PharmaLive
published a perspective on how AI impacts hiring at White healthcare agencies.
The opinion
piece is questionable on a few levels.
First, the
authors are HR executives. Sorry, but HR does not make hiring decisions at
White healthcare agencies—or any White advertising agencies or firms in Adland.
The viewpoints on the topic, therefore, lack credibility, authority, and
professional expertise.
Next, the article
feels like it was crafted via AI, which sorta makes sense given HR executives
are not writers, typically only capable of drafting descriptions of basic
benefits and simple policies. Using AI to write about AI, however, is lazy, shameful, and
hackneyed.
Of course,
the nearly 1000-word exposition on hiring makes no references to DEIBA+ considerations.
Finally, the
content is illustrated with an AI-generated image (depicted above) featuring a
hand with six fingers. That PharmaLive editors and designers approved the graphic
underscores a simple reality: pharmaceutical advertising sucks.
The AI-era
interview: What healthcare agencies are really hiring for
By Beth
Bogacz and Lexi Abbagnaro, AbelsonTaylor Group
AI has quickly
become part of the hiring process on both sides of the table. Candidates are
using it to write resumes, polish portfolios, rehearse and answer interview
questions, and generate writing samples. Agencies are simultaneously exploring
how AI can improve recruiting efficiency, support onboarding, and accelerate
workflows across departments.
But as AI
becomes more embedded in the hiring experience, it is also exposing something
important about healthcare marketing talent: The abilities agencies value most
are increasingly the skills AI and automation struggle to replicate.
That tension is
especially visible in medical advertising, where the work depends on a
combination of strategic thinking, scientific understanding, collaboration, and
communication. Candidates may arrive with increasingly refined materials, but
polished documents alone do not tell recruiters whether someone can navigate a
difficult client conversation, synthesize conflicting feedback, or contribute
meaningfully to a brand team operating under pressure.
When every
resume looks impressive
The interview
itself has become more revealing than ever. Over the last year, we have seen a
noticeable shift in how candidates present themselves during the application
process. AI tools now make it easy to create resumes and writing samples that
appear highly sophisticated, regardless of experience level. In many ways, that
is the new baseline. Candidates are encouraged to submit professional,
well-organized materials, and most people will use available technology to help
accomplish that.
The challenge
is determining where AI assistance ends and authentic capability begins. That
distinction usually becomes clearer in conversation. In interviews, candidates
have to think in real time. They have to explain how they approached a problem,
describe why a campaign worked or failed, and demonstrate how they collaborate
with others. Those moments reveal far more than a perfectly formatted resume
ever could.
The
interview as the new litmus test
We have also
encountered situations where candidates appeared to be actively relying on AI
during interviews themselves. Sometimes the signs are subtle: delayed
responses, eyes moving to another screen before answering the question,
polished answers that contrast with hesitant or less articulate opening
remarks. These inconsistencies in the interview rhythm can disrupt the flow of
conversation and make it difficult to assess how the candidate actually thinks.
That does not
mean candidates should avoid AI altogether. In fact, many are using it
productively, preparing for interviews through mock questions, role-playing
scenarios, or refining how they communicate their experience. The issue is not
whether candidates use AI. The issue is whether they can function independently
without the technology.
Why human
judgment still matters
Within
healthcare communication agencies specifically, that distinction matters
because so much of the work depends on judgment. Teams are constantly balancing
scientific accuracy, client expectations, regulatory considerations, and
audience needs. There is rarely one perfect answer. People have to navigate
ambiguity, make decisions with available information, and communicate clearly
across disciplines. Those are deeply human skills.
Emotional
intelligence remains one of the clearest differentiators in hiring
conversations today. So does curiosity. Candidates who ask thoughtful
questions, actively listen, and engage in genuine discussion tend to stand out
quickly. Creativity also continues to matter, particularly the ability to
challenge assumptions or generate unexpected ideas within highly regulated
environments.
AI can
accelerate execution. It can summarize information, organize thoughts, and
improve efficiency. But it still cannot replicate the instinct behind a strong
strategic insight or the interpersonal awareness required to build trust with
clients and colleagues.
New
expectations for emerging talent
There are
changing expectations for junior talent as well. Increasingly, entry-level
candidates are expected to arrive with at least baseline familiarity with AI
tools and an openness to experimenting with new technologies. In many cases,
early career professionals are introducing workflows or tools that more
established teams may not yet be using. What matters most is adaptability.
Healthcare
marketing has always evolved alongside changes in media, technology, and
consumer behavior, but the pace of change is different now. Candidates who
thrive tend to be the ones comfortable learning continuously, working across
functions, and wearing multiple hats when needed. That is especially true at
small and midsize agencies, where collaboration across departments is often
essential to how work gets done.
The rise of
‘power skills’
The industry is
also placing greater value on what many organizations now call “power skills”:
cross-functional thinking, communication, adaptability, and strategic
leadership. Those qualities consistently surface in recruiting conversations
across levels and disciplines. While leadership expectations naturally increase
with seniority, even junior employees are expected to collaborate across teams
and contribute beyond defined responsibilities.
At the same
time, hiring teams have become more intentional about how they assess
authenticity during interviews. Behavioral and situational questions have
become more and more important because they help reveal how candidates think,
process challenges, approach decisions, and communicate under pressure. It is
not the specific answer that matters most but it is how someone arrives there.
AI fluency
vs. AI dependence
So far, AI has
not fundamentally changed the structure of many hiring exercises within
healthcare agencies. Case studies, writing assignments and role-specific
exercises were already common practice long before AI became prevalent. What
has changed is the conversation surrounding them. In some cases, candidates may
even be encouraged to use AI tools as part of the exercise, depending on the
role. Familiarity with AI is becoming part of professional fluency. But fluency
is not the same as dependence.
The candidates
who stand out today are usually the ones who understand how to use AI as an
enhancement rather than a substitute. They know how to leverage technology to
improve efficiency while still bringing original thinking, strong
communication, and independent judgment to the table. That balance is becoming
one of the defining hiring questions for healthcare agencies.
The future
workforce will almost certainly be more AI-capable than the one before it. The
agencies that succeed will not be the ones trying to avoid that reality. They
will be the ones that learn how to identify talent capable of combining AI
technology with the human skills healthcare marketing still depends on most.