Judgment: The Competitive Advantage AI Can't Replace

The more we automate hiring, the more valuable human judgment becomes.

It sounds counterintuitive, but that's exactly what we're beginning to see.

This week, I read Jessica Grose's opinion piece in The New York Times, which describes today's hiring process as an escalating "Spy vs. Spy" showdown. Employers are investing in artificial intelligence to identify the best candidates, while applicants are using many of the same technologies to improve their chances of getting noticed. As each side adapts, the other responds with new tools, creating an endless cycle of detection and circumvention.

Her article resonated with me because it captures something many professionals have been experiencing firsthand. Yet as I read it, I couldn't help but think we're asking the wrong question. The real issue isn't whether AI belongs in hiring. It's whether we've mistaken automation for better decision-making.

The article highlights a troubling reality. Despite increasingly sophisticated technology, employers continue to struggle to identify qualified candidates. Job seekers describe the process as dehumanizing, while organizations invest in new systems that promise efficiency but don't necessarily deliver better hiring decisions. Companies are collecting more data than ever before, yet trust in the process continues to decline.

Technology has made some parts of hiring faster. It hasn't necessarily made hiring better.

Earlier this year, I had the opportunity to discuss this very topic with BambooHR. During that conversation, I suggested that employers may be asking the wrong question. Rather than focusing on whether a candidate used AI, perhaps we should be asking how they used it.

The reality is that AI is already part of today's workplace. Employees use it to research, analyze information, organize ideas, and improve productivity. The question is no longer whether someone has access to AI. Most people do. What organizations should be evaluating is something far more valuable: How does someone think?

Can they exercise sound judgment? Can they validate information before acting on it? Do they recognize when AI is helpful and when experience, ethics, or human insight should take precedence?

Judgment isn't simply making decisions. It's knowing when to trust the data and when to question it. It's recognizing nuance, anticipating consequences, communicating with clarity, and making thoughtful decisions when there isn't a perfect answer. Those are the capabilities that technology cannot replace.

Having spent my career helping organizations communicate through crises, transformation, and uncertainty, I've learned that technology rarely changes human nature. More often, it reveals it. AI hasn't eliminated the need for trust, credibility, and sound judgment. If anything, it has made those qualities even more valuable.

That perspective has also become one of the central themes of my book, Redefined. While much of the conversation around AI focuses on efficiency and automation, I believe the larger story is about the changing nature of human value.

For generations, our professional value was measured by what we knew. More recently, it has been measured by what we can produce. As AI becomes part of everyday work, I believe we're entering a new era where our greatest value will be measured by how we think.

Knowledge is increasingly accessible.

Productivity is increasingly augmented.

Judgment is becoming indispensable.

I've written before that mastery must come before automation. Technology can accelerate expertise, but it cannot create it. Experience still matters. Curiosity still matters. Ethics still matter. The professionals who will thrive won't simply know how to use AI. They'll know enough about their craft to recognize when AI is wrong, incomplete, or missing important context.

While hiring may be where this tension is most visible today, every profession is beginning to wrestle with the same questions. How do we develop expertise? How do we evaluate potential? How do we preserve trust in a world where technology can produce impressive results but cannot assume responsibility for them?

These aren't just hiring questions. They're leadership questions. They're education questions. They're communications questions. They're questions every profession will need to answer in the years ahead.

The future of work won't be determined by who has access to the most advanced technology. That advantage will continue to shrink. The real differentiator will be the people who combine technology with critical thinking, authentic expertise, ethical judgment, and the ability to earn and keep others' trust.

Perhaps that's the lesson emerging from today's hiring challenges. AI didn't create a trust problem. It exposed one that was already there.

Maybe the better question isn't whether someone used AI.

Maybe it's whether they possess the judgment to know when not to.