Delivery is a different job now with AI. Recruiters have access to tools that screen résumés, surface matching experience, summarize candidate profiles and help build shortlists faster than ever. I don’t want to minimize the productivity gains, but speed comes at a price. If leaders are not careful, AI can — and will — remove some of the early repetitions that once built strong recruiting judgment.

In staffing, judgment is critical. Recruiters need to develop a sense of knowing when a candidate is close enough to a job description to submit to a client, or when close isn’t good enough. They also need to sense when a hiring manager’s feedback points to a talent mismatch or when the problem is a poorly defined role. Without the ability to make these decisions effectively, recruiters may have a lot of activity and insufficient business impact.

As we built delivery teams at Dexian, we relied initially on exposure to develop good judgment in our recruiters. Hands-on training included hearing how experienced recruiters framed a role, watching pushback from a client without damaging the relationship and seeing the difference between filling a job quickly and filling it well. The work itself created opportunities to observe, practice and adjust.

AI Is Changing How Recruiters Learn

AI has reengineered the process. I now see a new recruiter inherit a ranked list, candidate profile or summarized risk analysis without seeing all the judgment that went into building the analysis manually. Measuring a recruiter’s growth is more challenging because although the metrics dashboard may show lots of movement, the recruiter isn’t exposed to what’s happening below the surface.

Contrary to many expectations, the main risk of AI isn’t that it makes recruiters less essential. Actually, the risk is that it may make weak judgment harder to spot until it’s already reached the client. The results: misaligned submissions, stalled searches, strained client conversations or assignments that end early.

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