A Guide to the Executive Search Industry
At first glance, the UK hiring market looks as though it should be becoming easier for employers.
The latest KPMG and REC Report on Jobs points to a softer permanent recruitment market, with permanent placements falling markedly and candidate availability increasing as a result of redundancies and weaker confidence. In a market like that, it is tempting to assume that companies should have more choice, more leverage and an easier time finding the people they need.
But that is only part of the picture.
PwC’s recent AI Jobs Barometer points in the opposite direction. Specialist AI job postings in the UK rose by 61% year on year, while the wage premium for workers with AI skills has climbed sharply. In other words, even as the broader hiring market cools, demand for AI capability is accelerating.
That creates an important paradox for employers. There may be more candidates in circulation, but that does not mean there are more candidates with the skills, judgement and experience required for the roles companies now need to fill.
This is especially true at leadership level.
Many businesses are now building out AI teams. They are hiring data scientists, machine learning engineers, AI product specialists, transformation leaders and technical managers who can help them understand where AI can create value. But the leadership layer remains much thinner than the broader technical market.
That is partly because AI, as a business discipline, is still relatively young. There are people with strong technical expertise. There are people who have built models, worked with data, or delivered AI-enabled products. But there are far fewer people who have led large AI teams, managed board-level expectations, scaled commercial products, navigated governance and risk, and turned technical possibility into measurable business outcomes.
That is the difference between AI skills and AI leadership.
For many organisations, the real challenge is not simply finding someone who understands the technology. It is finding someone who can explain it clearly to non-technical stakeholders, identify practical use cases, hire and organise the right team, avoid expensive distractions, and give investors or board members confidence that the business is moving quickly without being reckless.
A weaker labour market can therefore create a false sense of abundance. Employers may see more applications, more available candidates and more people open to conversations. But for senior, specialist or strategically important roles, the relevant talent pool may still be extremely narrow.
This matters because hiring mistakes are more costly in uncertain markets. When companies are cautious about permanent recruitment, every senior appointment carries more weight. A weak hire can slow progress, damage confidence and leave a business stuck between ambition and execution. A strong hire can bring clarity, momentum and credibility.
The wider market may be softer, but that does not remove the need for disciplined search. In some areas, it makes it more important.
AI is a good example of this. As more companies move from experimentation to implementation, the question is no longer just whether they can access AI skills. It is whether they can attract people who know how to lead AI inside real businesses.
That is why candidate availability and candidate suitability should never be confused. A cooler market may produce more candidates, but it does not automatically produce the right ones.
