What does it mean to be a productive recruiter?
For a long time, we’ve measured productivity through activity. How many candidates did we source? How many calls did we make? How many interviews did we schedule? How quickly did we fill the position?
Those things still matter. But as AI becomes part of the way we work, we need to reconsider what recruiter productivity really looks like.
Today, AI can help recruiters search for talent, summarize resumes, draft outreach, prepare interview questions, analyze labour market information, and complete administrative tasks much faster than we could even a few years ago. I use these tools myself, and I see the value.
But saving time isn’t the same as creating value.
The more interesting question is what we do with the time we get back.
At a recent RPOA conference, one of the recurring themes was that organizations are investing in AI to improve productivity, but the benefits aren’t always realized because the way we work hasn’t necessarily changed. If we automate tasks without reconsidering how that time is used, we may become more efficient without improving our hiring outcomes.
Throughout my career, I’ve worked with some exceptional recruiters. What made them exceptional wasn’t how many candidates they could find or how quickly they could move people through a process.
They understood the business. They knew how to have a conversation with a hiring manager and uncover what was really needed, rather than accepting what was written in a job description. They understood their candidates, and they had the confidence and experience to say when something wasn’t working.
AI doesn’t make those skills less important.
It makes them more important.
If technology allows a recruiter to identify potential candidates in minutes instead of hours, that’s a productivity gain. But if the recruiter doesn’t understand which candidates are actually right for the organization, we’vebecome faster at producing a list.
The same applies to data. AI can help us understand talent availability, compensation trends, skills in demand, competitor activity, and where particular talent pools might exist. That’s incredibly useful information, but someone still needs to interpret it.
Recruiters also need to know when to question the technology itself. AI can produce recommendations and identify potential matches, but we still need to understand the information behind those recommendations and recognize when something doesn’t look right.
A hiring manager may want five years of experience in a very specific industry, while the market data tells us that the talent pool is extremely small. A productive recruiter doesn’t return to the database and search harder.
They start asking questions.
Do we really need five years?
Could someone from an adjacent industry bring the skills we need?
Could we develop part of that capability internally?
Does the compensation reflect what’s happening in the market?
Should we rethink the role?
That’s where I believe recruiter productivity is heading. It’s becoming less about how much activity we can produce and more about the quality of the decisions we can influence.
That requires something technology alone can’t provide: business acumen. Recruiters who understand how their organization makes money, what their leaders are trying to accomplish, where the business is growing, and what challenges it faces are in a much stronger position to advise rather than execute.
Relationships matter just as much. Recruitment is still a business built around people making important decisions. Candidates are deciding whether to change jobs, sometimes after spending years with an organization. Hiring managers are making decisions that can affect their teams for years.
Those conversations require trust.
Technology can help us prepare for those conversations. It can give us information and remove some of the administrative work around them, but it can’t build the relationship for us.
That’s why the conversation about AI and recruiter productivity needs to go beyond which tools recruiters are using. The technology will continue to change, and the tools we’re excited about today will probably look very different a few years from now. What matters is what we do with them.
Recruiters who learn how to use AI effectively will have an advantage over those who ignore it. Not because they’ll work faster, but because they’ll have more capacity to do the parts of the job that require judgment, curiosity, influence, and human connection.
ForHR and Talent Acquisitionleaders, there’s an important consideration here as well. If AI makes recruiters more efficient, the goal shouldn’t be to give them more requisitions. We should be asking how that additional capacity can create greater value for the business.
Can recruiters spend more time understanding future workforce needs?
Can they bring better talent intelligence to hiring conversations?
Can they build relationships with talent before a vacancy exists?
Can they improve the experience candidates have with the organization?
Can they become stronger advisors to the business?
We should also be asking whether that additional capacity is improving outcomes. Are we presenting better-qualified candidates? Reducing unnecessary interviews? Improving hiring manager satisfaction and ultimately making better hiring decisions? Productivity should increasingly be measured by the value we create, not simply the volume of work we complete.
Those are much more interesting measures of productivity to me.
I’ve seen a lot of technology change recruitment over the years, and I’m sure we’ll see much more. AI may be one of the most significant changes yet, but I don’t believe the future of recruitment is about doing the same work faster.
It’s about creating the space to do better work.
And ultimately, that may be AI’s greatest contribution to our profession.
By Ted Pierni
Head of Delivery | Robertson & Company
Ted Pierni is Head of Delivery at Robertson & Company. With more than 25 years of experience in Talent Acquisition, RPO, workforce strategy, and recruitment leadership, he writes about emerging trends shaping the future of hiring.
