For many PR communications workflows, artificial intelligence is becoming the norm. PR professionals are using it to brainstorm campaign ideas, draft press releases, summarize research, develop media lists, and accelerate content production—and the productivity gains are difficult to ignore. One industry survey found that nearly 78% of PR professionals already use AI for ideation, more than 72% use it for content creation, and three-quarters of PR firms reported at least a 10% increase in revenue or profitability after incorporating AI into their work. Those numbers suggest that AI has already moved beyond experimentation and into everyday practice.
The conversation, however, often focuses on the technology rather than the communication skills required to use it well. AI can only respond to the information it receives. That means every useful output begins with a communicator who understands the objective, the audience, the context, and the desired outcome. In other words, prompting requires many of the same skills PR professionals have relied on for years.
Good Prompts Start with Good Thinking
Experienced communicators rarely begin writing without first asking a series of questions. Who is the audience? What action should they take? What information matters most? What tone is appropriate? Prompting follows the same discipline. The quality of the response depends largely on the quality of the direction.
Clear objectives, specific instructions, relevant context, and concrete examples consistently produce stronger results than broad requests. Asking AI to “write a press release” often produces generic copy. Asking it to write a press release announcing a partnership, for a defined audience, using a specified tone, while emphasizing particular business outcomes produces something far more useful. The exercise resembles building a creative brief as much as writing a prompt.
AI Changes the Workflow, Not the Responsibility
The emergence of AI is also changing where communications professionals create value. Microsoft’s 2026 Work Trend Index found that 86% of AI users treat AI-generated content as a starting point rather than a finished product because they remain responsible for the thinking behind the work. Respondents also identified quality control (50%) and critical thinking (46%) as the human skills becoming more important as AI takes on more tasks.
Those findings reflect a broader shift in how communications work is organized. AI can generate a first draft in seconds, but it cannot determine whether the messaging aligns with business strategy, whether a statistic is accurate, whether a quote sounds authentic, or whether a story will resonate with journalists. Those decisions continue to require professional judgment, industry knowledge, and editorial experience. Microsoft’s report frames this evolution well by suggesting that professionals should think less about individual tasks and more about the outcomes they are responsible for driving.
The Human Element Becomes More Intentional
This shift also places greater importance on review. AI-generated content should be fact-checked, edited for accuracy, refined for tone, and adapted to reflect the organization’s perspective before it reaches an audience. That process requires time, even if drafting becomes faster.
As organizations use AI to flatten management structures and expand workloads, many leaders have less time available for coaching and mentorship. For communications teams, that makes deliberate knowledge sharing even more important. Learning how to communicate with AI effectively should not replace learning how to communicate with colleagues, clients, journalists, or audiences. The strongest teams will continue developing both skills in parallel.
AI has changed many aspects of communications work, but it has not changed the importance of clear thinking, sound judgment, or effective communication. Those abilities shape every prompt, every edit, and every final decision. As AI becomes more capable, those human contributions become easier to overlook, but they remain central to producing work that is accurate, credible, and genuinely useful.
