Headline risk
14%
Low RiskSeptic tank servicers and sewer pipe cleaners
United States AI Work Index tracks this occupation on the shared structural baseline and then layers on local demand resilience, wages, and confidence.
Why This Score
Share of job tasks that overlap with current AI capabilities
Median annual wage
Projected employment change over 10 years
Typical preparation needed for this occupation
Occupation profile
Clean and repair septic tanks, sewer lines, or drains. May patch walls and partitions of tank, replace damaged drain tile, or repair breaks in underground piping.
Task evidence
100% weighted task match · 0% effective coverage
Scores combine AI task overlap, human advantages, and local demand. How it works
United States Now
Median Wage
USD 49,140
Employment 2024
30.4K
Projected Change (2024–34)
7.6%
Openings (2024–34)
2.9K
Wage distribution
Demand outlook
Projections published, but no prose outlook available.
Role Profile
Tasks
- 1. Drive trucks to transport crews, materials, and equipment. AI use: 0%
- 2. Communicate with supervisors and other workers, using equipment such as wireless phones, pagers, or radio telephones. AI use: 0%
- 3. Clean and repair septic tanks, sewer lines, or related structures such as manholes, culverts, and catch basins. AI use: 0%
- 4. Service, adjust, and make minor repairs to equipment, machines, and attachments. AI use: 0%
- 5. Operate sewer cleaning equipment, including power rodders, high-velocity water jets, sewer flushers, bucket machines, wayne balls, and vac-alls. AI use: 0%
- 6. Inspect manholes to locate sewer line stoppages. AI use: 0%
Technologies
Requirements
Work context
Worker profile
Median age 46.7 · 2.3M employed
Under 25: 12% · 25–54: 55% · 55+: 33%
Related
Source coverage
11/11 source families · O*NET 30.2 / OEWS 2024 / ORS 2025 / OOH 2025-08-28 / Projections 2024-34 / CPS 2025 / Anthropic task penetration
Mapping quality
title_match · employment series present
Narrative & sources
Published limitations
This page shows the local country layer, not realised individual job outcomes. The global structural baseline is shared across countries; only the local demand and wage layer changes here.
Built from O*NET occupation descriptions, task statements, technology skills, work context, Job Zones, Anthropic task penetration, BLS OEWS wages, BLS projection tables, BLS ORS requirements, BLS OOH narrative content, BLS skills data, and BLS CPS occupation age tables.