Abstract
The advent of generative artificial intelligence (AI) technologies heralds a new era in industrial innovation, offering unprecedented capabilities for content creation, predictive analytics, and automation. This paper delves into the transformative potential of generative AI across key industrial sectors, emphasizing its role in catalyzing technological advancements, enhancing operational efficiencies, and fostering sustainable practices. By exploring the technical characteristics, developmental trajectory, and application scenarios of generative AI, alongside a critical examination of its limitations and ethical considerations, this study aims to provide a comprehensive understanding of how generative AI is reshaping the landscape of automotive, manufacturing, and energy industries.
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CITATION STYLE
Yafei, X., Wu, Y., Song, J., Gong, Y., & Lianga, P. (2024). Generative AI in Industrial Revolution: A Comprehensive Research on Transformations, Challenges, and Future Directions. Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (Online), 3(2), 11–20. https://doi.org/10.60087/jklst.vol.3n2.p20
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