Is AI a Competency? What Talent Leaders Need to Decide Before Their Performance Systems Decide for Them

There's a question I've been sitting with for a while, and it keeps resurfacing in my work: Is AI a competency?

Not a tool. Not a trend. But a genuine, assessable competency. Something we can observe, develop deliberately, and tangibly reward through performance systems. I don't think most organizations have answered this question. And this may be the most important thing that HR isn't talking about right now. 

Performance Management: What Are You Actually Measuring?

Performance systems were built to evaluate output, behavior, and the competencies that drive both. AI doesn't break that model. But it forces a hard question: do our frameworks still reflect the work that actually matters?

If your people are using AI to produce better work—and your performance system has no language for it—you're leaving meaningful contribution unmeasured. And if you bake AI usage into performance criteria without careful design, you risk penalizing employees who lack access or training. And you may also end up rewarding AI use itself, regardless of the quality of someone’s thinking. That's a design problem. And HR owns it.

In the organizations I’ve seen getting this right, the question isn’t “is this person using AI?” Instead, it’s “is this person exercising better judgment?” or “…thinking critically enough to know when to trust the tool and when not to?” That distinction matters—for fairness, for legal defensibility, and for whether your system is truly measuring what your culture says it values.

Competency Architecture: Time for an Honest Audit

Most competency frameworks were built before AI was part of how knowledge work gets done. They're not wrong, but they’re likely incomplete.

What does excellent performance look like in your organization today? For some roles, it means critically evaluating AI outputs. For others, it means applying AI with ethical guardrails: maintaining human accountability in decisions AI informs but shouldn't own. Those are real, distinct capabilities. Most competency models still don't describe them.

And here's the tension I encourage leaders to sit with: should AI literacy be a universal expectation, or a role-specific one? There's a case for both. The answer depends on your business, your workforce, and your values. But not deciding is a decision, and usually not a good one. 

Career Pathing: The Opportunity Most Organizations Are Missing

AI can make career development less linear and more honest. It can surface capabilities that traditional succession planning misses, including employees whose potential never show up through conventional advancement indicators. If you care about equity in your internal talent pipeline, that matters.

But the ethical obligation is real: AI career frameworks trained on historical data will replicate the same patterns of who got developed before, and who quietly got overlooked. The organizations doing this well treat career pathing as a living system, one that needs ongoing examination for disparate impact.

The goal isn't to take human judgment out of career conversations. It's to make those conversations less dependent on who happens to have the right advocate in the room or funds in their budget. This is categorically worth pursuing. But it requires honesty about what data you're feeding in and accountability for what comes out.

The Governance Question No One Wants to Own

All these interrelated talent strategies, performance design, competency architecture, and career pathing, require someone to own a clear answer to one question: How does AI fit into our people systems, and what values guide that?

This isn’t solely an IT question. And it’s not purely legal, though legal absolutely matters. It's an HR leadership question. And in too many organizations, it's nobody's job.

The organizations I’ve worked with that are building real advantage here are those leading with values, transparency, equity, accountability, and treating governance as a reflection of what kind of employer they want to be.

That takes HR leaders willing to slow down, ask uncomfortable questions, and resist the pressure to move fast at the expense of moving right—which we know isn’t easy. 

If your organization is working through these questions and auditing competency frameworks, redesigning performance architecture, or building governance infrastructure for responsible AI integration, OneDigital’s HR Consulting team would welcome that conversation. It's exactly the kind of strategic HR work we do every day.