AI in Recruiting: Where It Helps, Where It Hurts, and Where We Draw the Line

“We’re using AI for hiring now.” You’ve heard it. Maybe you’ve said it. And honestly? There’s nothing wrong with it — depending on what you mean.

Because AI in recruiting isn’t one thing. It’s a spectrum. And where you land on that spectrum says a lot about how you think about people, culture, and what hiring is actually for. We’ve been watching this shift closely. And we have some thoughts.

First, let’s give AI the credit it deserves

Let’s be honest — recruiting has always had an efficiency problem. Hundreds of applications for a single role. Hours spent on scheduling back-and-forth. Notes that never make it into the system. Screener calls that feel repetitive by the tenth one.

AI can genuinely fix a lot of that. And we’re not going to pretend otherwise. When used well, AI can screen CVs faster and more consistently than any human inbox, handle scheduling without the three-day email chain, transcribe and summarize interviews so recruiters can stay present in the conversation, and reduce the administrative load that burns out even the best talent teams.

That’s real value. That’s AI doing what it’s supposed to do — removing friction so humans can focus on what actually matters.

So where does it start to go wrong?

The problem isn’t AI. It’s what happens when efficiency becomes the goal instead of the tool. When companies start optimizing for the process rather than for the person, something breaks. And it usually breaks quietly — in the candidate experience, in the quality of hires, in the culture of teams built on filtered data instead of real conversations.

Here’s what that looks like in practice: a candidate applies, gets an automated screening, passes an AI assessment, and only speaks to a human after three automated touchpoints — if at all. A recruiter relies on AI scoring to rank candidates without ever questioning what signals the model is rewarding. An interview gets replaced entirely by an async video tool where someone answers questions alone, on camera, to no one.

None of these are hypothetical. They’re happening right now, at companies of all sizes. And the candidates? They notice. They talk about it. And the best ones — the ones with options — often quietly decide this isn’t the company they want to work for.

The thing AI still can’t do

Here’s what no algorithm has figured out yet: what it feels like to sit across from someone and just know they’re the right fit. Not because their keywords matched. Not because their assessment score cleared a threshold. But because of how they talked about a problem they solved three years ago. Because of the question they asked that nobody else asked. Because of something in how they carry themselves that tells you — this person gets it.

That’s not mystical. It’s human pattern recognition built on years of experience, context, and genuine curiosity about people.

AI can tell you a candidate is qualified. It cannot tell you whether they’ll earn the trust of a skeptical team in their first 90 days. It cannot read the room. It cannot build the relationship that starts the moment a great recruiter picks up the phone. And that gap? It matters more than most companies realize — until they’ve made the wrong hire.

Where we draw the line: the AI interview

We’ll be direct about this one. We don’t support AI interviews. Not as a filter, not as a first round, not as a “just to save time” shortcut.

The image of a candidate sitting alone in front of a screen, answering questions from a bot, with no human presence, no real exchange, no moment of connection — that’s not recruiting. That’s processing people like support tickets.

And beyond the experience, there’s a deeper issue: you learn almost nothing useful from it. A great interview isn’t a questionnaire. It’s a conversation. It goes places you didn’t plan. A recruiter follows a thread because something the candidate said sparked a question. A candidate reveals something real because they felt comfortable enough to drop their guard for a moment. None of that happens when there’s no human in the room.

Hiring is, at its core, a human act. It always has been. And we believe it should stay that way — no matter how good the technology gets.

What we actually believe about AI + recruiting

Use AI to free up time. Use that time to be more human.

If AI is handling your scheduling, your screening summaries, and your note-taking — that’s more space for your recruiters to have better conversations, build real relationships with candidates, and make decisions that actually reflect your culture. That’s the version of AI in recruiting we can get behind.

The goal was never to remove the human from the process. The goal was always to find the right person for the right role. AI can help you get there faster. But a human still has to take you across the finish line.

A message to our clients and contractors

If you’re a company that works with us — or is thinking about it — this is what we want you to know: when you trust us with your hiring process, you’re not getting a pipeline of filtered profiles. You’re getting a team that has actually talked to every person we recommend. That has asked the uncomfortable questions, listened carefully to the answers, and made a human judgment call before anything ever reaches your desk.

And if you’re a contractor in our network — someone who has gone through our process or is about to — we see you as exactly that. A person. Not a data point, not a match percentage, not a profile to be ranked by an algorithm. You deserve a real conversation. And that’s what we’ll always give you.

That’s the commitment we make on both sides. And no matter how much the technology evolves, that part doesn’t change.