Strategic Public Relations in the Age of AI: Redefining Stakeholder Engagement through Predictive Analytics

Tresna Wiwitan, Tri Basuki Kurniawan and Deshinta Arrova Dewi

Studies in Media and Communication, 2026, vol. 14, issue 2, 449-464

Abstract: Public Relations has evolved after the introduction of Artificial Intelligence (AI) and the incorporation of computer-aided audience behavior analysis and personalized mass communication (AI, n.d.). Relations are being transformed. However, the strategic and ethical outreach, analytics, and engagement model remains an underdeveloped area of study (Van & Vaccaro, 2021). This study aims to understand the value and relevance AI communication technologies add, and the ethical communication value. This includes soft limits of automated decision-making. This study mixed quantitative analysis of 1,200 communication AI campaigns, and qualitative analysis of 25 communication professionals in corporate, governmental, nonprofit, and digital PR. The data included original texts, AI-crafted versions, and predicted vs. real audience engagement metrics. Thematic analysis and statistical performance tests were conducted, and were also aided by a human-in-the-loop validation of contextual and ethical precision. The findings of the study showed personalized AI campaigns outperformed all other forms of communication, with a 24-31% increase in engagement, a record high 28% increase in performance improvement, and overall, 62% of campaigns reported higher engagement after personalization. Sentiment analysis was able to track down threats and operationalize resource intervention in a study where the AI mapping of risk was about 72% accurate, allowing for dampening of the given threats by about 18% of participation. However, relative to the more nuanced and sensitive areas of study, the AI analysis accuracy drops to about 54% to 61%, and it is clear that the AI does not capture a complex human context. Predictive data does have the potential to sharpen communication, especially when predictive data is aligned with a humanistic, ethically grounded center. Highlighted from the data is the coupling of the predictive capability of AI and human intervention. The benefits of AI adaptive pull convergence, greater amending, and re-scripting of the engagement relative to the tone, ethnocentric override, ethical permissibility, and engagement performance. The research aligns with the AI-Human synergy model, suggesting that although AI enhances human design, it will ultimately be humans who will remain at the center of the paradigm to construct and weave genuine relationships from a deep and trusted interlace of human connection.

Date: 2026
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