When Did Consulting Stop Creating Consultants?

For years, organisations have told themselves the same story about why hiring experienced consultants has become so difficult: there is a talent shortage.

After interviewing hundreds of consultants across professional services, we believe the market is pointing to a different explanation.

The shortage is not primarily one of talent.

It is increasingly one of judgement.

Across executive search assignments in tax, legal, finance, cybersecurity, digital transformation and technology consulting, a remarkably consistent pattern has emerged. Clients rarely struggle to find professionals with technical knowledge. The market is full of specialists with strong credentials, impressive project portfolios and experience gained within some of the world's most respected consulting firms.

What has become considerably harder to find are consultants who combine that technical expertise with commercial reasoning, intellectual curiosity and the confidence to advise clients when there is no obvious answer.

This distinction matters because technical expertise and consulting are no longer the same thing.

From the outside, this may seem surprising. The consulting industry has never been larger, more sophisticated or better equipped. Leading firms have invested billions in digital transformation, global knowledge platforms, learning and development, quality assurance and, more recently, artificial intelligence. Their ability to deliver complex projects consistently across jurisdictions has reached extraordinary levels of maturity.

This transformation has been an undeniable success. Clients receive higher quality work, delivery is more consistent, and specialist knowledge has never been more accessible.

Yet every successful operating model optimises for something.

Over the past two decades, consulting has optimised for scale, consistency and deep specialisation.

That was exactly what the market demanded.

Regulation became more complex. Clients required increasingly specialised expertise. Projects grew larger, more international and more technically demanding. Firms responded by building highly efficient delivery models supported by methodologies, knowledge repositories, standardised processes and reusable intellectual capital.

There was nothing wrong with this evolution.

In fact, it was probably inevitable.

The unintended consequence, however, is that consulting gradually changed the way consultants are developed.

For decades, the profession relied on apprenticeship. Young consultants learned by working alongside experienced advisers, participating in client discussions, defending recommendations and observing how senior professionals navigated situations where there was no established methodology and no perfect answer. They certainly acquired technical expertise, but more importantly, they developed judgement. They learned to balance competing interests, recognise commercial realities and understand that clients rarely pay for information alone. They pay for interpretation, perspective and sound decision-making.

Today's environment is fundamentally different.

Knowledge has become industrialised. Information that once took hours to research is now available almost instantly. Methodologies have become increasingly sophisticated. Previous deliverables are searchable. Best practices are documented. Artificial intelligence can already analyse legislation, compare regulations, summarise documents, draft reports and retrieve relevant information in seconds.

These are extraordinary advances.

They make consultants more productive, reduce operational risk and improve quality.

They also change what young professionals spend their time doing.

When a significant part of a consultant's early career revolves around executing work within carefully designed frameworks, there are inevitably fewer opportunities to develop the broader judgement that has traditionally distinguished advisers from technical experts.

Executive search makes this visible in a way that individual organisations rarely experience.

A company interviewing six candidates for a role sees six careers.

An executive search firm interviewing hundreds of professionals across competing organisations begins to see patterns.

One of those patterns has become increasingly difficult to ignore.

The candidates who consistently stand out are rarely those who simply know the most.

They are the ones who think differently.

Before discussing technical solutions, they seek to understand the client's commercial objectives. They connect ideas across disciplines rather than remaining confined within their own specialty. They challenge assumptions instead of accepting them. They recognise that the technically correct answer is not always the commercially appropriate one. Most importantly, they remain comfortable operating when no methodology provides certainty.

That capability is becoming increasingly valuable for another reason.

Artificial intelligence is fundamentally changing the economics of expertise.

Much of the public debate still revolves around whether AI will replace jobs. That is probably the wrong question.

Technology rarely replaces professions overnight. It changes them by automating specific activities, particularly those that are structured, repeatable and based on identifiable patterns.

Ironically, many of the characteristics that made consulting firms exceptionally successful over the past decade are also the characteristics that artificial intelligence learns most effectively.

Research, document review, regulatory comparison, knowledge retrieval, presentation drafting and first-pass analysis are increasingly AI-assisted. Every major consulting firm is investing heavily in these capabilities because they improve productivity and free consultants from routine work.

This should not be seen as a threat to consulting.

It should be seen as a shift in where consultants create value.

For years, professional success often depended on accumulating increasingly specialised knowledge. Today, knowledge itself is becoming abundant. The competitive advantage is no longer simply possessing information but knowing how to interpret it, challenge it and apply it within a complex business context.

This is where the market appears to be changing.

The more structured a role becomes, the easier it is for technology to augment significant parts of it.

The more a professional creates value through judgement, commercial understanding, systems thinking and the ability to integrate ideas across disciplines, the more difficult that value becomes to replicate.

The World Economic Forum's Future of Jobs Report 2025 points in exactly the same direction. Analytical thinking remains the capability employers value most, while creative thinking, resilience, leadership and systems thinking continue to rise in importance. At the same time, nearly 40% of today's core workforce skills are expected to change before the end of the decade as artificial intelligence reshapes knowledge work. The implication is difficult to ignore. Access to expertise is becoming easier. The ability to exercise sound judgement is becoming scarcer.

Executive search is already reflecting this shift.

Increasingly, organisations are not asking us to identify the candidate who knows the most. They are looking for the consultant who can lead difficult conversations, influence senior stakeholders, connect technical complexity with commercial reality and provide clarity when uncertainty cannot be eliminated.

Those professionals still possess deep specialist expertise.

The difference is that expertise is only one part of their value.

Perhaps this explains why organisations continue to describe today's labour market as suffering from a talent shortage despite the abundance of highly qualified professionals.

The shortage is not primarily one of intelligence.

Nor is it one of technical capability.

It is increasingly a shortage of professionals who combine depth with breadth, specialist knowledge with business judgement, analytical rigour with intellectual curiosity and technical excellence with the confidence to advise when no framework provides the answer.

This is not simply a recruitment challenge.

It is a strategic question for every consulting firm.

Over the past twenty years, the industry became exceptionally good at producing specialists because that is precisely what the market rewarded.

The next twenty years may reward something different.

Artificial intelligence will continue making knowledge more accessible, research faster and routine analysis increasingly automated. Those capabilities will become available to every firm.

Judgement will not.

The firms that create the greatest value will not necessarily be those with the largest knowledge repositories or the most sophisticated AI platforms. Those advantages will gradually become commonplace. Their competitive advantage will come from something considerably more difficult to systematise: developing consultants who can think independently, navigate ambiguity, connect disciplines and earn the trust required to advise when the stakes are high.

From where we sit, that profile is already becoming the rarest talent in the consulting market.

It may also become the most valuable.