Transforming Wheels: AI Revolution across the Automotive Value Chain

This article examines the transformative impact of artificial intelligence across the entire automotive value chain, from vehicle conceptualization and design through manufacturing, user experience, and business operations. The article analyzes how AI technologies revolutionize traditional automotive engineering paradigms through generative design algorithms, digital twins, and materials science applications. The article explores autonomous vehicle systems, detailing advances in perception, decision-making frameworks, validation methodologies, and computing architectures that enable increasingly sophisticated autonomous capabilities. Additionally, it investigates how AI enhances the in-vehicle experience through natural language processing, driver monitoring, predictive maintenance, and emotion recognition systems. The business operations section examines AI applications in customer segmentation, virtual showrooms, inventory management, mobility services, and usage-based insurance models. Finally, the article addresses critical challenges, including data privacy, safety certification, ethical considerations, cybersecurity risks, and workforce development needs. The article reveals how AI is not merely augmenting existing automotive systems but fundamentally redefining the industry's technological foundations, business models, and consumer relationships.

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Publication Details

Journal
International Journal of Scientific Research in Computer Science Engineering and Information Technology
Published
2025-03-17
DOI
https://doi.org/10.32628/cseit25112496
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.00
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article

Transforming Wheels: AI Revolution across the Automotive Value Chain

M. RAI
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International Journal of Scientific Research in Computer Science Engineering and Information Technology
Digital Transformation in Industry
article

Transforming Wheels: AI Revolution across the Automotive Value Chain

M. RAI
article en

Abstract

This article examines the transformative impact of artificial intelligence across the entire automotive value chain, from vehicle conceptualization and design through manufacturing, user experience, and business operations. The article analyzes how AI technologies revolutionize traditional automotive engineering paradigms through generative design algorithms, digital twins, and materials science applications. The article explores autonomous vehicle systems, detailing advances in perception, decision-making frameworks, validation methodologies, and computing architectures that enable increasingly sophisticated autonomous capabilities. Additionally, it investigates how AI enhances the in-vehicle experience through natural language processing, driver monitoring, predictive maintenance, and emotion recognition systems. The business operations section examines AI applications in customer segmentation, virtual showrooms, inventory management, mobility services, and usage-based insurance models. Finally, the article addresses critical challenges, including data privacy, safety certification, ethical considerations, cybersecurity risks, and workforce development needs. The article reveals how AI is not merely augmenting existing automotive systems but fundamentally redefining the industry's technological foundations, business models, and consumer relationships.

International Journal of Scientific Research in Computer Science Engineering and Information TechnologyVol. 11(2)
General Motors (United States) (US)
Openalex Percentile: Top 94%
Digital Transformation in Industry
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