Maritime Disruption Map 2026–2035: Applying the Kshetra-Astra Framework to Global Shipping and Port Operations

The Kshetra-Astra framework, established in Papers 44 and 45 of this series and empirically validated across 83 civilisational cases in Paper 50, has thus far been applied at a civilisational scale. This paper applies it with domain precision to the maritime industry — global shipping and port operations — where the author brings a dual vantage point unavailable to most disruption researchers: three decades as a serving deck officer and ship master, and the subsequent years designing AI systems for the industry from which he came. Seven disruption layers are scored against the formal five-component framework: Electronic Bill of Lading, AI-Assisted Navigational Decision Support, Green Fuel Transition, Autonomous and Remotely Controlled Tonnage, Parametric and AI-Driven Marine Insurance, Port Automation, and Freight Rate Prediction AI. Scoring results: three FOLLOWS, three PARTIAL, one DIVERGES. The single diverging case — Maritime Autonomous Surface Ships (MASS) — yields this paper's primary theoretical contribution: a new framework condition, KSH-MAR-001 (Multi-Jurisdictional Regulatory Sovereignty, MJRS), formally proposed for adoption into the Kshetra Vigyan condition set. MJRS holds that when a gate is simultaneously owned by four or more sovereign legal bodies — flag state, port state, coastal state, and international convention — no single Astra can collapse it, regardless of the Astra's technical maturity. The disruption clock slows by 5–15 years beyond technology readiness. This condition is absent from the 83-case corpus because no prior disruption case in that corpus encountered a four-layer sovereign gate. Maritime autonomous tonnage is the first documented case in the framework's history. A disruption timeline prediction table for 2026–2035 is provided, incorporating PRAMANA knowledge integrity requirements [DOI 10.5281/zenodo.19273330] for maritime AI systems handling safety-critical data chains. Keywords: maritime disruption, electronic bill of lading