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AI in executive hiring
What leaders need to know now
RECRUITMENT
Jim Green
Senior Consultant (recruitment), Campbell Tickell
Jim Green
Senior Consultant (recruitment), Campbell Tickell
Issue 84 | June 2026
Artificial intelligence (AI) is no longer a distant or theoretical concept in recruitment. A few short years since it started gaining traction as a workplace tool, AI is already widely used and embedded in how many organisations identify, evaluate and appoint new colleagues. With high-volume hiring in particular, the temptation to automate and even delegate some aspects to AI is understandable, though not without problems.
Are things different in the recruitment market for roles at senior and executive level? In our work across executive and non-executive recruitment, we increasingly see the same questions arise: how is AI actually being used, what impact does it have, and what does it mean for those involved in the process?
What are we worried about?
For our candidates and our clients alike, the concerns are very reasonable, the most immediate being the fear of ‘invisibility’. Candidates can rightly worry that their profile may never reach a human decision-maker if algorithms filter them out at an early stage.
That concern reflects a real shift in the process as concerningly, AI tools are now widely used to organise, rank and prioritise candidate pools before any direct engagement takes place (sometimes encouraged by built-in features within recruitment software). In a market where career narratives at senior level are often nuanced and non-linear, there is a legitimate concern that experience can be reduced to overly simplistic signals.
Another major concern is around fairness. Research has consistently shown that AI systems can replicate historical hiring patterns, potentially disadvantaging candidates whose careers do not follow traditional trajectories. For example, where candidates have moved across sectors, taken career breaks, or built portfolios of experience, this can feel like a material risk.
Alongside this is a broader concern about misrepresentation: the idea that algorithms lack the ability to understand context, scale and impact in the way a human conversation can.
Hiring organisations can also have a further set of concerns relating the quality of documents produced for them by the executive recruiters they engage with. Anecdotally from conversation with our clients, we have heard stories on more than one occasion of poor practice in this area, such as recruiters presenting reports containing ‘hallucinations’ within candidate write-ups.
“Candidates can rightly worry that their profile may never reach a human decision-maker if algorithms filter them out at an early stage.”
Can AI add value?
Despite these valid concerns, AI can be a positive force in recruitment, with the caveat that its use must be careful and sparing. It tends to be most effective in supporting the research and mapping phases of a search, as a supplement to the recruiters own headhunting efforts.
Advanced tools can analyse vast datasets to identify potential candidates, including individuals who are not actively seeking new roles, but whose experience aligns with the requirements of a position. This expands the reach of search activity far beyond traditional networks and, in theory, allows for a more systematic exploration of the talent market.
With the firm guardrail that human search is only being supplemented, not supplanted, in this way, there is even a case to be made that AI may serve to broaden the diversity of candidate pools, serving as a tool to extend and deepen headhunting reach.
Human judgement and the limits of AI in executive recruitment
Executive recruitment is inherently complex. It involves assessing not just capability, but judgement, cultural alignment, and the ability to navigate ambiguity. These are dimensions that remain difficult to quantify, and current AI tools are not designed to replace the nuanced evaluation required. Even the most advanced systems struggle to interpret context, interpersonal dynamics, or the subtle indicators of leadership potential that experienced search professionals identify. Conversation, interaction, and informed judgement, are areas where human expertise remains essential.
So, when it comes to evaluating candidates for roles at the most senior levels, AI must play a much more limited role, if any role at all. At Campbell Tickell we are clear that no evaluation or ranking of candidates is ever conducted using AI, and that the human judgement of our consultants – bringing into play as it does the knowledge they have of our clients and the nuanced requirements of each role we handle – is the only method of evaluation that is fit for purpose.
From our perspective, the role of AI in executive search is clear, and limited. It is a powerful tool for expanding reach, improving rigour and enhancing insight. But its value lies in supporting, not replacing, the core disciplines of search: deep market knowledge, rigorous assessment and trusted relationships.
“At Campbell Tickell we are clear that no evaluation or ranking of candidates is ever conducted using AI.”
