AI-Driven Sustainability Strategies: A Business Model for Emerging Economies

Business sustainability and artificial intelligence (AI) have emerged as strategic drivers of organizational transformation, especially in emerging economies. However, the effective adoption of AI in these contexts requires a systemic approach that integrates operational, organizational, and strategic dimensions. This article proposes an adaptive business sustainability model driven by AI, developed through a mixed-methods approach combining exploratory factor analysis, hierarchical clustering, multiple correspondence analysis, and qualitative coding from semi-structured interviews. The results revealed three core dimensions (sustainable productivity, ethical algorithmic governance, and smart environmental management), four technological adoption profiles, and seven key emerging variables. Based on these findings, the study presents a visual framework composed of three interconnected and feedback-driven levels, designed to guide the progressive implementation of AI in organizations seeking to align performance with ESG objectives and responsible digital transformation processes.