Wendy Spalding | Director | Tuesday Consulting | mail me |
As artificial Intelligence (AI) reshapes recruitment at every level, we are cautioning boards and organisations against assuming the technology can do the same work at the top of the house that it does elsewhere in the hiring funnel.
AI adoption in recruitment has accelerated sharply over the past two years. Industry data shows that usage has roughly doubled in the past year alone. The vast majority of companies now use some form of AI somewhere in their hiring process.
Executive search requires human judgement
For high-volume, lower-risk roles, the technology has proven its worth. It enables faster screening, lower cost-per-hire and the ability to process thousands of applications in the time it once took a recruiter to read a handful of CVs.
But executive search is a different proposition. AI is useful in mapping talent pools, surfacing patterns in candidate movement, and giving us quicker access to market intelligence. What it cannot do is sit across the table from a CEO candidate and assess whether they have the judgement, the ethics, and the stakeholder instincts to lead an organisation.
Industry research on executive search bears this out. Leadership hiring is described as fundamentally relational. It requires trust and nuanced judgement that experienced executive search consultants continue to provide more reliably than automated tools alone. The firms seeing the best outcomes in 2026 are not those replacing recruiters with AI. Instead, they are combining both. They use technology for speed and people for judgement. This distinction matters more, not less, as the qualities boards look for in leaders evolve.
Recent executive search commentary points to a shift away from traditional markers of readiness, such as tenure and title. Instead, boards are focusing on how a leader thinks, decides and adapts under pressure. They want to know whether a leader can make a sound call without perfect information. They also consider when a leader should trust a system and when they should challenge it. Finally, they assess whether a leader can hold a team together through disruption. These are not data points an algorithm can extract from a CV or a LinkedIn profile.
Leadership assessment goes beyond the CV
Boards are no longer just asking who has the right experience. They’re asking how a leader behaves under pressure, how they build trust across a stakeholder base, and whether they have the cultural authority to actually land change in an organisation. That is advisory work. It requires context, conversation, and an executive search consultant who has sat in the room with both the client and the candidate.
There is also a trust dimension that cannot be ignored. Surveys of job applicants consistently show that only around a quarter trust AI to evaluate them fairly. This finding carries particular weight at the executive level. Candidates are often passive, highly sought-after, and unwilling to engage with a process that feels automated or impersonal.
Approaching a CFO or COO about a confidential opportunity is not a task that can be outsourced to a chatbot. It requires discretion, relationship capital and judgement about timing and framing. Only an experienced search consultant can offer this combination.
This is not a call to reject AI outright. We use technology to work faster and smarter, and we’d be doing our clients a disservice if we didn’t. But efficiency and judgement are not the same thing. The moment a search firm starts treating AI outputs as a substitute for human assessment at the executive level, it has stopped doing executive search and started doing data entry.
A hybrid model shapes the future
The way forward is a hybrid model. The approach uses AI to widen and sharpen the talent map. At the same time, it keeps human insight firmly at the centre of how senior leaders are assessed, engaged and ultimately placed.
Technology can tell you who exists in the market. Only a person can tell you who is right for this business, at this moment, leading this team. That distinction is exactly where our value lies.
This balance between technology and human judgement will increasingly define the future of executive search. AI can expand access to information and accelerate parts of the search process. However, leadership assessment still depends on context, relationships, discretion and nuanced judgement.
For organisations navigating increasingly complex leadership requirements, the future of executive search will therefore involve using technology where it adds value while preserving human expertise where judgement matters most.
