How Artificial Intelligence Helps Companies Grow Sustainably and Improve Financial Performance in Global Markets
Keywords:
Artificial Intelligence (AI), Global Trade, Business Operations, Decision-Making, Supply Chain Optimization, Sustainable DevelopmentAbstract
Artificial Intelligence (AI) has emerged as a significant force in transforming global trade. It aids businesses in enhancing profitability, increasing financial returns, improving operational efficiency, and achieving sustainable objectives, which contributes to the optimum utilisation of resources. This research paper offers an in-depth analysis of how artificial intelligence effects contemporary business operations and the decision-making process. Through secondary research, the study emphasizes the role of AI in reducing costs, optimizing supply chains, monitoring environmental factors, enhancing customer knowledge, and providing a competitive edge. It also addresses challenges, ethical considerations, and the future of AI in promoting sustainable global development. Furthermore, it examines how AI-driven systems enhance efficiency, accuracy, and overall organizational performance. The paper concludes by emphasizing ai’s crucial role in driving responsible innovation and promoting global commercial advancement.
References
Accenture. (2021). AI as a catalyst for sustainability in business. Accenture Research. https://www.accenture.com
Bansal, S., Kauffman, R. J., & Weitzel, T. (2020). Digital transformation and environmental sustainability: A review and research agenda. Sustainable Production and Consumption, 25, 14–26. https://doi.org/10.1016/j.spc.2020.07.008
Brynjolfsson, E., & McAfee, A. (2017). Machine, platform, crowd: Harnessing our digital future. W.W. Norton & Company.
Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108–116.
European Commission. (2020). Ethics guidelines for trustworthy AI. Publications Office of the European Union.
Google AI. (2022). Building energy-efficient and carbon-neutral AI systems. Google Research. https://www.blog.google/technology/ai/
IBM. (2023). AI and sustainability: How artificial intelligence supports environmental goals. IBM Research. https://www.ibm.com
McKinsey Global Institute. (2018). Notes from the AI frontier: Insights from hundreds of use cases. McKinsey & Company.
OECD. (2021). AI in society: Opportunities and challenges. Organisation for Economic Co-operation and Development. https://www.oecd.org
PwC. (2020). AI predictions and global economic impact report. PricewaterhouseCoopers. https://www.pwc.com
Russell, S., & Norvig, P. (2021). Artificial intelligence: A modern approach (4th ed.). Pearson.
UNCTAD. (2022). Digital economy report: Cross-border e-commerce and AI for development. United Nations Conference on Trade and Development.
World Economic Forum. (2021). Harnessing AI for the global environmental agenda. WEF Publications. https://www.weforum.org
World Bank. (2022). The role of digital technologies and AI in global economic development. World Bank Publications.
Shaikh, S. A., & Jagirdar, A. H. (2026). Beyond AI dependence: Pedagogical approaches to strengthen student reasoning and analytical skills. In S. Khan & P. Pringuet (Eds.), Empowering learners with AI: Strategies, ethics, and frameworks (Chapter 8, pp. 1–16). IGI Global. https://doi.org/10.4018/979-8-3373-7386-7.ch008
Shaikh, S. A. (2024). Empowering Gen Z and Gen Alpha: A comprehensive approach to cultivating future leaders. In Futuristic Trends in Management (IIP Series, Vol. 3, Book 9, Part 2, Chapter 2). IIP Series. https://doi.org/10.58532/V3BHMA9P2CH2
Chougle, Z. S., & Shaikh, S. (2022). To understand the impact of Ayurvedic health-care business & its importance during COVID-19 with special reference to “Patanjali Products”. In Proceedings of the National Conference on Sustainability of Business during COVID-19, IJCRT, 10(1),
Bhagat, P. H., & Shaikh, S. A. (2025). Managing health care in the digital world: A comparative analysis on customers using health care services in Mumbai suburbs and Pune city. IJCRT. Registration ID: IJCRT_216557.
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