HR investment in AI is booming, but most companies aren’t seeing meaningful results

The news

HR Executive reports that investment in AI for HR is accelerating, but most organizations aren’t seeing meaningful results. The culprit, according to the research: companies are evaluating AI on a process-by-process basis rather than taking a systems-level view. Read the full article here.

My take

This finding doesn’t surprise me, but it should concern a lot of people in HR Tech — both buyers and vendors.

The process-by-process evaluation problem is a symptom, not the root cause. When organizations assess AI by asking “did this make our onboarding checklist faster?” or “did this reduce time-to-screen by 12%?”, they’re treating HR AI like a productivity tool. And when you treat it like a productivity tool, you get productivity tool results — incremental, siloed, and impossible to connect to anything the CFO cares about.

I’ve talked with clients who have genuinely good AI-enabled products in their stack. Products that could, in theory, surface workforce risk, predict attrition in high-impact roles, or model the downstream effects of a reorganization. But those capabilities are sitting dormant because no one upstream asked the business question that would require them.

That’s an HR leadership failure as much as it’s a technology failure.

When HR doesn’t have a strategic mandate — when it isn’t walking into budget conversations with a workforce thesis tied to business outcomes — AI investments get delegated to whoever owns the vendor relationship. That person is optimizing for process improvement, because that’s what they’re measured on. You get adoption metrics instead of business impact. You get a really clean dashboard nobody acts on.

The vendors aren’t blameless here either. Too many AI pitches in HR Tech lead with feature demonstrations and ROI calculators built around time savings. If your primary value narrative is “hours saved per recruiter per week,” don’t be shocked when your buyers measure you exactly that way — and find the results underwhelming.

The so-what

If you’re an HR leader evaluating AI right now, the question isn’t “which process should we automate first?” It’s “what business outcome are we accountable for, and which AI capability gets us closer to it?” That reframe changes everything about how you buy, implement, and measure.

I’d tell my vendor clients the same thing: if your positioning leads with process efficiency, you’re training buyers to evaluate you on the wrong metric — and setting yourself up to be the tool that “didn’t deliver results.” Your AI story needs to connect to a strategic outcome HR is actually being held accountable for, or you’ll keep winning deals and losing renewals.

The AI investment gap in HR isn’t a technology problem. It’s a mandate problem — and no amount of product sophistication closes it.