AI-Driven Advertising Activity: Perspectives from Peruvian Advertisers

Francisco Arbaiza
Jazmine Arias
Kelly Robledo-Dioses
1170

Abstract

This study explores the impact of Artificial Intelligence (AI) on the creative process within Peruvian advertising agencies. The research focuses on understanding how AI technologies influence the practices of professionals involved in creative production and the perception of AI’s role in enhancing or detracting from creativity in a market characterized by emerging digital transformation. Adopting a qualitative methodology grounded in the interpretive paradigm, the study placed particular emphasis on the insights and experiences of Creative Directors, who play a pivotal role in integrating AI into the creative process. In addition to these key professionals, the study also analyzed the perspectives of AI specialists, decision-makers in digital transformation, and AI consultants. Data was meticulously gathered through semi-structured in-depth interviews, ensuring a comprehensive understanding of how AI is reshaping creativity in advertising. The findings reveal that while AI offers significant potential to streamline and enhance creative processes, concerns about authenticity and the risk of diminishing human creativity persist. The study underscores the need for a balanced approach that integrates AI-driven efficiency with the preservation of original creative input, providing insights for future policy development and industry practices.

Keywords:
Artificial Intelligence, advertising creativity, ethical considerations, digital transformation, marketing automation

Authors

Francisco Arbaiza
Jazmine Arias
Kelly Robledo-Dioses

References

Abdelmissih, S. (2023). Artificial Intelligence (AI) and Human Communication and Cognition: Hope and Concerns. Biomed J Sci & Tech Res, 49(4). https://doi.org/10.26717/BJSTR.2023.49.007849

Agarwal, P., Swami, S. & Malhotra, S. K. (2024). Artificial intelligence adoption in the post COVID-19 new-normal and role of smart technologies in transforming business: A review. Journal of Science and Technology Policy Management, 15(3), 506-529. https://doi.org/10.1108/JSTPM-08-2021-0122

Camilleri, M. A. (2024). Artificial intelligence governance: Ethical considerations and implications for social responsibility. Expert Systems, 41(7), e13406. https://doi.org/10.1111/exsy.13406

Collier, P. M., Ewing, M. T. & Cooper, H. B. (2020). Balancing creativity and organizational performance in an advertising agency network: A case study. Journal of Marketing Communications, 27(8), 840-864. https://doi.org/10.1080/13527266.2020.1777580

Corrêa, N. K., Galvão, C., Santos, J. W., Del Pino, C., Pinto, E. P., Barbosa, C., Massmann, D., Mambrini, R., Galvão, L., Terem, E. & de Oliveira, N. (2023). Worldwide AI ethics: A review of 200 guidelines and recommendations for AI governance. Patterns (New York, N.Y.), 4(10), 100857. https://doi.org/10.1016/j.patter.2023.100857

Corbin, J. M. & Strauss, A. (1990). Grounded theory research: Procedures, canons, and evaluative criteria. Qualitative Sociology, 13, 3-21. https://doi.org/10.1007/BF00988593

Creswell, J. W. & Poth, C. N. (2018). Qualitative inquiry and research design: Choosing among five approaches (4th Ed.). London: Sage.

Daymon, C. & Holloway, I. (2010). Qualitative research methods in public relations and marketing communications. New York: Routledge.

Denzin, N. K. & Lincoln, Y. S. (2018). The SAGE handbook of qualitative research (5th Ed.). London: Sage.

Feng, Y. & Chen, H. (2022). Leveraging artificial intelligence to analyze consumer sentiments within their context: A case study of Always #LikeAGirl campaign. Journal of Interactive Advertising, 22(3), 336-348. https://doi.org/10.1080/15252019.2022.2126337

Fioravante, R. (2024). Beyond the business case for responsible artificial intelligence: Strategic CSR in light of digital washing and the moral human argument. Sustainability (Switzerland), 16(3), Article 1232. https://doi.org/10.3390/su16031232

He, F., Du, M., Filos-Ratsikas, A., Cheng, L., Song, Q., Lin, M. & Vines, J. (2024). AI driven online advertising: Market design, generative AI, and ethics. Journal of Business Research. Advance online publication. https://doi.org/10.1145/3589335.3641295

Gentles, S. J., Charles, C., Ploeg, J. & McKibbon, K. (2015). Sampling in qualitative research: Insights from an overview of the methods literature. The Qualitative Report, 20(11), 1772-1789.

Gil de Zúñiga, H., Goyanes, M. & Durotoye, T. (2024). A Scholarly Definition of Artificial Intelligence (AI): Advancing AI as a Conceptual Framework in Communication Research. Political Communication, 41(2), 317-334. https://doi.org/10.1080/10584609.2023.2290497

Gioia, D. A., Corley, K. G. & Hamilton, A. L. (2013). Seeking Qualitative Rigor in Inductive Research: Notes on the Gioia Methodology. Organizational Research Methods, 16(1), 15-31. https://doi.org/10.1177/1094428112452151

González-Esteban, E. & Sanahuja-Sanahuja, R. (2023). Exigencias éticas para un periodismo responsable en el contexto de la inteligencia artificial. Daimon. Revista Internacional de Filosofía, 90, 131-145. https://doi.org/10.6018/daimon.557391

Hackley, C. & Kover, A. J. (2007). The trouble with creatives: negotiating creative identity in advertising agencies. International Journal of Advertising, 26(1), 63-78. https://doi.org/10.1080/02650487.2007.11072996

Hanna, D. (2023). The Use of Artificial Intelligence Art Generator “Midjourney” in Artistic and Advertising Creativity. Journal of Design Sciences and Applied Arts, 4(2), 42-58. https://doi.org/10.21608/jdsaa.2023.169144.1231

Iyer, P. & Bright, L. F. (2024). Navigating a paradigm shift: Technology and user acceptance of big data and artificial intelligence among advertising and marketing practitioners. Journal of Business Research, 180. https://doi.org/10.1016/j.jbusres.2024.114699

Kaur, J., Bhalla, P., Singh, S. & Madaan, G. (2024). Embracing the intelligent future: AI and digital marketing synergy. In Artificial Intelligence in Digital Marketing (Chapter 3). New York: Routledge. https://doi.org/10.4324/9781032688305-3

Kour, M. & Kour, R. (2024). AI and influencer marketing: Redefining the future of social media marketing in industry 6.0. In Advanced Businesses in Industry 6.0 (pp. 87-103). IGI Global. https://doi.org/10.4018/979-8-3693-3108-8.ch007

Lee, H.-K. (2022). Rethinking creativity: creative industries, AI and everyday creativity. Media, Culture & Society, 44(3), 601-612. https://doi.org/10.1177/01634437221077009

Lee, S., Park, S. & Kim, J. (2023). Humans as creativity gatekeepers: Are we biased against AI? Journal of Creative Behavior, 57(2), 344-360. https://doi.org/10.1016/j.yjoc.2024.100087

Mensa, M. (2013). Creativos publicitarios en Perú: características y entorno laboral. Zer. Revista de estudios de comunicación, 17(33), 47-66. https://doi.org/10.1387/zer.10613

Merriam, S. B. & Tisdell, E. J. (2016). Qualitative research: A guide to design and implementation (4th Ed.). San Francisco, CA: Jossey-Bass.

Miklavčič, J. (2023). The Ideal of Transparency in the Digital Era. Bogoslovni Vestnik/Theological Quarterly, 83(4), 825–838. https://doi.org/10.34291/BV2023/04/Miklavcic

Palinkas, L. A., Horwitz, S. M., Green, C. A., Wisdom, J. P., Duan, N. & Hoagwood, K. (2015). Purposeful sampling for qualitative data collection and analysis in mixed method implementation research. Administration and Policy in Mental Health and Mental Health Services Research, 42, 533-544. https://doi.org/10.1007/s10488-013-0528-y

Patton, M. Q. (2002). Qualitative research and evaluation methods (3rd Ed.). Thousand Oaks, CA: Sage.

Roca, D., Wilson, B., Barrios, A. & Muñoz-Sánchez, O. (2017). Creativity identity in Colombia: the advertising creatives’ perspective. International Journal of Advertising, 36(6), 831-851. https://doi.org/10.1080/02650487.2017.1374318

Salmons, J. (2015). Doing qualitative research online. London: Sage.

Smith, R. E. & Yang, X. (2004). Toward a General Theory of Creativity in Advertising: Examining the Role of Divergence. Marketing Theory, 4(1-2), 31-58. https://doi.org/10.1177/1470593104044086

Song, M., Chen, H., Wang, Y. & Duan, Y. (2024). Can AI fully replace human designers? Matching effects between declared creator types and advertising appeals on tourists’ visit intentions. Journal of Destination Marketing and Management, 32, 100892. https://doi.org/10.1016/j.jdmm.2024.100892

Strauss, A. & Corbin, J. (1998). Basics of qualitative research: Techniques and procedures for developing grounded theory (2nd Ed.). London: Sage.

Tamarit, F. (2022). Inteligencia artificial, aprendizaje y transferencia: Artificial intelligence, learning and transfer. Revista de Ciencias Empresariales, 7(2022), 88-92. https://doi.org/10.37767/2468-9785(2022)008

Vakratsas, D. & Wang, X. (Shane) (2020). Artificial Intelligence in Advertising Creativity. Journal of Advertising, 50(1), 39-51. https://doi.org/10.1080/00913367.2020.1843090

Vatankhah, S., Bamshad, V., Arici, H. E. & Duan, Y. (2024). Ethical implementation of artificial intelligence in the service industries. Service Industries Journal. Advance online publication. https://doi.org/10.1080/02642069.2024.2359077

Wallas, G. (1926). The art of thought. New York, NY: Franklin Watts.

Wu, L., Dodoo, N. A. & Wen, T. J. (2024). Disclosing AI’s involvement in advertising to consumers: A task-dependent perspective. Journal of Advertising. Advance online publication. https://doi.org/10.1080/00913367.2024.2309929

Wu, L., Dodoo, N. A., Wen, T. J. & Ke, L. (2022). Understanding Twitter conversations about artificial intelligence in advertising based on natural language processing. International Journal of Advertising, 41(4), 685-702. https://doi.org/10.1080/02650487.2021.1920218

Wu, L. & Wen, T. J. (2021). Understanding AI advertising from the consumer perspective: What factors determine consumer appreciation of AI-created advertisements? Journal of Advertising Research, 61(2), 133-146. https://doi.org/10.2501/JAR-2021-004

Xu, M., Zhang, L., Chen, S. & Wang, H. (2023). Human bias in evaluating AI product creativity. Journal of Computer-Mediated Communication, 28(1), zmac029. https://doi.org/10.1016/j.yjoc.2024.100087

Yin, R. K. (2011). Qualitative research from start to finish. New York, NY: Guilford Press.

Zhou, W., Zhang, C., Wu, L. & Shashidhar, M. (2023). ChatGPT and marketing: Analyzing public discourse in early Twitter posts. Journal of Marketing Analytics, 11(4), 693-706. https://doi.org/10.1057/s41270-023-00250-6


Metrics

Search GoogleScholar



Downloads

Download data is not yet available.

Section

Special Issue: The Use of Artificial Intelligence in Communication: Ethical Implications for Media