IDEAS home Printed from https://ideas.repec.org/a/vrs/poicbe/v19y2025i1p3859-3867n1032.html
   My bibliography  Save this article

Destigmatizing Generative A.I. for Marketing Content Development

Author

Listed:
  • Ivanov Svilen

    (University of Economics-Varna, Varna, Bulgaria)

  • Zhechev Vladimir

    (University of Economics-Varna, Varna, Bulgaria)

Abstract

Generative Artificial Intelligence (Gen AI) holds immense transformative power for multiple industries. Its proponents highlight its quality upscaling and greater productivity capabilities across multiple domains of human activity. Many companies have realized that they may need a comprehensive redesign of internal processes to harness the power of Gen AI. The latter sees multifaceted manifestations in the field of marketing content development where time to market and real-time analytics shape competitive advantage. In 2023 the philosopher Yuval Harari even claimed “AI has hacked the operating system of human civilization” through its capacity to generate text, sound and images. At the same time, AI content development are still in the early stage of their evolution, though the questions “what and how it is changing the landscape for people in the industry” continue to exhibit novel dimensions. Given this, the aim of this article is to delineate whether and to what extent AI generated marketing content can produce greater effectiveness of a communication campaign in comparison to human-generated content. We discover important implications for companies related to scale, level of creativity and effectiveness of marketing content. We also identify 6 key skill sets necessary to foster future activities related to marketing content development using AI: (1) design of strategic vision and planning of an entire campaign; (2) development of creative thinking; (3) data interpretation and analysis; (4) understanding the ethical context; (5) adaptability to new and emerging processes; (6) realizing the significance of Gen AI – human interaction.

Suggested Citation

  • Ivanov Svilen & Zhechev Vladimir, 2025. "Destigmatizing Generative A.I. for Marketing Content Development," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 19(1), pages 3859-3867.
  • Handle: RePEc:vrs:poicbe:v:19:y:2025:i:1:p:3859-3867:n:1032
    DOI: 10.2478/picbe-2025-0294
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/picbe-2025-0294
    Download Restriction: no

    File URL: https://libkey.io/10.2478/picbe-2025-0294?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vrs:poicbe:v:19:y:2025:i:1:p:3859-3867:n:1032. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.