The Gap Between Trying and Trusting

A lot of companies have tried some form of AI in hiring. Fewer would say, honestly, that they trust it. I've heard the same complaint from recruiters across very different setups.

There's a gap I keep circling back to, and it isn't the gap between old tools and new ones. It's the gap between trying something and actually trusting it.

Plenty of companies have tried some form of AI in hiring by now. Fewer of them would say, honestly, that they trust it. That difference matters more than it sounds. Trying is a low bar a free trial, a pilot that looked good in a sales call. Trusting means you'd let it run without double-checking every output. It means you'd defend its call to someone who questioned it.

I think about why that gap exists more than almost anything else in this space. Part of it is that a lot of what got built was built for the demo not for the messy reality of an actual hiring process, with actual edge cases. A resume that doesn't parse right. A career break that has a completely reasonable explanation no keyword match will ever catch.

I've heard versions of this same complaint from recruiters across very different setups someone at a large BPO telling me their "smart" screening tool flags candidates for reasons nobody can explain, someone in a BFSI hiring team quietly going back to manual review because the automated shortlist kept missing obvious fits. Different industries, different scale, same underlying gap. The tools got adopted. The trust never really followed.

But the bigger part, I think, is simpler. Trust isn't a feature you can ship. It's earned slowly by being right often enough, and being honest about the times it's wrong, until a person genuinely starts to believe it.

Most of what's out there chased adoption get the trial numbers up, show growth on a slide. Almost nothing chased trust, deliberately, as its own goal. I think that's backwards. Trying is easy to manufacture. Trust has to be earned the slow way.