Document Type
Article
Publication Title
Design+
Abstract
Artificial intelligence (AI) has been extensively used in digital marketing. Still, the recent advances in generative AI (GAI) have revolutionized social media marketing and content creation, lowering barriers that once restricted high-quality design to professionals well versed in expensive and complex software like Adobe Suite. GAI tools enable anyone, from students to marketers, to generate logos, branding, and multimedia content without extensive training. This shift has empowered more people to engage in creative expression, expanding the pool of ideas and creativity. However, the abundance of AI-generated content raises questions about the evolving definition of “art” and the emergence of a new category of AI artists and designers who blend technical skills with AI-driven creativity. The future of marketing will likely see even greater automation, where these generative tools learn brand esthetics, predict trends, and create content tailored to specific audiences – eventually automating everything from ad creation to distribution across platforms. Methods are reviewed by which these tools influence each marketing stage, from audience segmentation to content distribution, and assess their impact on key performance indicators such as engagement, conversion rates, and return on investment. More significantly, the article explores and demonstrates how GAI reshapes content creation, how audiences adapt to AI-generated work, and the implications for the future of marketing and design as the technology becomes an increasingly seamless collaborator.
DOI
10.36922/dp.4776
Publication Date
12-2024
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Recommended Citation
Smith, Andrew and Hutson, James, "From concept to creation: The role of generative artificial intelligence in the new age of digital marketing" (2024). Faculty Scholarship. 703.
https://digitalcommons.lindenwood.edu/faculty-research-papers/703