Artificial Intelligence (AI) and Machine Learning (ML) are transformative technologies reshaping business landscapes globally. This study focuses on their impact on sustainable business strategies (SBS) within key sectors such as Information Technology (IT), Finance, Agriculture, and Healthcare in developing markets, particularly in the Indian Subcontinent.
This study uses secondary data sources for analysis, which include academic journals and case studies. The study explores the adoption and implications of AI and ML across themes such as innovation, inclusive growth, sustainable development, ethical concerns, and infrastructure gaps. Sentiment analysis is applied to measure the role of these technologies in optimising operations, enhancing decision-making, and driving sustainable development goals.
The study emphasises the potential of AI and ML to foster inclusive growth, address socio-economic challenges, and promote innovation, while also highlighting the need for supportive policies, skill development, and infrastructure investment to ensure equitable and sustainable adoption in these sectors.
The study examines the role of AI and ML in shaping SBS across key sectors in developing markets of the Indian Subcontinent. Keyword: Artificial Intelligence; Machine Learning; Sustainable Business Strategies; Sentimental Analysis; Socio-Economic Challenges.
Ahmed, A. and Naim, A. (2026): AI and ML Driven Transformation and Proofing Sustainable Business Strategies in Developing Markets. World Journal of Science, Technology and Sustainable Development (WJSTSD), Vol. 21, Nos. 1/2/3, pp. 107-123. WASD: London, United Kingdom.
