Artificial Intelligence (AI) technologies have revolutionized maritime logistics and supply chain operations as much as they have revolutionized the manner in which other basic services are provided and exported in the maritime world, especially for the export-oriented Micro, Small and Medium Enterprises (MSMEs). This study delves into how the adoption of AI affects maritime supply chain resilience for MSME exporters in the India–Thailand trade corridor. The research combines the Technology Acceptance Model (TAM) and Dynamic Capability Theory, aiming to analyse the influence of perceived usefulness, technological readiness, digital integration and organizational adaptability on AI adoption and resilience of the maritime supply chain. The research method utilized was a cross-sectional survey which uses quantitative empirical research design. The primary data obtained were 268 responses from MSME exporters of maritime trade between India and Thailand. The collected data were analysed using a software tool called a Partial Least Squares (PLS) and a Software Statistical Package (SPSS) version 29 (SmartPLS 4). The results indicate that the use of AI has a positive and significant impact on maritime supply chain resilience. Perceived usefulness and technological readiness emerged as significant factors affecting AI adoption, and digital integration and organization's adaptability as factors affecting maritime supply chain resilience. AI-powered solutions like predictive analytics, intelligent cargo tracking, route optimization, and automated logistics systems are pivotal in bolstering the operational continuity and resilience of maritime supply chains, as emphasized in the study. The research has theoretical contributions by building on TAM and Dynamic Capability Theory and applying them to the maritime logistics context and implications for MSMEs, policy makers and maritime authorities on digital transformation and the resilient maritime trade systems. The study provides a comprehensive overview of the role of AI in maritime supply chains for achieving greater competitiveness and sustainability in new global trade contexts.