<![CDATA[This paper examines how artificial intelligence (AI) could be integrated with sustainable maritime transportation and fisheries governance to support Indonesia’s blue economy. It develops a conceptual extension of the Drivers–Pressures–State–Impact–Response (DPSIR) framework using secondary statistics in Indonesia’s official Statistics of Marine and Coastal Resources 2023 (BPS SDLP 2023) and traceable maritime, environmental and policy literature. Reported fishery gross domestic product at current prices grew from IDR 385.9 trillion in 2018 to IDR 505.1 trillion in 2022, while 2022 fishery exports reached 1,224,060 tonnes and US$6.242 billion [1]. The 2022 marine capture fleet comprised 893,258 craft, of which 100,109 were non-powered and 429,113 were outboard-motor boats [1]. An AI-enabled architecture is proposed for vessel monitoring, satellite-image analysis, route decision support and conservation surveillance. These functions are mapped to DPSIR response mechanisms, but have not been experimentally implemented or validated in this study. The findings therefore concern documented sector conditions and a research-informed integration framework, not demonstrated AI-derived fuel savings or environmental impacts.]]>
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