Generative AI in Social Media Advertising: Implications for Professional Skill Development
This study considers the potential effects of Generative AI on the skills development of professionals in the social media advertising and marketing industry (particularly around creativity and adaptability). More specifically, Generative AI technologies are rapidly disrupting social media platforms and advertising practices; therefore, the need to understand their impact on the professional skills development landscape is essential. To that end, this study employed both qualitative and empirical lenses to identify how advertising professionals respond to Generative AI's increasing presence and the adaptation of their skill development from that recognized role. This research provides significant evidence of the growing skills with social media advertising bequeathed by Generative AI, interconnecting workplace learning theories, industry strategies , and barriers in innovation and the digital realm. It gives practical advice to organizations about basic competencies necessary to develop and the repercussions of relying on generative tools in order to remain competitive. The research identifies Generative AI not only as a strategic investment for the organization, enhancing marketing efficacy and overall performance, but also enhancing innovation and learning. This proves its financial worth with tangible proof of lower campaign costs, faster content production, and greater conversion resulting from organizations putting AI-enhanced tools into operation. In demonstrating that the evolving Generative AI capabilities are indicators of an increase in productivity, measures such as increased marketing return on investment will place inordinate importance on building GenAI skills.
Authors
- Rajeswari P. S
- Vinay K S
Institutions
- SRM Institute of Science and Technology (IN)
Publication Details
- Journal
- International Journal of Accounting and Economics Studies
- Published
- 2025-11-03
- DOI
- https://doi.org/10.14419/3gt54k78
- Primary Topic
- AI in Service Interactions
- Type
- article
- Field-Weighted Citation Impact
- 0.00