Medium AI Risk Slow Growth

Dredge operators

SOC Code: 53-7031

Dredge operators carries a 30% AI exposure score (Medium automation risk), with a median annual wage of $48,430 and +1.2% projected employment growth from 2024 to 2034 (BLS), affecting approximately 1,100 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
30% Medium

Proportion of tasks susceptible to AI automation (O*NET analysis)

Projected Growth
+1.2%
2024–2034 (BLS)
+0 jobs
Median Annual Wage
$48,430
BLS May 2024
How wage figures are sourced →

AI Exposure vs Industry Growth

Workforce demand by occupation Sanctioned bespoke signature viz (@signature-viz, KIZ-799) showing occupation-level workforce demand from BLS OEWS data. Pure SVG, no external dependencies.Projected Growth 2024-2034 (BLS)Technology+12.8%Healthcare+10.2%Professional+7.8%Education+5.8%Construction+4.5%Finance+4.6%Logistics+3.2%Government+1.2%Manufacturing-2.1%Retail-3.4%
National AI Exposure
40%
Average across all occupations
Avg Wage Growth
+3.2%
Median annual wage change
High-Risk Roles
127
Occupations with >70% AI exposure

Total occupations tracked

832

Covering all SOC major groups

Data currency

2024

BLS Employment Projections

AI exposure avg

40%

Fleet-wide median across all roles

Methodology confidence 92.0%
Industry standard

Composite score weighing O*NET task data completeness, BLS projection methodology, and cross-validation with employer risk grades.

Employment Projections

1,100
Employment 2024
1,200
Projected 2034
+1.2%
Change (%)
+0
Change (jobs)

Occupation Insight

Dredge operators (SOC 53-7031) carries an AI exposure score of 30%, placing it in the Medium automation-risk tier. This score is computed from O*NET Database 30.0 task-level analysis, where each task an occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score below 40% reflects tasks anchored in physical dexterity, unstructured environments, or high-touch human interaction that current AI cannot reliably replicate.

The economic context matters alongside the risk score. BLS counted approximately 1,100 workers in this occupation in 2024, and projects a +1.2% change through 2034 — modest growth that keeps the occupation viable even as tasks evolve. Median annual compensation stands at $48,430, reflecting both skill scarcity and the value employers place on the tasks that remain difficult to automate. Entry typically requires High school diploma or equivalent, plus None of related experience.

For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes Dredge operators. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure. Pair the AI exposure score with the BLS employment projection and wage percentiles above for a complete career assessment.

Education & Entry Requirements

Typical Education
High school diploma or equivalent
Work Experience
None
On-the-Job Training
Moderate-term on-the-job training

Top Tasks (O*NET)

  1. 1. Move levers to position dredges for excavation, to engage hydraulic pumps, to raise and lower suction booms, and to control rotation of cutterheads.
  2. 2. Start and stop engines to operate equipment.
  3. 3. Start power winches that draw in or let out cables to change positions of dredges, or pull in and let out cables manually.
  4. 4. Pump water to clear machinery pipelines.
  5. 5. Lower anchor poles to verify depths of excavations, using winches, or scan depth gauges to determine depths of excavations.
  6. 6. Direct or assist workers placing shore anchors and cables, laying additional pipes from dredges to shore, and pumping water from pontoons.

Key Skills Required

  • Operation and Control
  • Operations Monitoring
  • Critical Thinking
  • Coordination
  • Judgment and Decision Making
  • Active Listening
  • Speaking
  • Monitoring
  • Troubleshooting
  • Social Perceptiveness

Knowledge Areas

  • Mechanical
  • English Language
  • Public Safety and Security
  • Administration and Management
  • Production and Processing
  • Mathematics
  • Education and Training
  • Physics
  • Engineering and Technology
  • Building and Construction

Frequently Asked Questions

Will AI replace Dredge operators?

Dredge operators has an AI exposure score of 30%, indicating a medium level of automation risk. The majority of tasks in this role require human judgment, creativity, or physical presence that AI cannot easily replicate.

What is the job outlook for Dredge operators?

According to BLS Employment Projections 2024-2034, Dredge operators is projected to grow by 1.2% over the decade. Current employment stands at approximately 1,100 workers.

What skills are needed for Dredge operators?

Key skills for Dredge operators include Operation and Control, Operations Monitoring, Critical Thinking, and others. Typical entry-level education is High school diploma or equivalent.

How much do Dredge operators earn?

The median annual wage for Dredge operators is $48,430, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.

What education is required for Dredge operators?

The typical entry-level education for Dredge operators is High school diploma or equivalent. Employers generally expect None of related work experience. On-the-job training typically involves Moderate-term on-the-job training. Requirements can vary by employer and specialization.

Which companies employ Dredge operators?

Dredge operators roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.

AI Exposure Rating

1.5
out of 5.0

Medium automation risk based on 6 analyzed tasks. Most tasks require human judgment and are resistant to automation.

Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).

Related

Data sourced from official public datasets. See our methodology for details. Retrieved and formatted by PlainWorkforce Editorial