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AI is already part of many public-relations workflows, but widespread tool use is not the same as transforming how PR gets done. Cision’s 2026 survey announcement found that 91% of nearly 600 PR professionals surveyed in the United States and United Kingdom used AI. The same announcement reports persistent constraints, including limited resources, team structures and slow approvals. The more useful question is whether organizations are redesigning work around AI—or simply adding it to processes that still make good communications difficult.
How are PR teams using AI?
Cision’s Inside PR 2026 announcement, published January 6, 2026, says 91% of nearly 600 PR professionals surveyed in the U.S. and UK use AI. The reported tasks range from drafting to analysis:
- Idea generation: 73% reported using AI for this.
- Writing and content refinement: 68% reported using AI for this.
- AI-driven media monitoring: 40% reported using AI for this.
- Reporting: Nearly a third reported using AI-powered reporting tools.
These figures describe respondents to a vendor’s industry survey, not every PR practitioner worldwide. They show that AI use has become common among this group; they do not show how much time it saves, whether it improves communications outcomes, or whether organizations have changed their operating models.
Why does tool adoption not automatically transform PR?
Using a generative AI tool for a draft is an individual task. Changing how an organization plans, reviews, approves and evaluates communications is a broader operational change. Cision’s 2026 survey announcement reports that 60% of respondents named the rapidly shifting media landscape as a major challenge, while 58% named resource pressure. On agility, 63% identified team size or organizational design as a barrier and 53% cited slow approvals.
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Those results do not prove that organizational constraints cause poor AI outcomes. They do point to questions a team should investigate: Does AI fit into an agreed workflow? Who checks claims and approves the output? Are staff trained to use it? Is there a clear way to measure whether it helps achieve communications goals? A new tool cannot by itself settle decision rights, add capacity or remove approval bottlenecks.
Perceptions of agility also differed by role: one in three executives described their organization as extremely agile, compared with 14% of employees. This is a difference in survey respondents’ perceptions, not a direct measurement of AI project performance. It is a reason to compare leadership’s account of how work gets done with employees’ experience of producing and approving it.
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What does “doing it badly” mean—and what is actually established?
The title’s provocation is best read as a warning about risks, not a measured verdict on the whole profession. Available survey and professional-guidance findings identify reasons to scrutinize AI-assisted communications; they do not establish a universal failure rate or prove that PR as an industry is getting AI wrong.
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Journalists’ responses offer a concrete test of quality. Cision’s 2025 State of the Media Report announcement, published May 7, 2025, says 72% of more than 3,000 journalists surveyed across 19 global markets worried about factual errors in AI-generated PR content. The announcement also reports that 86% would immediately reject a pitch that did not align with their beat or audience. The figures describe journalists’ reported concerns and intentions, not observed rejection rates for all pitches.
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The implication is practical: AI-generated material that is inaccurate or poorly targeted can undermine the purpose of the work. A polished draft is not evidence that its claims are sound or that it belongs in a particular journalist’s inbox.
The International Public Relations Association (IPRA) and University of Ljubljana’s Gold Paper No. 19 on ethical standards and guidelines for AI in public relations discusses concerns including generic output, misinformation without careful review, weakened critical thinking, overdependence, privacy, cost, context and creativity. Its Delphi study involved 79 senior practitioners in May–July 2024; it is professional guidance informed by those participants, not a representative poll of all PR professionals or a binding regulatory rule. The paper’s proposed working methods say practitioners must maintain control over how AI is integrated into the discipline.
Where does human judgment still matter?
Automation can assist with production and analysis, but it does not remove the need to decide what is true, relevant and appropriate to communicate. IPRA emphasizes that relationship management is central to public relations and will not be fully replaced by technology. Cision’s 2026 announcement reports that 59% named storytelling as a top skill in demand for that year. These findings underscore the continuing importance of judgment, context and narrative craft alongside technical capability.
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Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How should a PR team assess AI use?
Judge a use case by the quality of its contribution to communications work—not by the volume of AI-generated output. Before introducing a tool or expanding its use, consider these questions:
- Task and outcome: What specific work should AI support, and what communications outcome should improve?
- Accuracy and traceability: Can reviewers check factual claims against reliable source material?
- Audience fit: Does the result reflect the audience and, for media outreach, the journalist’s beat?
- Human review and accountability: Who verifies the result and owns the final decision?
- Privacy and data handling: What information may staff enter, and how is it handled?
- Workflow fit: Does the tool work with existing approvals and responsibilities, or add another bottleneck?
- Training: Do practitioners understand the tool’s limits as well as its uses?
- Meaningful measurement: Will the team assess useful communications results rather than simply count drafts or tool activity?
These checks synthesize concerns raised by journalists, practitioners and Cision’s survey findings. They help separate a useful, reviewable application from a change that merely adds AI to an unchanged process.
What the available evidence can—and cannot—tell us
The Cision surveys provide timely snapshots, but Cision operates in the communications and media-intelligence market, so its reported results should be attributed to the company. The 2026 figures cited here cover nearly 600 PR professionals in the U.S. and UK; the 2025 journalist findings cover more than 3,000 journalists across 19 global markets. IPRA’s guidance draws in part on a Delphi study of 79 senior practitioners. These sources illuminate adoption, reported concerns and professional perspectives, but they do not provide a controlled comparison proving that AI improves or worsens PR outcomes.
A separate Cision and PRWeek 2025 Comms Report announcement, published February 25, 2025, describes a survey of more than 300 professionals across the U.S. and Canada. Its report landing page outlines the survey’s scope and topics. Those materials provide additional survey context, but they do not establish a universal measure of poor AI implementation.
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