Revolutionizing Automobile Industry Through Artificial Intelligence (AI)
The integration of Artificial Intelligence (AI) has significantly influenced the automobile industry worldwide, with developing nations experiencing unique challenges and opportunities. This review examines the impact of AI on the automobile sector in these countries, focusing on its contributions to manufacturing processes, vehicle performance, and user experience. The study systematically reviews existing literature and case studies to evaluate AI applications in the automobile industry, particularly in manufacturing, supply chain management, vehicle design, and autonomous driving technologies. The review adopts a qualitative approach to assess the technological, social, and economic implications of AI adoption. The findings reveal that AI enhances manufacturing efficiency through intelligent automation and optimized resource use, while AI algorithms improve vehicle performance in design, predictive maintenance, and safety systems. Additionally, the review highlights the impact of AI-driven autonomous vehicles on transportation infrastructure, emphasizing their potential to reshape societal and economic landscapes. AI's role in enhancing the consumer experience is also examined, including the integration of smart features and personalized services that redefine connectivity in vehicles. The adoption of AI presents both opportunities and challenges, including potential shifts in the job market and the democratization of advanced automotive technologies. This review provides insights for policymakers, industry stakeholders, and researchers to navigate the evolving landscape of AI in the automotive sector of emerging economies
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-04-08
- DOI
- https://doi.org/10.5281/zenodo.15174888
- Primary Topic
- Digital Transformation in Industry
- Type
- article
- Field-Weighted Citation Impact
- 0.00