04-13-2026IMPACT COUNCIL

4 myths about AI in hiring, debunked

The conversation around AI in hiring is full of noise. Here’s what the data actually tells us.

[Photo: Getty Images]

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A few years ago, I started noticing a pattern. Every time a major publication or LinkedIn thread took on AI in hiring, the framing was almost always the same: hype on one side, existential alarm on the other.

The talent leaders I actually talk to have more nuanced opinions than that, but those narratives still shape the conversation in ways that hold organizations back from building the hiring processes their people and candidates actually deserve.

After spending the last decade building AI-powered hiring tools and working alongside the talent teams implementing them, I’ve had a front-row seat to the gap between what people assume about AI in hiring and what actually happens when it’s deployed well.

Here are four of the most persistent myths, and why it’s time to let them go.

Myth #1: AI hiring tools are inherently more biased than human recruiters.

This is the myth I encounter most often, and I understand why it exists. Lawsuits like Mobley v. Workday get headlines. But here’s the uncomfortable truth nobody wants to say out loud: The biggest source of bias in hiring is still humans.

The same research that fuels concerns about algorithmic bias also shows that AI is up to 39% fairer for female........

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