Synergizing Artificial Intelligence with Green Startups: An Integrated Model for ESG Performance Optimization

Abstract

The modern business landscape defined is by rapid technological evolution and growing environmental issues, the incorporation of Artificial Intelligence into the sustainable emerging ventures or green start-ups has surfaced as a revolutionary factor. Green start-ups are the organisations that emphasize environmentally sustainable method while aiming for economic sustainability. The implementation of AI mechanisms such as automation, machine learning and predictive analytics has facilitated these start-ups to improve their internal efficiency and co-ordinate their approaches with Environmental, Social and Governance (ESG) foundations.

This study implements, descriptive and theoretical methodology to analyse how AI supports ESG performance in green start-ups. Leveraging existing information or secondary data from academic publications, organizational reports and industry findings, the enquiry distinguishes key thematic areas where AI creates benefit. The results disclose that AI substantially improves environmental sustainability through efficient resource management, solidifies social obligation by enhancing stakeholder interaction and support governance through increased clarity and responsibility.

However, the study also emphasises on crucial obstacles including moral issues, data Reliance, and technological obstructions, which may obstruct the productive execution of AI. The research summarises that AI win calculatedly combined act as a productive facilitator of sustainable entrepreneurship, providing both strategic edge and enduring societal advantages.