IMPACT OF AI INTEGRATION ON ELECTRIC VEHICLE PROFITABILITY: AN ANALYTICAL STUDY

  • Research Scholar,Assistant Professor , School of Management, CMR University Bangalore, Karnataka, India- 560043.
  • Professor- School of Management, CMR University, Bangalore, Karnataka, India- 560043.
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This study examines how artificial intelligence (AI) integration affects the profitability of electric vehicles (EVs). It focuses on AI applications in manufacturing, supply chain optimization, energy management, autonomous driving, and customer experience. Through a combination of financial analysis, case studies, and technological assessments, the research aims to determine whether AI boosts EV companies' margins, efficiency, and long-term sustainability. For instance, AI-driven predictive maintenance can reduce maintenance costs by up to 40% and improve vehicle uptime by 20%. Additionally, AI-enhanced energy management systems can optimize battery usage, extending lifespan and reducing energy consumption. The implementation of AI in smart charging infrastructure allows for dynamic load balancing and predictive maintenance of charging stations, improving the efficiency of charging networks. These advancements not only lower operational costs but also enhance the overall user experience, leading to increased adoption and profitability in the EV market.

[Sharfunisa.N and S.Ayyappan (2025); IMPACT OF AI INTEGRATION ON ELECTRIC VEHICLE PROFITABILITY: AN ANALYTICAL STUDY Int. J. of Adv. Res. (Jul). 1266-1273] (ISSN 2320-5407). www.journalijar.com

Sharfunisa.N
CMR University
India

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