AI is Unlikely to Kill These 22 Maritime Jobs – It May Make Them Wildly More Valuable by 2030

Overall command of the vessel, cargo, crew and commercial performance. AI supports routing, collision avoidance and documentation, but liability and final decisions still sit with the master – especially on high-value, high-risk trades.

Turns voyage plans into workable cargo and stability plans, runs the safety culture on board, and increasingly manages emissions and CII performance in daily operations. AI can optimise stowage and trim, but someone still has to sign for cargo, stability and deck-side risk.

Owns propulsion, fuel efficiency and machinery availability. AI-driven condition monitoring and digital twins flag issues earlier, but they still need a chief to interpret alarms, approve interventions and keep the ship trading.

Keeps the digital nervous system of the ship alive – power electronics, networks, sensors, automation and cyber-resilience. As more AI is layered onto onboard systems, the ETO is the person who makes sure the data and hardware actually work.

Keeps vessels locked on position for drilling, cable-laying, heavy-lift and offshore wind. AI can support thruster control and risk prediction, but a certified DPO still has to interpret the situation, authorise actions and handle failures.

Specialises in bunkering, fuel quality, boil-off, safety envelopes and emissions rules for LNG, methanol and ammonia. AI can help monitor risks and optimise consumption, but physical operations and incident response stay firmly human.

As higher levels of automation and MASS trials roll out, many watchkeeping tasks move into shore-based control rooms. ROC operators oversee multiple vessels, monitor AI systems, and step in when something looks wrong or a manual decision is needed.

Sits at the intersection of technical, commercial and data. Uses AI and analytics to tune speed, trim, routing, hull condition and engine settings across an entire fleet – and then translate that into cash and CII scores.

Works behind AI-driven routing tools and port-call platforms, blending forecasts, congestion data, charter-party terms and bunker prices into practical route choices. The AI proposes options; the analyst decides what is acceptable for safety, TCE and emissions.

Sits at the junction of ship, port and office. Handles vetting, incident investigations, mooring and terminal issues, local regulations and the messy human parts that AI platforms cannot cleanly solve.

Turns sensor data, AI alerts and class requirements into practical maintenance plans. Instead of fixed-interval overhauls, this role uses condition monitoring and digital twins to time drydocks, arrange riding squads and keep ships trading with minimal surprises.

Designs the company’s path through CII, EU ETS, FuelEU Maritime and future IMO rules. Combines technical options (retrofits, new fuels, newbuilds) with commercial strategy, finance and customer pressure to build a realistic decarbonisation plan.

Owns emissions reporting, allowance planning and cost allocation across fleets and charter-parties. Uses AI dashboards and MRV data, but remains accountable for data quality, audits and who ultimately pays for carbon on each voyage or trade.

Structures loans, leases and bonds where pricing is linked to emissions and efficiency. Uses climate and performance models, but must understand ships, regulations and credit to set realistic KPIs that both banks and owners can live with over a 5–10 year horizon.

Designs and maintains the Safety Management System and procedures that crews actually follow. Uses AI tools to draft, search and analyse incidents, but stays responsible for keeping the SMS realistic, compliant and aligned with how ships really operate.

Uses port-call and PCS platforms to get ships, terminals, pilots, tugs, trucks and customs working from the same data. AI predicts congestion and delays, but this role negotiates the reality: who moves when, and how to cut idle time without upsetting local stakeholders.

Oversees algorithms and operating rules for automated cranes, yard blocks and truck gates. AI helps forecast flows and suggest plans, but humans still design rules, manage labour agreements and handle disruptions like storms, strikes or vessel bunching.

Protects shipboard and port operational technology from ransomware, spoofing and other cyber risks. AI can help detect anomalies, but someone still has to design architecture, run drills, talk to class and insurers, and manage real incidents at 03:00 UTC.

Uses casualty data, near-miss reports and site visits to reduce claims. AI can surface patterns, but this role turns them into practical guidance, seminars and checklists that crews and shore staff will actually follow under pressure.

Reviews counterparties, vessels and trades for sanctions and financial crime risk. AI helps with screening and vessel behaviour analytics, but contentious cases still need human judgment on beneficial ownership, flags of convenience and deceptive patterns.

Designs and runs bridge, engine-room and port simulations that mirror AI-rich, highly automated environments. Helps crews and shore staff learn how to work with decision-support tools, understand new failure modes and maintain situational awareness when automation is doing more of the routine work.

Acts as the “glue” between seafarers, charterers, port captains, engineers and data/AI teams. Chooses which real problems to attack with AI, defines data products, and makes sure tools are usable, trusted and actually change behaviour across fleets and offices.