As of July 2026, Dredge Operators has an AI-exposure score of 39/100 (Low exposure) on the AI-Safe Careers index. This is an estimate of task exposure, not a prediction of job loss.
Score inputs for this role: This role starts from O*NET 29.1 occupational descriptors and is empirically grounded by Penn/OpenAI GPTs are GPTs study, Felten, Raj and Seamans AIOE index. BLS labor-market figures are separate context, not score inputs.

AI Exposure Score for

Dredge Operators

39/100
Low exposure
LowModerateElevatedHighVery High

More exposed than 8% of the roles we track. Median pay ~US$49,640. About 100 projected openings a year (BLS 2024–34 - growth plus replacement).

Pay & demand figures are US medians (BLS, in USD) - your local figures will differ. Your exposure score applies broadly.

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Data sources, not endorsements: O*NET and curated role data; empirical AI signals where matched; BLS employment, pay, and demand as separate context.Methodology Data sources
Role snapshot

What this role usually involves

O*NET 29.1 exact occupation

Operate dredge to remove sand, gravel, or other materials in order to excavate and maintain navigable channels in waterways.

Common titles
Dredge OperatorDredger
O*NET job-zone preparation
Job Zone 2 · Some Preparation Needed These occupations usually require a high school diploma. Some previous work-related skill, knowledge, or experience is usually needed.

Broad guidance for this preparation level; exact requirements vary by role and employer.

Skills and knowledge
Operation and ControlCoordinationCritical ThinkingJudgment and Decision MakingMechanicalEnglish Language
Tools and technology
Global positioning system GPS softwareHYPACK DREDGEPACKProgrammable logic controller PLC softwareTeledyne Odom Hydrographic ODOM eChartTrimble HYDROproWeb browser software
Work context
Face-to-face discussionsFrequent contact with othersDecision latitudeConsequence of errorTelephone

Source: O*NET 29.1 exact occupation - Dredge Operators, SOC 53-7031.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.

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Dredge Operators tasks, by AI exposure

Automatable

No automatable tasks identified for this role - its real, individually-assessed tasks consistently read as augmentable (50%).

Augmentable
  • Pump water to clear machinery pipelines.
  • Lower anchor poles to verify depths of excavations, using winches, or scan depth gauges to determine depths of excavations.
1 more augmentable task locked in the report.
Durable
  • Start power winches that draw in or let out cables to change positions of dredges, or pull in and let out cables manually.
  • Move levers to position dredges for excavation, to engage hydraulic pumps, to raise and lower suction booms, and to control rotation of cutterheads.
1 more durable task locked in the report.

We analyzed all 6 Dredge Operators tasks - 3 augmentable and 3 durable. The full task map - every task with exactly what to do about each - is in your Career Report.

Your report unlocks three concrete artifacts

Full task map

Every task scored with what to automate, augment, or protect.

Adjacent path comparison

Related roles with exposure deltas, salary, demand, and reachability. Lower-exposure options appear only when the data supports them.

30/60/90 plan + PDF

A keepable roadmap plus resume and LinkedIn repositioning.

Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate - not generic advice.

Adjacent career paths

This role is already among lower-exposure work. The adjacent paths below are shown for opportunity and skill transfer, not as lower-exposure alternatives.

Hoist and Winch Operators
80% skills overlap; 4 points higher - similar exposure within the 5-point model resolution; Moderate band; ~US$56,450
View path
43
7 more adjacent paths with exposure deltas, salary, demand, and reachability in your Career Report.
Agent Reality Check (on-site workflow preview)

Pump water to clear machinery pipelines.

Check what deployed AI agents can attempt on tasks like this using dated capability evidence. You review the real task before any analysis runs.
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Your AI-Safe Career Report

Every task scored with what to do about it; adjacent paths with honest exposure deltas, salary, demand, and reachability; a skill-gap map; a 30/60/90-day roadmap; Agent Reality Check; plus a résumé and LinkedIn rewrite and professional PDF.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate.

Workers with AI skills earn a roughly 62% wage premium - adapting pays. - PwC Global AI Jobs Barometer, 2026

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Important: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.