ABSTRACT. This study examines the impact of generative artificial intelligence (AI) on the development of smart manufacturing strategies. The paper evaluates the ways in which the integration of generative AI technology can facilitate the manufacturing processes which are beyond the automation sphere, building on an exhaustive literature review as well as empirical work. The study pinpoints difficulties to adoption: integration of workforce, new technology and data protection. Result of the analysis shows the crucial role of multidisciplinary team work and training. This modern study aids in further comprehending the generative abuse of power within the realms of transformation of manufacturing and further serves as a roadmap for truly effective deployment in smart manufacturing tailored environments.
JEL codes: D53; E22; E32; E44; G01; G41

Keywords: generative artificial intelligence; smart manufacturing; digital twins; Industry 4.0; manufacturing automation; human‒AI collaboration

How to cite: Nica, E., Emek, M. L., Gura, K., Ghiocanu, Ș. C. (2023). “Beyond Automation: Generative Artificial Intelligence’s Transformative Potential in Designing Next-Generation Smart Manufacturing Strategies,” Economics, Management, and Financial Markets 18(3): 9–23. doi: 10.22381/emfm18320231.

Received 10 June 2023 • Received in revised form 25 September 2023
Accepted 28 September 2023 • Available online 30 September 2023