More Enthusiasm than Skepticism: AI in Advertising from the Perspective of its spanish Professionals
DOI:
https://doi.org/10.12795/Ambitos.2025.i68.12Keywords:
Artificial Intelligence, advertising, marketing, professionals, surveyAbstract
This study analyzes the perception of advertising professionals in Spain about artificial intelligence (AI) and its impact on the industry, based on a survey of 373 experts in the sector. The results reflect a mostly positive attitude, with 66.5 % of respondents perceiving AI as an opportunity. It is confirmed that the familiarity and frequency of use of these tools influence their acceptance, as well as their contribution to the optimization of processes and automation of repetitive tasks without replacing human creativity. In addition, respondents consider AI to be especially useful for streamlining processes, optimizing resources and improving advertising segmentation, highlighting its ability to make strategic decision-making more efficient. The research suggests that the effective adoption of AI requires continuous training and integration strategies that balance technological efficiency with the creative identity of the sector. It is recommended to develop qualitative and longitudinal studies to analyze the evolution of these perceptions and their impact on the advertising industry.
Downloads
References
Aarzoo, R.L., & Lal, R. (2025). Enhancing Advertising Effectiveness Through AIDA, AI, and Data Visualization Integration for Business Strategies. In M. Muniasamy, A. Naim, & A. Kumar (Eds.), Data Visualization Tools for Business Applications (pp. 85-102). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-6537-3.ch005
Arbaiza, F., Arias, J., & Robledo-Dioses, K. (2024). AI-Driven Advertising Activity: Perspectives from Peruvian Advertisers. Communication & Society, 37(4), 273-292. https://doi.org/10.15581/003.37.4.273-292
Argan, M., Dinç, H., Kaya, S., & Tokay Argan, M. (2023). Artificial Intelligence (AI) in Advertising: Understanding and Schematizing the Behaviors of Social Media Users. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 11(3), 331-348. https://doi.org/10.14201/adcaij.28331
Beer, D. (2018). The Data Gaze: Capitalism, Power and Perception. SAGE Publications.
Bir, G., & Aksu, S. (2024). An Examination of the Utilization of Artificial Intelligence Technologies by Advertising Agencies. Yeni Medya, (16), 19-37. https://doi.org/10.55609/yenimedya.1434419
Brynjolfsson, E., & McAfee, A. (2014). The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. W. W. Norton & Company.
Chen Cheng , C. Chung, E., & Correa, N. (2023). La inteligencia artificial y su impacto en la Industria de la Ingeniería, REICIT, 3(1), 26-40. https://doi.org/10.48204/reict.v3n1.3948
Davidson, J. (1970). Outdoor recreation surveys: The design and use of questionnaires for site surveys. London: Countryside Commission.
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008
Estrada-Araoz, E., Manrique-Jaramillo, Y., Díaz-Pereira, V., Rucoba-Frisancho, J., Paredes Valverde, Y., Herrera, R., & Quispe-Paredes, D. (2024). Evaluación del nivel de conocimiento sobre inteligencia artificial en una muestra de docentes universitarios: Un estudio descriptivo. Data and Metadata. 3, 285. https://doi.org/10.56294/dm2024285
Fernández Rincón, A., & Hernández Gómez, O.S. (2023). La inteligencia artificial al servicio de la creatividad publicitaria. En Baena Cuder, I. Baena Cuder, D. Rando Cueto y S. Otero Escudero (coords.). Acciones y realidades ante la manipulación social: redes sociales, publicidad y marketing (pp.1051-1065). Dykinson
Gao, B., Wang, Y., Xie, H., Hu, Y., & Hu, Y. (2023). Artificial Intelligence in Advertising: Advancements, Challenges, and Ethical Considerations in Targeting, Personalization, Content Creation, and Ad Optimization. SAGE Open. https://doi.org/10.1177/21582440231210759
Gascue Quiñones, A. (2016). Los desafíos de la nueva ecología publicitaria. Revista Prisma Social, (17), 46-63. https://revistaprismasocial.es/article/view/1275
Gupta, T., & Bansal, S. (2023). Navigating the AI Revolution: A New Era in Marketing. International Journal of Science and Research. (12), 2065-2072. https://doi.org/10.21275/SR24302221714
Haase, J., & Pokutta, S. (2024). Human-AI Co-Creativity: Exploring Synergies Across Levels of Creative Collaboration. https://doi.org/10.48550/arxiv.2411.12527
Haleem, A., Javaid, M., Qadri, M.A., Singh, R.P., & Suman, R. (2022). Artificial intelligence (AI) applications for marketing: A literature-based study. International Journal of Intelligent Networks, (3), 119-132. https://doi.org/10.1016/j.ijin.2022.08.005
Hernández Sampieri, R., Fernández Collado, C., & Baptista Lucio, P. (2014). Metodología de la investigación (6ª ed.). McGraw-Hill.
Igartua, J.J. (2006). Métodos cuantitativos de investigación en comunicación. Bosch.
Kerr, G., & Richards, J. (2020). Redefining advertising in research and practice. International Journal of Advertising, 40(2), 175-198. https://doi.org/10.1080/02650487.2020.1769407
Kumar, A., Shukla, P., Sharan, A., & Mahindru, T. (2018). National Strategy for Artificial Intelligence. #AIforall. https://www.niti.gov.in/sites/default/files/2023-03/National-Strategy-for-Artificial-Intelligence.pdf
Liberos Hoppe, E., Ahumada Luyando, S., & Sánchez Ahumada, M. (2024). Inteligencia artificial para el marketing: Cómo la tecnología revolucionará tu estrategia. ESIC Editorial.
López Roldán, P., & Fachelli, S. (2015). Metodología de la investigación social cuantitativa. Universitat Autònoma de Barcelona.
Mayoral, A. (2019). La revolución de la Inteligencia Artificial en el ecosistema publicitario. Marketing Directo. https://lc.cx/wIENl8
Martínez Martínez, I. J., Aguado, J. M., & Sánchez Cobarro, P. del H. (2022). Smart Advertising: Innovación y disrupción tecnológica asociadas a la IA en el ecosistema publicitario. Revista Latina De Comunicación Social, (80), 69-90. https://doi.org/10.4185/10.4185/RLCS-2022-1693
Meneses, J., & Rodríguez-Gómez, D. (2011). El cuestionario y la entrevista. Consultado de: https://femrecerca.cat/meneses/publication/cuestionario-entrevista/cuestionario-entrevista.pdf
Munyengeterwa, T. S., Richards, M. B., & Eaton, J. B. (2023). Artificial Intelligence Trends and Perceptions: Content Strategy and the Customer Journey. En Z. Fields (Ed.), Multidisciplinary Approaches in AI, Creativity, Innovation, and Green Collaboration (pp. 88-120). IGI Global Scientific Publishing. https://doi.org/10.4018/978-1-6684-6366-6.ch006
Nairn, A., Matthews, J., & Fastnedge, D. (2022). Catering to clients: How artificial intelligence can influence the advertising agency–client dynamic. Interactions: Studies in Communication & Culture, 13(2), 133-146. https://doi.org/10.1386/iscc_00057_1
Noranee, S. (2023). Understanding Consumer Sentiments: Exploring the Role of Artificial Intelligence in Marketing. JMM 17 : Jurnal Ilmu Ekonomi Dan Manajemen, 10(1), 15-23. https://doi.org/10.30996/jmm17.v10i1.8690
Ogilvy (2023). The impact of AI on marketing: from algorithms to artistry. Consultado de: https://lc.cx/jrR75A
Orús, A. (2023). Número de trabajadores dentro del sector del marketing en España entre 2011 y 2022. Statista. Consultado de: https://es.statista.com/estadisticas/942691/mercado-laboral-en-sector-de-marketing-espana/
Oxford University Press (2023). En Oxford English Dictionary. Entrada Artificial Intelligence. https://www.oed.com/dictionary/artificial-intelligence_n?tl=true
Patton, M. Q. (2015). Qualitative research & evaluation methods (4th ed.). SAGE Publications.
Putri, S.A., & Dermawan Wibisono, I. (2024). Optimizing AI-Integrated Creative Process in Advertising Industry through KBPMS Approach. International Journal of Current Science Research and Review, 07(07). https://doi.org/10.47191/ijcsrr/v7-i7-06
Sabharwal, D., Sood, R.S., & Verma, M. (2022). Studying the Relationship between Artificial Intelligence and Digital Advertising in Marketing Strategy. Journal of Content, Community & Communication, 16(8), pp. 118-126. https://www.amity.edu/gwalior/jccc/pdf/dec-2022-10.pdf
Shameen, A. (2023). The Rising Importance of AI in Boosting the Efficiency of Online Advertising in Developing Countries. 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10182754
Shah, N. (2023). AI and its impact on the digital media ecosystem. https://www.warc.com/newsandopinion/opinion/ai-and-its-impact-on-the-digital-media-ecosystem/en-gb/6093
Shree, P. K. (2024). Beyond Boundaries: Examining the Coming Together of AI and Marketing. Indian Scientific Journal Of Research In Engineering And Management, 8 (1). https://doi.org/10.55041/ijsrem28394
Shrestha, Y.R., Ben-Menahem, S.M., & von Krogh, G. (2021). Organizational Decision-Making Structures in the Age of Artificial Intelligence. California Management Review, 63(4), 33-57. https://doi.org/10.1177/0008125619862257
Vicsek, L., Pinter, R., & Bauer, Z. (2025). Shifting job expectations in the era of generative AI hype – perspectives of journalists and copywriters, International Journal of Sociology and Social Policy, 45(12), 1-16. https://doi.org/10.1108/IJSSP-05-2024-0231
Yu, Y. (2022). The Role and Influence of Artificial Intelligence on Advertising Industry. Advances in Social Science, Education and Humanities Research, (631). https://doi.org/10.2991/assehr.k.220105.037
Wu, L., Dodoo, N.A., Wen, T.J., & Ke, L. (2021). 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
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Asenjo-McCabe, S., Herrera Damas, S., Del-Pino Romero, C.

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Ámbitos. Revista Internacional de Comunicación is an open access journal, which means that all content is freely available at no charge to the user or their institution. Users may read, download, copy, distribute, distribute, print, search or link to the full text of articles, or use them for any other lawful purpose, without seeking prior permission from the publisher or author. This definition of open access is in accordance with the Budapest Open Access Initiative (BOAI).

Unless otherwise noted, all content in the electronic edition is distributed under a "Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License". You can consult the informative version and legal text of the licence here. This should be expressly stated in this way where necessary.
In case of acceptance of the manuscript, the authors cede the rights of the work for its publication to Ámbitos. Revista Internacional de Comunicación under the Attribution-NonCommercial-ShareAlike 4.0 International license contract (CC BY-NC-SA 4.0). The authors retain copyright and third parties are authorised to copy, distribute and make use of the work, provided they comply with the terms and conditions set out in the licence
- Cite the authorship and the original source of publication (journal, publisher and URL of the work).
- Do not use them for commercial purposes.
- If you remix, transform or create from the material, you must release your contributions under the same license as the original.
More information can be found at https://creativecommons.org/licenses/by-nc-sa/4.0/deed.es















