Recruitment is full of work that is repetitive, text-heavy and time-sensitive. That makes it an obvious candidate for AI. It also makes it easy to automate the wrong things, and to lose the personal judgement that distinguishes a specialist firm from a volume operation.
Technology should reduce complexity, not create it.
Where AI tends to earn its place
- Drafting and structuring job briefs, adverts and client updates from consultant notes.
- Summarising call notes and interviews so nothing important is lost between conversations.
- Organising candidate and client knowledge so the team can find what the business already knows.
- Preparing research on target clients and markets ahead of business development.
- Keeping candidates informed, so fewer people are left waiting without an update.
Where judgement should stay human
- Deciding who belongs on a shortlist, and why.
- Reading what a client actually needs, which is often different from the brief.
- Handling sensitive conversations about offers, counter-offers and career decisions.
- Deciding which clients and markets the business should pursue.
Start with the problem, not the tool
The useful question is not "how do we use AI?" It is "where does work slow down, and what is that costing us?" Sometimes the answer is an AI capability. Sometimes it is a better process, a cleaner system or a single well-designed form.
Candidate and client data also carries real obligations. Any AI capability should be introduced with clear rules about what data it touches, where that data goes and who remains accountable for the decision.
AI earns its place when it gives consultants more time for the parts of the work only they can do. That is the standard worth holding it to.