Abstract
Generative AI (Gen AI) is shaping the future of marketing. In the next decade, Gen AI will influence how marketers interact and communicate with customers, help create and deliver marketing content (text, images, and video), and inform methods for researching and developing new products and services. In both service and sales settings, Gen AI will affect customers directly and significantly. Therefore, marketers, researchers, and public policy makers require a clear understanding of Gen AI and its potential, as well as its limitations. To assist marketers in thinking through the adoption and implementation of Gen AI, the current article presents a four-quadrant organizing framework that highlights trade-offs in both the nature of Gen AI inputs and the extent of human augmentation needed to deliver Gen AI–generated outputs. This framework provides guidance for the selection and implementation of Gen AI tools, as well as recommendations for further research.
| Original language | English |
|---|---|
| Article number | 101032 |
| Pages (from-to) | 702-722 |
| Number of pages | 21 |
| Journal | Journal of the Academy of Marketing Science |
| Volume | 53 |
| Issue number | 3 |
| Early online date | 14 Dec 2024 |
| DOIs | |
| Publication status | Published - 31 May 2025 |
Acknowledgements
The authors appreciate the helpful feedback of the editor John Hulland and the three reviewers.Keywords
- Artificial intelligence
- Customization
- Generative AI
- Human augmentation
ASJC Scopus subject areas
- Business and International Management
- Economics and Econometrics
- Marketing
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