The conversation around artificial intelligence has moved from curiosity to necessity across all industries, and the communications field is no different. Whether in agencies, corporate communications departments or nonprofit organizations, fluency in AI tools is becoming as fundamental as knowing how to write a press release used to be. Those who can harness AI to accelerate research, generate insights, and sharpen strategy will shape the next generation of communications work. As AI becomes embedded in nearly every stage of the work, firms must be equally intentional about how it shows up in employee development from entry-level roles learning to use these tools responsibly to senior leaders modeling when to trust, question, or override AI outputs.
Amid this transformation, a quieter concern is emerging, one that every leader in our field should pay attention to. As newer entrants to the workforce arrive more “AI native” than ever, many lack the depth of training in the foundational creative skills that defined earlier generations of communicators: storytelling, writing, editing, and the nuanced judgment that distinguishes good messaging from great messaging, and strategic, impactful communications from mere PR fluff. A paper published earlier this year by Microsoft Research and Carnegie Mellon found that the more confident someone was in AI’s ability, the less likely they reported engaging in critical thinking.
The result is a widening skills gap between those who can wield AI but may not yet understand how to apply it to support strategic and creative thought and outputs, and those who can craft compelling narratives but are falling behind on the tools reshaping how we work. That gap does not close on its own. It requires clear expectations at each career stage about what “good” looks like in both AI usage and core PR/communications skills and outputs, and how the two should reinforce rather than replace one another.
The Case for Dual Development
For communications firms, the answer isn’t to prioritize one skill set over the other, but to intentionally cultivate both. Mastery of AI and mastery of communication craft are not competing priorities. They are complementary strengths, each realizing its full potential only when developed alongside the other.
AI can enhance productivity, idea generation, and even the mechanics of writing, but it cannot replace the strategic intuition that comes from years of practicing one’s craft or the ability to critically review AI content and pass judgement on the robots’ output. Similarly, strong writing skills without AI literacy risk inefficiency, missed opportunities, and slower client delivery in an industry that is moving faster every day.
Firms that recognize this dual imperative, developing both AI capability and creative craftsmanship, will build the most resilient teams and deliver smarter, more meaningful client work. Those that don’t risk fragmenting their workforce, alienating talent, and compromising quality in ways clients will notice.
The Risks of Imbalance
If firms focus exclusively on AI upskilling, younger professionals may grow dependent on generative tools before they’ve developed their own voice or ability to think critically about messaging. Their work may sound polished but lack originality or emotional resonance, the very qualities that drive trust and reputation and allow them to develop their own skills in critical thinking and judgement. Over time, that can erode a firm’s distinct point of view and weaken the quality of counsel provided to clients.
Conversely, if leaders dismiss AI as a passing trend and double down solely on traditional skills, their teams risk obsolescence. Projects that once took days can now be completed in hours with the right AI assist. Clients will expect efficiency and will gravitate toward firms that can deliver both speed and sophistication, or those that uplevel the value they bring to the agency-client partnership.
The real challenge, and opportunity, therefore, lies in ignoring either side of the equation.
How Firms Can Bridge the Gap
- Institutionalize AI Training. Don’t assume experimentation is enough. Create structured learning paths that teach employees not only how to use AI tools but when and why. Integrate training into onboarding, client workstreams, and professional development plans. At Reputation Partners, this means translating broad AI goals into sequenced “learning ladders” by level, with milestones that build from baseline AI skills to complex, client-specific problem solving, so employees know not just what to learn, but in what order and to what standard.
- Reinvest in the Fundamentals. Writing workshops, editing exercises, and storytelling practice should be as common as AI demos. Encourage mentorship between senior communicators, or those with a strong emphasis on writing and junior AI natives. Pairing AI-focused assignments with follow-up editing and debrief sessions helps employees see where the tools stop and their own judgment must take over, reinforcing that critical thinking and storytelling remain the differentiators.
- Reward Balanced Excellence. Redefine performance metrics to value both technical proficiency and creative acumen. Promote the people who can think critically, write persuasively, and use AI appropriately and effectively. We also look for curious experimenters. Those who pilot new AI approaches, share what they learn with peers, and are honest about both the upside and the limitations of the tool(s) in front of them.
- Create Guardrails. Build policies around transparency, accuracy, and confidentiality in AI use. Doing so reinforces that technology is a tool to enhance and support, not replace, human creativity and critical thought. These guardrails are living documents; as tools and use cases evolve, so should the policies, examples, and case studies we give teams so they can safely push the work forward without compromising ethics, privacy, or quality.
A Shared Responsibility
The obligation to balance these skills doesn’t rest solely with firms. Individual communicators must also take ownership of their evolution. Developing as both a “strategist” and a “technologist” will be the hallmark of future leaders in our field. Those who embrace both disciplines, thoughtfully invest in them, and foster them across their teams will build communications organizations positioned for long-term relevance and success. The most successful communicators treat AI and their core communications skills as complementary strengths, intentionally building both through stretch assignments, regular feedback, and protected learning time carved out of the day-to-day rush.
The RP Way
At Reputation Partners, we have made a conscious commitment to investing in our people and engaging them in their own professional development. About four years ago we were exploring how to enhance our professional development tools to better support our team, but also to give each individual a clearer pathway to advancement. After looking at various options between building or buying something, we settled on building our own system – RP University. Through a combination of vetted external resources and internally led knowledge sharing, we established a suite of professional development opportunities and trainings that combines both classroom and experiential learning, by level and expected career progression competencies. This is combined with a $2,000 per employee per year stipend that employees are expected to utilize to further their own development, and that managers are expected to help facilitate.
Earlier this quarter, we “launched” version 2.0 of this effort, now including both recommended and required foundational skills development for every level and a newly added AI track. This has been an intentional effort to put equal weight on using AI to become more efficient while simultaneously maintaining and enhancing the critical thinking, judgement and creativity that allow communications to breakthrough and provide direct business impact for our clients. Behind the scenes, we have mapped out role-based learning ladders that sequence foundational, intermediate, and advanced skills, including AI competencies, so team members can see how today’s courses connect to tomorrow’s opportunities. And we use RP University sessions as a forum for employees to share experiments, challenge one another’s approaches, and continuously refine how we apply AI in real client contexts.
This is an ongoing effort for us, one that we are still just rolling out and continuously experimenting with. What are we missing? What have you seen work in your organization?