Artificial Intelligence (AI) has emerged as a transformative technology reshaping manufacturing organizations worldwide. The integration of AI-based tools and techniques has significantly enhanced productivity, operational efficiency, product quality, and managerial decision-making in the manufacturing sector. This research paper examines the impact of Artificial Intelligence on manufacturing organizations by analyzing its key applications, benefits, challenges, and future scope. The study is based on secondary data collected from research journals, industry reports, and academic publications, along with case studies of Tata Steel and Maruti Suzuki Limited, two leading Indian manufacturing organizations. The findings indicate that AI plays a crucial role in automating production processes, optimizing supply chains, reducing operational costs, minimizing defects, and improving overall organizational performance. The case studies highlight how AI adoption has enabled predictive maintenance, quality control, and data-driven decision-making in large-scale manufacturing environments. Despite these advantages, the study identifies challenges such as high implementation costs, lack of skilled workforce, data security concerns, and cybersecurity risks as major barriers to widespread AI adoption. The paper concludes that, despite these challenges, Artificial Intelligence will remain a key driver of smart manufacturing, competitiveness, and sustainable industrial growth in the coming years.
Ranjita Girish Mhaskar (Mon,) studied this question.