Share and intensity of work current AI systems can materially affect.
SOC 49-3051
Motorboat Mechanics AI displacement risk
Motorboat mechanics maintain and repair outboard and inboard engines, then test them under way on the water. Engine diagnostic software reads fault codes, but marine environments corrode everything differently, and verifying a repair means running the boat — a test no bench simulator fully replicates.
Likely potential for exposed tasks to move to software after workflow integration.
Salt, vibration, and intermittent use create failure patterns that reward experience over algorithms. Seasonal demand concentrates the work, and certified marine technicians are scarce in every coastal market.
Distribution
Where Motorboat Mechanics sits across 620 tracked roles
Displacement pressure 16 — higher than 14% of the 620 occupations tracked on displacement.ai.
Score version
This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-15. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.
13 O*NET task statements matched to SOC 49-3051. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $57,550 (May 2025, US national). The latest BLS row matched SOC 49-3051.
Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.
2030 economic stress test
How Anthropic's scenarios classify Motorboat Mechanics
SOC 49-3051 places this role in the paper's all-other occupation group. These group-level outcomes do not change the 16/100 role score and are not an occupation forecast.
+1.1% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +1.6% GDP and 3.9% unemployment.
+5.9% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +8.3% GDP and 4.6% unemployment.
+33.6% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +32.4% GDP and 11.9% unemployment.
Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.
Official task evidence
O*NET task matches for Motorboat Mechanics
The current evidence import matched 13 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.
Dataset31.0 (August 2026)
Matched tasks13
SOC49-3051
- Core task / ID 13764
Start motors and monitor performance for signs of malfunctioning, such as smoke, excessive vibration, or misfiring.
- Core task / ID 13765
Document inspection and test results and work performed or to be performed.
- Core task / ID 13763
Mount motors to boats, and operate boats at various speeds on waterways to conduct operational tests.
- Core task / ID 13770
Repair engine mechanical equipment, such as power tilts, bilge pumps, or power take-offs.
- Core task / ID 20801
Perform routine engine maintenance on motorboats, such as changing oil and filters.
- Core task / ID 13766
Replace parts, such as gears, magneto points, piston rings, or spark plugs, and reassemble engines.
Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.
Task profile
Where AI changes the work
Repair engine mechanical equipment such as bilge pumps
Exposure 20, automation 8%, augmentation 38%.
O*NET evidence: Repair engine mechanical equipment, such as power tilts, bilge pumps, or power take-offs. (ID 13770)
Test and inspect engines to determine malfunctions
Exposure 32, automation 14%, augmentation 50%.
Operate boats at various speeds to conduct tests
Exposure 22, automation 9%, augmentation 40%.
O*NET evidence: Mount motors to boats, and operate boats at various speeds on waterways to conduct oper... (ID 13763)
Document inspection results and work performed
Exposure 50, automation 27%, augmentation 56%.
O*NET evidence: Document inspection and test results and work performed or to be performed. (ID 13765)
TaskExposureAutomationAugmentation
Repair engine mechanical equipment such as bilge pumps208%38%
Test and inspect engines to determine malfunctions3214%50%
Operate boats at various speeds to conduct tests229%40%
Document inspection results and work performed5027%56%
Transition pathways
Adjacent moves that preserve existing skills
credentialed transition
LowMaster Marine Technician
Training horizon: 12-24 months. Skill overlap 62. Wage preservation signal 122.
- Earn manufacturer certifications
- Add electrical and rigging skills
- Lead complex diagnostics
role redesign
LowMarina Service Manager
Training horizon: 6-12 months. Skill overlap 64. Wage preservation signal 118.
- Run service scheduling
- Manage seasonal workflows
- Own customer estimates
Comparison guides
Compare the next move before you commit
12-24 months
Motorboat Mechanics to Master Marine Technician
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Motorboat Mechanics into Master Marine Technician.
6-12 months
Motorboat Mechanics to Marina Service Manager
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Motorboat Mechanics into Marina Service Manager.
What the AI risk score means for Motorboat Mechanics
The displacement pressure score for Motorboat Mechanics is 16. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.
For this role, the clearest risk pattern is visible at the task level. Document inspection results and work performed carries 27% automation pressure, while Document inspection results and work performed carries 56% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.
Labor-market context and wage risk
Median wage: $57,550 (May 2025, US national). Employment context: Marine repair role tested on the water. Typical education: High school plus marine-mechanic training.
Wage vulnerability is 40, while transition feasibility is 58. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.
- Low displacement pressure
- Diagnostic software reads codes only
- Marine corrosion defeats algorithms
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Motorboat Mechanics, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.
Marine engine diagnostics
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
On-water testing
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Corrosion repair
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Service documentation
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
90-day transition plan
The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.
- In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
- By 60 days, complete one small project connected to Master Marine Technician, such as earn manufacturer certifications.
- By 90 days, compare internal openings and external postings for Master Marine Technician or Marina Service Manager and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Motorboat Mechanics
Will AI replace Motorboat Mechanics?
Motorboat mechanics maintain and repair outboard and inboard engines, then test them under way on the water. Engine diagnostic software reads fault codes, but marine environments corrode everything differently, and verifying a repair means running the boat — a test no bench simulator fully replicates. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.
Which parts of Motorboat Mechanics work are most exposed to AI?
Document inspection results and work performed and Test and inspect engines to determine malfunctions show the strongest automation pressure in this model. Document inspection results and work performed and Test and inspect engines to determine malfunctions are better treated as AI-augmented work.
What should Motorboat Mechanics learn next?
Start with Marine engine diagnostics, On-water testing, Corrosion repair. The most practical adjacent paths in this model are Master Marine Technician and Marina Service Manager.
How should this score be used?
Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.
Sources
Evidence trail
OECD / 11 July 2023OECD Employment Outlook 2023: Artificial Intelligence and the Labour MarketO*NET Resource Center / Database 31.0 (August 2026)Occupation, Task, Skill, and Work-Activity DataUS Bureau of Labor Statistics / May 2025 estimates (released 15 May 2026)Occupational Employment and Wage Statistics