There’s a version of AI readiness that looks like a shopping list. New tools. New platforms. New stack. And there’s a version that actually works.
Kyle Lagunas joined Nicole on Hiring Happy Hour to talk about what AI readiness actually requires — and why most teams are further behind than they think, regardless of what they’ve purchased.
The three dimensions that actually matter.
Kyle’s framework for AI momentum isn’t about tools. It’s about posture, capability, and investment. Those three dimensions apply whether you’re a solo HR manager or running a 3,000-person org. And most teams, when they’re honest about it, have gaps in at least two of them.
Posture is how your organization thinks about AI — whether leadership sees it as a threat to manage or an opportunity to build toward. Capability is what your team can actually do with AI today, not in theory. Investment is whether the foundational work is getting resourced: data hygiene, integrations, literacy.
Most of what determines your AI readiness, it turns out, isn’t the software you’ve bought. It’s the unglamorous work happening — or not happening — underneath it.
Gut instincts need receipts.
One of the sharpest points in the conversation: strong instincts without data don’t land the way you think they do. In a room full of skeptical executives, a well-calibrated gut read that isn’t grounded in real evidence can come across as brash rather than strategic. The combination — intuition shaped by experience, backed by data — is what builds a trusted advisor reputation over time.
This applies directly to how TA leaders navigate AI conversations internally. You might know the right answer. But knowing it and being able to defend it are two different things.
Solutions people aren’t yes people.
Kyle put it plainly: “We are solutions people, and solutions people are not just yes people.” That framing matters. The best TA leaders understand the constraints — budget, risk, capacity, skepticism from the business — and they find a path that works within them. Pushing back is part of the job. So is knowing how.
That means owning the KPIs you can actually control. Measuring interview-quality talent from inbound, for example, gives sourcing and attraction teams a metric that’s defensible and meaningful — rather than chasing numbers that don’t reflect what the function is actually doing well.
Don’t wait for the mandate.
The other thing worth sitting with: most of the prep work for AI readiness is within reach right now, regardless of company size or where leadership stands on it. Cleaning your data. Building your team’s literacy. Getting clear on what problems you’re actually trying to solve. None of that requires an executive green light.
The teams that win won’t be the ones who bought the most software. They’ll be the ones who stayed curious, stayed connected, and didn’t confuse tool adoption with strategy.