The Role of Artificial Intelligence in Transforming Multan's Green Businesses towards a Sustainable Future
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ID: 287767
2025
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Abstract
Artificial Intelligence (AI) is increasingly recognized as a game-changer driving sustainability goals in green businesses. Artificial Intelligence adoption is studied to identify transformations that improve sustainability in the green business sector of Multan, Pakistan. The latest news about environmental degradation and climate change impacts escalating pressure on businesses to adopt sustainable procedures that reduce their ecological impact. As the new partner, AI assists businesses in reaching efficiency while enhancing operational control and revealing environmentally friendly breakthroughs across value chain activities. The research examines how AI technologies (shell out machine learning algorithms, data analytics, automation, etc.) work in Multan's green business sector. The study investigates AI's impact on sustainability measures, which include energy reduction, waste removal, carbon reduction, and financial cost optimization. Research data collection involved qualitative and quantitative methods, analysing how Multan-based green businesses employed AI technology and the related difficulties and advantageous results. The research findings demonstrate that AI substantially improves business operations and environmental sustainability because companies now base their decisions on data to reduce waste and minimize their energy consumption. The global expansion of AI remains obstructed because of economic barriers, professional shortages, and insufficient infrastructure. The study recommends practical solutions to address existing barriers so businesses in Multan can use AI to develop their green operations into sustainable practices. The study delivers beneficial recommendations for governing bodies, business executives, and academic researchers committed to advancing sustainable AI processes in growing economies worldwide.
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| Authors | Inshal Khan |
| Journal | Southern Journal of Business |
| Year | 2025 |
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| Keywords | Keywords not found |
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