Torn between practicality and fear: how strategic communication professionals are adopting artificial intelligence

Patrícia Dias, Priscila Krolow, José Gabriel Andrade

Abstract


Artificial Intelligence (AI) is expanding across various contexts and organizations and becoming ingrained in daily practices professionals in strategic communication. This study examines the adoption of AI in strategic communication, mapping how and why professionals integrate AI into their workflows. Specifically, it identifies key AI tools, their applications, and the opportunities and risks their adoption entail. This exploratory study employs a qualitative approach, based on structured interviews to a purposive sample of 16 strategic communication professionals, defined as “professionals working in communication departments or agencies as primary agents of communication” (Heide et al., 2018, p. 1), including communication Directors and Managers. A thematic analysis was applied to the data using MAXQDA software. Our findings reveal widespread AI adoption, with ChatGPT emerging as the most used platform. AI tools are applied in various tasks, including social media content creation, data analysis, process optimization, and workflow facilitation. The main advantages identified are enhanced efficiency, resource optimization, and speed, while challenges revolve around potential displacement and data privacy concerns. Looking ahead, professionals anticipate that AI will increasingly streamline repetitive tasks, allowing them to focus on critical thinking and creative work. This study contributes to understanding AI’s evolving role in strategic communication and highlights key implications for future professional practices.

Keywords: Artificial Intelligence, AI, Communication, Strategic Communication, Communication Professionals, Data privacy, Ethical considerations

Acknowledgments: The authors thank CECC - Universidade Católica Portuguesa and ICS - Universidade do Minho for the support provided to our work.

DOI: https://doi.org/10.54663/2182-9306.2025.SpecialIssueMBP.6-27


Keywords


Artificial Intelligence; AI; Communication; Strategic Communication; Communication Professionals

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References


Agarwal, S., Agarwal, B., & Gupta, R. (2022). Chatbots and virtual assistants: a bibliometric analysis. Library Hi Tech, 40(4), 1013-1030. https://doi.org/10.1016/j.jbusres.2020.08.024

Borenstein, J., & Howard, A. (2021). Emerging challenges in AI and the need for AI ethics education. AI and Ethics, 1, 61-65. https://doi.org/10.1007/s43681-020-00002-7

Chu-Ke, C. & Dong, Y. (2024). Misinformation and Literacies in the Era of Generative Artificial Intelligence: A Brief Overview and a Call for Future Research. Emerging Media 2(1). https://doi.org/10.1177/2752354324124028

Creswell, J. & Poth, C. (2017). Qualitative Inquiry and Research Design: Choosing among five approaches. Sage Publications.

Du, S., & Xie, C. (2021). Paradoxes of artificial intelligence in consumer markets: Ethical challenges and opportunities. Journal of Business Research, 129, 961-974.

Du, D., Zhang, Y., & Ge, J. (2023). Effect of AI Generated Content Advertising on Consumer Engagement. In International Conference on Human-Computer Interaction (pp. 121-129). Springer.

Galdas, P. (2017). Revisiting Bias in Qualitative Research: Reflections on Its Relationship with Funding and Impact. International Journal of Qualitative Methods 16(1). https://doi.org/10.1177/1609406917748

Galloway, C., & Swiatek, L. (2018). Public relations and artificial intelligence: It’s not (just) about robots. Public relations review, 44(5), 734-740. https://doi.org/10.1016/j.pubrev.2018.10.008

Gupta, A., Hathwar, D., & Vijayakumar, A. (2020). Introduction to AI chatbots. International Journal of Engineering Research and Technology, 9(7), 255-258.

Haenlein, M., & Kaplan, A. (2019). A brief history of artificial intelligence: On the past, present, and future of artificial intelligence. California Management Review, 61(4), 5–14. https://doi.org/10.1177/0008125619864925

Heide, M., von Platen, S., Simonsson, C. & Falkheimer, J. (2018). Expanding the Scope of Strategic Communication: Towards a Holistic Understanding of Organizational Complexity. International Journal of Strategic Communication 12(4), 452-468. https://doi.org/10.1080/1553118X.2018.1456434

Holmberg, N., & Mehrabov, I. (2023). Can Generative AI Replace Human Communication Professionals? Lund University [Master Thesis].

Al Khaldy, M. A., Al-Obaydi, B. A. A., & Al Shari, A. J. (2023). The impact of predictive analytics and AI on digital marketing strategy and ROI. International Journal of Marketing Studies, 15(1), 45-60. https://doi.org/10.5539/ijms.v15n1p45

King, N., Horrocks, C. & Brooks, J. (2019). Interviews in Qualitative Research. Sage Publications.

Krakowski, S., Luger, J., & Raisch, S. (2023). Artificial intelligence and the changing sources of competitive advantage. Strategic Management Journal, 44(6), 1425-1452. https://doi.org/10.1002/smj.3387

Kuner, C., Cate, F. H., Lynskey, O., Millard, C., Ni Loideain, N., & Svantesson, D. J. B. (2018). Expanding the artificial intelligence-data protection debate. International Data Privacy Law, 8(4), 289-292. https://doi.org/10.1093/idpl/ipy024

Li, K., Lau, B. P. L., Yuan, X., Ni, W., Guizani, M., & Yuen, C. (2023). Toward ubiquitous semantic Metaverse: Challenges, approaches, and opportunities. IEEE Internet of Things Journal, 10(24), 21855–21872. https://doi.org/10.1109/JIOT.2023.3302159

Mijwil, M. M., & Abttan, R. A. (2021). Artificial intelligence: a survey on evolution and future trends. Asian Journal of Applied Sciences, 9(2), 87-93.

Nothhaft, H., Werder, K. P., Verčič, D., & Zerfass, A. (2020). Strategic communication: Reflections on an elusive concept. In Future directions of strategic communication (pp. 24-38). Routledge.

Osei-Mensah, B., Asiamah, E. O., & Sackey, R. (2023). Strategic Communication and Artificial Intelligence: Reviewing Emerging Innovations and Future Directions. Archives of Business Research, 11(1). https://doi.org/10.14738/abr.111.13616

Prasad Agrawal, K. (2023). Towards adoption of Generative AI in organizational settings. Journal of Computer Information Systems, 1-16. https://doi.org/10.1080/08874417.2023.2240744

Ng, D. T. K., Leung, J. K. L., Chu, K. W. S., & Qiao, M. S. (2021). AI literacy: Definition, teaching, evaluation and ethical issues. Proceedings of the Association for Information Science and Technology, 58(1), 504-509. https://doi.org/10.1002/pra2.487

Radanliev, P. (2025). AI Ethics: Integrating Transparency, Fairness, and Privacy in AI Development. Applied Artificial Intelligence, 39(1). https://doi.org/10.1080/08839514.2025.2463722

Ray, A. (2012). The Methodology of Sampling and Purposive Sampling. Grin Verlag.

Stasberger, G. D. (2023). Digital Media: Shaping Communication, Culture, and Society in the Digital Age. Global Media Journal, 21(64), 1-3. https://doi.org/10.36648/1550-7521.21.64.388

Stebbins, R.L. (2001). Exploratory Research in the Social Sciences: Qualitative Research Methods. Sage Publications.

Su, Z., Togay, G., & Côté, A. M. (2021). Artificial intelligence: a destructive and yet creative force in the skilled labour market. Human Resource Development International, 24(3), 341-352. https://doi.org/10.1080/13678868.2020.1818513

Taherdoost, H., & Madanchian, M. (2023). Artificial intelligence and sentiment analysis: A review in competitive research. Computers, 12(2), 37. https://doi.org/10.3390/computers12020037

Vanover, C., Mihas, P. & Saldaña, J. (2021). Analysing and Interpreting Qualitative Research: After the Interview. Sage Publications.

Verma, S., Sharma, R., Deb, S., & Maitra, D. (2021). Artificial intelligence in marketing: Systematic review and future research direction. International Journal of Information Management Data Insights, 1(1), 100002. https://doi.org/10.1016/j.jjimei.2020.100002

Weller, T., & Lock, I. (2024). Automated Communication’s Impact on Strategic Communication: Implications from a Systematic Review. International Journal of Strategic Communication, 19(1), 13–34. https://doi.org/10.1080/1553118X.2024.237

Woo, W. L. (2020). Future trends in I&M: Human-machine co-creation in the rise of AI. IEEE Instrumentation & Measurement Magazine, 23(2), 71-73. https://doi.org/10.1109/MIM.2020.9062691


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Copyright (c) 2025 Patrícia Dias, Priscila Krolow, Priscila Krolow, José Gabriel Andrade, José Gabriel Andrade

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International Journal of Marketing, Communication and New Media

ISSN: 2182-9306

DOI: 10.54663/2182-9306

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REBIB: Q2


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