Artificial Intelligence Innovation through Public–Private Partnership: Building Sustainable AI Ecosystems

Artificial Intelligence is transforming modern economies by enabling automation, predictive analytics, and intelligent decision-making across sectors such as healthcare, education, finance, and governance. However, the development and deployment of AI systems require large-scale investment in infrastructure, skilled workforce, data ecosystems, and regulatory frameworks. Public–Private Partnerships (PPP) provide a collaborative mechanism that enables governments, private technology companies, and research institutions to jointly develop AI innovations. This study explores how PPP frameworks can support AI research, infrastructure development, and technology commercialization. Using conceptual analysis and secondary research methods, the study examines global AI innovation models and identifies key factors influencing successful PPP collaborations. The results highlight that strong governance structures, funding mechanisms, research collaborations, and data-sharing policies are essential for effective AI innovation ecosystems. The paper proposes a strategic model for AI innovation through PPP and provides recommendations for policymakers, industry leaders, and academic institutions. Keywords: Artificial Intelligence, Public–Private Partnership, Innovation Ecosystem, Digital Transformation, AI Policy, Technology Governance.