Does cultural economics affect country’s competitiveness?

Abstract

The convergence of Artificial Intelligence (AI) and green energy systems has emerged as one of the most consequential trends in sustainable business management. This paper presents an empirical, survey-based investigation into managerial perceptions, adoption readiness and organizational barriers to AI-driven green energy optimization in Indian enterprises. Drawing upon structured questionnaire responses from 312 managers across manufacturing, services and infrastructure sectors, the study employs descriptive statistics, factor analysis and structural equation modelling (SEM) to identify the key drivers and impediments of AI adoption in energy management systems. Findings reveal that cost-efficiency expectations, regulatory pressure and ESG compliance obligations are primary motivators, while talent scarcity, high initial investment and data privacy concerns constitute the most significant barriers. The paper contributes to the growing literature on AI-enabled sustainability by offering a business-management lens to a largely technology-oriented discourse and provides actionable recommendations for policymakers, enterprise leaders and institutional investors. The study situates India within the broader global transition to intelligent energy systems and calls for collaborative governance frameworks that enable smaller enterprises to participate meaningfully in the AI-green energy nexus.

Keyword : Artificial Intelligence, Green Energy, Energy Optimization, Sustainable Business Practices, ESG, Managerial Perception, Adoption Barriers,