The fast fashion industry, known for its rapid production cycles and cost-efficiency, faces mounting pressure to align with global sustainability goals. This research explores the transformative potential of Artificial Intelligence (AI) in the sector, proposing a comprehensive framework for its responsible adoption. The study introduces six interconnected pillars: Environmental Performance and Sustainability, Supply Chain Optimization, Design and Production Innovation, Consumer Engagement and Personalization, Ethical and Social Considerations, and Economic Implications. These pillars collectively address key challenges such as resource efficiency, transparency, ethical accountability, and financial barriers to AI implementation. The research adopts a conceptual design grounded in a multidisciplinary literature review, synthesizing insights from sustainability science, AI ethics, and business innovation. By offering actionable strategies tailored to the fast fashion value chain, the framework aims to balance technological advancement with ecological and social responsibility. This work provides a roadmap for industry stakeholders, policymakers, and researchers to navigate the complexities of AI integration, ensuring equitable access to innovative technologies while promoting environmental stewardship and economic growth.