Transportation and Material Moving · United States (national)
Motorboat Operators
How exposed this work is to automation, shown as ranges with the reasoning and sources.
The short version: this role is moderately exposed to automation, and a near-term shift looks unlikely.
It is a sourced range, not a verdict, and the detail is below.
Built on O*NET tasks, BLS pay and projections, and peer-reviewed AI-exposure research. Sources shown.
Data snapshot SNAPSHOT-2026-11-06. How it works
AI / softwarerange 0.9 to 24.9
Physical / roboticsrange 28.9 to 52.9
When the change is likely
Largely unaffectedlocal demand growing
What to do about it
Use AI to outpace AI.
Strategies to protect your livelihood, most important first.
1
Stay sharp; urgency is low
This role looks durable. Keep your skills current and watch for shifts in your field.
2
Build a financial buffer
Keep 6 to 12 months of expenses and diversify your income, so a disruption is a setback rather than a catastrophe.
3
Add a recognised credential
A certification or license raises the bar against automation and signals value in a tightening market.
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Which of my tasks are exposed
Operate engine throttles and steering mechanisms to guide boats on desired courses.
40.9
Direct safety operations in emergency situations.
40.9
Secure boats to docks with mooring lines, and cast off lines to enable departure.
40.9
Maintain desired courses, using compasses or electronic navigational aids.
40.9
Organize and direct the activities of crew members.
100.0
Follow safety procedures to ensure the protection of passengers, cargo, and vessels.
100.0
Maintain equipment such as range markers, fire extinguishers, boat fenders, lines, pumps, and fittings.
40.9
Report any observed navigational hazards to authorities.
50.0
Longer, orange bars are more automatable; short green bars are resistant.
What is driving my result
lowers risk
raises risk
Task: Organize and direct the activities of crew members.
Task: Follow safety procedures to ensure the protection of passengers, cargo, and vessels.
Local demand is growing
How this score is calculated
Map Motorboat Operators to its standard O*NET task list (8 core tasks).
Score each task for AI/software exposure (Eloundou et al. 2023) and physical/robotics exposure (an O*NET work-context proxy), each 0 to 100.
The two axis scores are the task averages: AI 12.9, robotics 40.9.
The timeline comes from the higher axis (40.9), shifted for local demand (growing), and seniority. It is read against your remaining working years.
Ranges are about ±12 points. A backtest against real BLS employment change shows the risk ranking holds in aggregate, but individual outcomes are predicted weakly, so results are ranges, never a flat verdict.
Sources: O*NET, Eloundou et al. (2023), GPTs are GPTs, O*NET Work Context, BLS CPI-U, BLS OEWS.
Snapshot SNAPSHOT-2026-11-06. Full method and backtest on How it works.