Building Teams That Pair Technology With Judgment

The job description for a PR professional has evolved past pitching and press releases. Beyond the traditional craft, today’s hiring teams require digital literacy and a solid understanding of AI. 

According to a September 2025 Udacity survey of 2,000 professionals across industries, 90% of workers have used AI tools in their work, so the real question for hiring managers is whether the candidates they are interviewing know when not to use it. 

From the hiring side of the table, the professional we’re looking for pairs technical fluency with sound judgment and can move between the two without losing either. That combination is harder to find than it sounds, and it’s reshaping how PR hiring teams recruit, evaluate and develop talent. 

Because AI usage has outpaced policy, the interview is a screening tool for ethics and discernment as much as for skills. According to the Global Alliance for Public Relations and Communication Management’s 2026 report, 95.9% of surveyed organizations now permit AI use in communication, yet only 47% have a responsible AI framework. 

In the Udacity survey, 42% of workers reported a lack of clear AI-use policies. In practice, many teams may be relying on individual judgment to fill the gap.

That is why the questions we ask in interviews matter. Ask candidates to walk through a recent project: where AI helped, where they overrode it, and how they checked the output. 

More importantly, ask what they would never delegate to AI, and why. Strong candidates answer specifically and without defensiveness. A candidate who uses AI for first-draft research but always verifies claims against primary sources, and who would never feed the model sensitive client information, is showing exactly the discernment and judgment you want. 

A change in titles

The industry shift is also showing up in job titles, with one recent report pointing to roles like AI ethics officer, AI solutions architect, and AI trainer appearing on communications teams. 

Whether your team is ready to hire for them or not, this is a signal of where responsibilities are heading for PR practitioners. This is a good moment for hiring managers and talent acquisition partners to audit their postings so they reflect these skills, not only degrees and years of experience.

It’s tempting to assume we can hire our way to a team like this, but the market doesn’t have enough ready-made candidates. Growing them matters just as much. That might mean hiring for curiosity and sound fundamentals, then investing in the technical fluency, rather than holding out for a candidate who already checks every box. 

A restructured onboarding process

As AI takes on routine tasks, entry-level hires will need training and mentorship to understand the context of their work alongside an AI agent. More structured onboarding, clearer feedback loops, and mentors who can explain the “why” behind the work will be critical to success. 

An apprenticeship-style approach, pairing newer professionals with experienced mentors, can accelerate learning while protecting the quality of client work.

Retention belongs in this conversation too. When AI absorbs routine tasks, the remaining work should be the creative, judgment-driven work that keeps people engaged. Teams asking people to learn new tools quickly also need to make it safe to say, “I don’t know how this works yet.” If you want people to build new skills, you have to make it safe to be a beginner.

The future of work in PR does not have to be a contest between people and machines. Getting there starts with being clear about what you value, then hiring, training, and retaining for it. 

Build development into the role from day one, and be honest about your team’s policies, expectations and growth paths. The strongest teams I see are investing in people who can think critically alongside the technology in a workplace where that kind of thinking can thrive.