Yash Mishra,
Sonakshi Mishra,
Deepti Pandey,
- , Department of Management Studies Bansal Institute of Engineering and Technology Lucknow, Uttar Pradesh, India
- , Department of Management Studies Bansal Institute of Engineering and Technology Lucknow, Uttar Pradesh, India
- , Department of Management Studies Bansal Institute of Engineering and Technology Lucknow, Uttar Pradesh, India
Abstract
Artificial Intelligence (AI) is a significant factor in today’s global trends toward sustainability, as it enables waste reduction and energy optimization. Sustainability is now a strategic priority for many manufacturers, local governments, and logistics companies due to the rising environmental awareness and regulatory pressures. This paper explores the role of AI in facilitating waste management, smart grids, and industrial maintenance and reviewing the existing literature on AI-driven recycling, e-waste management, smart grids, and predictive maintenance. The study was conducted using the available academic and industry research data, including articles, reports, and case studies on AI applications in recycling, e-waste, smart grids, and predictive maintenance. The sources were evaluated for credibility, relevance, and publication timeframes, and the most informative and reliable ones were selected for this paper. Particular attention was paid to the themes of AI-enabled waste reduction, smart grids, and predictive maintenance, as they are the areas where AI is expected to make the most significant impact. The analysis revealed that AI can be instrumental in achieving sustainability goals by enabling dramatic reductions in material waste, optimizing resource consumption, and improving energy efficiency. Smart grids, managed by AI algorithms, are projected to bring substantial benefits by fine-tuning demand and supply and reducing energy waste. Similarly, AI can be utilized in smart cities to make municipal waste management more efficient and less energy intensive. The benefits of AI were found to be considerable in terms of cost and resource savings, but the costs of adoption may be steep for some companies and communities. Moreover, the complexities of AI systems may prevent their adoption in some instances due to technical, regulatory, and security concerns. Thus, while AI can enable businesses to achieve sustainability goals, its role is far from being universally beneficial. Future research should focus on investigating specific industries and their unique challenges in adopting and utilizing AI technologies and scrutinizing the environmental impact of AI itself.
Keywords: Artificial Intelligence, waste reduction, energy efficiency, sustainable business, smart systems, resource optimization.
[This article belongs to International Journal of Environmental Noise and Pollution Control ]
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| Volume | 04 | |
| Issue | 02 | |
| Received | 17/07/2026 | |
| Accepted | 10/08/2026 | |
| Published | 30/08/2026 | |
| Publication Time | 44 Days |