivery

But most are stuck in transition. They hit a ceiling with what is possible by using an LLM alone, even with agentic capabilities.

They are introducing tools.They are experimenting with AI.They are trying to productise parts of what they do.

But fundamentally, they are still operating within the same model:

People delivering projects - costly and inherently unscalable, even when accelerated by AI.

AI Doesn’t Fix the Model

This is the critical point.

AI does not fix the consulting model. It amplifies it.

Most firms are already using AI to:

• Work faster
• Generate outputs
• Improve productivity

But faster consultants do not create a scalable consultancy.

Without structure:

• Insights don’t turn into action
• Outcomes aren’t consistently measured
• Intellectual property stays in people and decks

Which means:

• Growth is still tied to headcount
• Margins remain under pressure
• Scalability is limited

This is I believe the main reason why so many AI initiatives fail to deliver meaningful impact.

Not because the technology doesn’t work. But because the consultancy model hasn’t changed.

What Must Exist

For this shift to work, something more fundamental is required.

Not more tools. Not more automation.

A systemisation of consultancy.

A system that connects:

• Structured expertise
• Defined delivery pathways
• Continuous engagement
• Measurable outcomes

Because without that:

Insight doesn’t translate into action.Action doesn’t translate into outcomes.And outcomes cannot be measured or improved.

The Direction of Travel

This is where consulting is heading.

What we are seeing is not a single shift - but an evolution through distinct stages.

From:

• Expert-led consulting (knowledge held in individuals)
• To process-defined delivery (repeatable methods and frameworks)
• To productised consulting (structured IP and reusable assets)
• To outcome-led models (value linked to measurable results – this is not the same as Outcome-Based Pricing)
• And ultimately to systemised consulting (continuous, scalable advisory)

Each stage represents increasing levels of systemisation - and with it, increasing scalability.

At the early stages, growth is driven by people. Expertise sits in individuals, delivery varies, and scaling requires hiring more consultants.

As consulting becomes more structured, knowledge is captured, delivery becomes more consistent, and elements of scale begin to emerge.

But it is only when consulting becomes systemised - when expertise, delivery, and outcomes are connected within a system - that true scalability is unlocked.

At that point:

• Delivery is no longer dependent on individuals
• Decision-making becomes structured and repeatable
• Outcomes can be measured and improved continuously
• Growth begins to decouple from headcount

This is not just a change in how consulting is delivered.

It is a shift in how consulting scales.

Not as a trend - but as a necessity.

A final word

This shift is already underway.

The question is not whether it happens. It is whether firms recognise it early enough to adapt.

Because in a world where knowledge is abundant, execution is instant, and outputs are commoditised - value moves.

From answers… to decisions.

From outputs… to outcomes.

And from projects… to systems.

And the firms that understand that shift won’t just adapt to the future of consulting.

They will define it.