Citation:

Jogendra Kumar Yaramchitti. "Sustainability and Green AI in Semiconductor and Telecom Industries" International Research Journal of Economics and Management Studies, Vol. 4, No. 12, pp. 174-178, 2025. Crossref. http://doi.org/10.56472/25835238/IRJEMS-V4I12P121

Abstract:

The high-speed development of the artificial intelligence (AI) technologies has aggravated energy consumption and environmental effects in semiconductor manufacturing and telecommunication networks significantly. To make these sectors sustainable, the implementation of green AI and eco friendly manufacturing algorithms, energy optimization algorithms and hardware and network infrastructure circular economy versions should be integrated. This paper reviews existing practices and strategies to reduce environmental footprints which include energy efficient semiconductor fabrication, AI-controlled network energy management and the sustainability of lifecycle through the use of circular economy strategies. The most notable insights include the fact that AI and sustainable design principles can be used together to achieve a significant reduction in carbon emissions, maximized energy use, and a more responsible approach towards electronic waste management. The work also identifies the emerging challenges such as the trade-offs between computational performance and energy efficiency and provides future research and industry adoption fields. The strategies are essential in the implementation of sustainable technological advancement and the preservation of performance and reliability of AI-driven systems.

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Keywords:

Green AI, Sustainable Semiconductor Manufacturing, Energy Optimization, Circular Economy, AI Hardware, Telecom Networks, Eco-friendly Manufacturing.