Should recruiters use AI? Yes (with caveats).
Should recruiters use AI? Yes (with caveats).
But all the AI and tooling in the world doesn't change the fundamentals. AI doesn't make a bad process good. It makes it fast. And a bad process at scale is the worst version of hiring there is. Point it at a structured, consistent one, and it helps run that process for every candidate. Not speed. Not cleverness. Consistency.
A few things I believe after building this into a real talent function:
βͺοΈ The recruiter stays at the centre. AI can make you faster and better informed. The human still makes the call and owns the outcome.
βͺοΈ The constraint isn't which model is smartest. It's whether it can see the whole hiring story. Scatter it across email, Slack, and half-filled ATS notes, and your AI only ever reasons about the easy half.
βͺοΈ Hiring is two kinds of work. Predictable work you automate. Judgment work AI assists with, but never decides.
βͺοΈ The resume is an even weaker signal now. Both sides have the same tools. That's not a crisis, it's a forcing function for skills-based hiring. It strips away the lazy proxies and rewards the teams who already knew what "good" looks like and built a process to test for it.
I just hosted the first episode of the Pinpoint How-To Series on exactly this.
I walk through the five areas where this changed how I work: intake and role design, candidate management, recruiting content, reporting and insights, and interview prep.
It's 20 minutes, practical, and I share the three red lines I won't cross. Link in the comments.