What AI Has Actually Changed About Senior Hiring

It has become difficult to have a serious conversation about hiring without someone mentioning AI within the first three minutes. Most of those conversations are not useful. They oscillate between “AI will replace recruiters” and “AI is just another tool” without saying much that helps anyone hiring or being hired right now.

Two years into AI being a normal part of the hiring stack, here is what we are actually seeing change at the senior end of the market, and where the fundamentals are unchanged.

What has shifted

CV screening is now meaningfully automated at most large employers. This affects junior and mid-level hiring more than senior, but it has consequences at the senior end too. Senior candidates often submit applications that are filtered against criteria they don’t see, and the criteria are often poorly calibrated. We’ve placed candidates who had been rejected via automated screening at the same companies a year earlier, with the same CV. The rejection was an artefact of the screening setup, not a judgement about the candidate.

The implication for senior candidates is straightforward: if a role really interests you, don’t rely on the application form. Find a human channel. A direct LinkedIn message to the hiring manager or a referral routes around the screening layer entirely, and at the senior level, employers generally welcome the directness.

Interview preparation has changed substantially. Candidates routinely use AI to simulate interviews, generate prep notes, and rehearse for specific competency questions. This works well — we’ve seen measurable improvements in candidate performance from this kind of structured preparation. The implication for interviewers is that the value of well-rehearsed answers to predictable questions has gone down. The questions that actually discriminate between candidates are now the unpredictable ones, the follow-ups, and the conversations that go where the candidate’s actual experience leads.

Job description generation is now ubiquitous and largely poor. Most AI-drafted job descriptions are interchangeable and don’t distinguish one company from another. This matters because the strongest senior candidates are often choosing between multiple processes, and a generic JD doesn’t help an employer compete for attention.

What hasn’t shifted

The senior hiring decision is still, fundamentally, a judgement call made by humans about a human. The variables that decide the outcome — chemistry, motivation, the candidate’s read of the company, the company’s read of the candidate — are not amenable to automation. Every senior hire we’ve made in the past two years was decided by the same kind of conversations that decided senior hires twenty years ago.

Reference conversations remain decisive and remain entirely human. The reference call where someone tells you what a candidate is really like — strengths, gaps, how they behave under stress, what motivates them — is doing more work in senior hiring decisions than ever, partly because the formal stages of the process have become more standardised.

The strongest candidates still come through trusted channels, not through pipelines. The most senior placements we make are almost never from candidates who applied; they’re from candidates we have known for years, often introduced through other candidates we’ve placed. AI has not changed this and we don’t see it changing.

A practical note for hiring teams

If you are hiring at the senior level, the things that disproportionately matter are: the calibre of the hiring manager and their availability through the process; the speed of decision-making (the strongest candidates have other options and they will exercise them); the substance of what the company offers beyond the salary (the role itself, the team, the trajectory); and the quality of the conversations the candidate has during the process.

None of those are AI problems. They’re attention and discipline problems, and they decide the outcome more than anything else.