This analysis reveals the status of AI integration in automotive manufacturing, highlighting essential frameworks and barriers.
Artificial intelligence (AI) technologies are increasingly shaping the trajectory of industrial automation, particularly in the automotive manufacturing sector. This paper examines industrial readiness for AI integration on the factory floor, offering a detailed exploration of relevant technologies, assessment frameworks, current capabilities, challenges, and strategic roadmaps. Drawing from literature published between 2020 and 2023, we identify how AI intersects with Industry 4.0, analyze maturity models such as Technology Readiness Levels (TRL) and AI Capability Maturity Models (AI-CMM), and discuss technical, organizational, and regulatory barriers. The findings emphasize the need for comprehensive readiness assessments, robust data governance, and proactive workforce development. The paper concludes with recommendations for achieving long-term sustainable AI adoption in automotive manufacturing.
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M. Ahmed (2023) studied this question.
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