Last Friday I sat down with Mark Hoge, CEO of Digital Hire, to talk about how AI is changing hiring.
We looked at it from both sides. How leaders are using AI to scale recruiting, and how candidates are experiencing it on the other end. One thing he said stuck with me.
“Everyone uses AI to write resumes now, so the keywords don’t mean anything anymore.”
That line exposed the real issue. AI did not break hiring. It revealed how fragile the system already was. When filtering is shallow, automation just scales the problem.
Hiring is one of the clearest places this is showing up, but it won’t be the last.
Let’s get into it.
AI Just Exposed Hiring
Most companies think their hiring problem is volume. Too many candidates, too many resumes, not enough time. That sounds right, but it’s not the real issue.
The actual problem is simpler and more uncomfortable. When everyone uses AI to write resumes now, keywords stop meaning anything. On paper, everyone looks qualified. In practice, no one stands out.
Most teams responded by throwing more AI at resume screening. That just speeds up the wrong work. You still end up with thousands of candidates who match on paper and fail in practice. Faster noise is still noise.
Signal only comes back through conversation. That’s the shift most teams are missing.
Here’s what that looks like in practice.
Instead of screening resumes, Digital Hire lets AI hold the first conversation. It checks the non-negotiables and gathers early signal before a human ever gets involved. Only after that does a human step in, reviewing a short video and making the actual call.
That’s where AI actually helps. It is great at motion. Outreach, basic qualification, scheduling, follow-ups. AI can hold hundreds or thousands of conversations at once and gather real context about what candidates want, how they work, and what environments they will not survive in.
Humans still own responsibility. Judgment, fit, intent, and final decisions do not scale well, and they shouldn’t. The best hiring systems remove the work recruiters were never hired to do.
That balance is the future. AI handles scale. People make the calls.
If you want to see how this works in practice, not theory, the full conversation is worth your time. Watch it here.
This is one small example of how the Autonomous Organization actually gets built. Not through hype, but through fixing broken operating systems.
That’s it for today. Connect with me on Linkedin if you actually want to understand what an Autonomous Organization looks like in the real world.
