<![CDATA[Ports in emerging maritime economies face increasing pressure to improve operational efficiency, service reliability, and resilience while simultaneously reducing environmental impacts. This study examines the readiness and strategic implications of artificial intelligence (AI) adoption for sustainable port performance in Indonesia, using Teluk Lamong Terminal as the principal case. An exploratory literature review, systematic bibliometric review of Scopus-indexed publications from 2015-2025, and case-based assessment were combined to map port business processes, stakeholder relationships, and existing digital systems, including INAPORTNET, CEISA, terminal operating systems, vessel management systems, automated gates, and truck-identification services. AI readiness was assessed through technological infrastructure, automation maturity, system interoperability, human-resource capability, operational efficiency, resilience, and environmental impact. The findings indicate that substantial digitalization has occurred, but the transition from rule-based automation to integrated AI remains at an early stage. AI offers opportunities for predictive maintenance, optimized vessel and yard planning, real-time energy management, emissions reduction, and more consistent operational decision-making. However, adoption is constrained by fragmented data, uneven workforce readiness, limited governance and regulatory guidance, and incomplete stakeholder integration. Sustainable AI implementation therefore requires interoperable data architecture, phased capability development, transparent governance, human oversight, and coordinated action among port operators, regulators, workers, and service users. The study contributes a stakeholder-oriented AI-readiness perspective that links technical capability with measurable operational, resilience, and environmental outcomes.]]>
