Academic libraries are evolving into intelligent knowledge ecosystems that leverage artificial intelligence (AI) to enhance research visibility, support cross-disciplinary collaboration, and facilitate evidence-based decision-making in the areas of food security and sustainability. This study examines how academic librarians can strengthen knowledge management for policymakers, agribusiness leaders, and researchers through AI-powered digital repositories, machine learning-based metadata curation, and open-access frameworks. Based on a qualitative case study, the findings reveal that AI-enhanced metadata systems improve research discoverability, streamline data access, and bridge knowledge gaps between universities, government, and industry. However, the potential of these technologies is constrained by algorithmic bias, inadequate AI training among librarians, and fragmented digital infrastructure. In response, this paper proposes policy-driven digital transformation, knowledge-sharing strategies, and enhanced industry-academia collaborations. The study contributes to ongoing dialogues on open science, agritech innovation, and AI for sustainable development by highlighting the transformative role of academic libraries in digital knowledge ecosystems.