Automotive and Watercraft Service Attendants vs Maintenance Workers, Machinery
Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index
A factual, source-backed comparison of Automotive and Watercraft Service Attendants and Maintenance Workers, Machinery on the dimensions both occupations carry. Every figure is a position within an independent published dataset — not a verdict on which job is better, safer, or more “future-proof.”
At a glance
| Dimension | Automotive and Watercraft Service Attendants | Maintenance Workers, Machinery |
|---|---|---|
| Median pay | $34,850 | $60,500 |
| Employment | 98,270 | 56,540 |
| Employment outlook (2024–34) · BLS projection | Declining (-1.0%) | Declining (-2.8%) |
| Annual openings · BLS projection | 14,400 | 4,800 |
| Typical education · O*NET | Usually requires a high school diploma or GED, though some occupations may not. | Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree. |
| AI exposure · published exposure studies | Low · 9th pct | Low · 30th pct |
| Global GenAI gradient · ILO ISCO-08 · via crosswalk | 44th pct · 24% of tasks | 24th pct · 17% of tasks |
| Observed AI use · Anthropic Economic Index | Augmentation-leaning (22.3%) | — |
| Mostly remote-capable · Dingel–Neiman | No | No |
Pay and employment are BLS OEWS estimates; outlook and openings are BLS 2024–2034 projections; AI exposure and observed-use figures come from separate research and reflect exposure and usage, not predictions that either job will disappear. Compare like with like.
Skills
Shared: Mechanical, Administration and Management, Oral Expression, Manual Dexterity, Finger Dexterity, Control Precision, Trunk Strength, Near Vision, Active Listening, Speaking, Operation and Control, Time Management, Deductive Reasoning, Information Ordering, Arm-Hand Steadiness, Multilimb Coordination, Static Strength, Extent Flexibility, Critical Thinking, Coordination, Complex Problem Solving, Equipment Maintenance, Repairing, Judgment and Decision Making, Problem Sensitivity, Visualization, Engineering and Technology, Education and Training.
Specific to Automotive and Watercraft Service Attendants
- Customer and Personal Service
- Sales and Marketing
- Oral Comprehension
- Mathematics
- Service Orientation
- Stamina
- Speech Recognition
- Administrative
Specific to Maintenance Workers, Machinery
- Operations Monitoring
- Troubleshooting
- Production and Processing
- Quality Control Analysis
- English Language
- Design
- Reading Comprehension
- Inductive Reasoning
Knowledge, skills & abilities O*NET rates as important for each occupation. “Shared” are common to both; the columns list what is distinctive to each (top by the order O*NET surfaces).
Tools & technology
Shared: Internet browser software , Spreadsheet software , Electronic mail software .
Specific to Automotive and Watercraft Service Attendants
Full profiles
This page is a summary. See the complete source-backed profile for Automotive and Watercraft Service Attendants or Maintenance Workers, Machinery — tasks, the full skill graph, tools, work context, preparation, wages by percentile, industries, AI exposure and the AI work map.
More comparisons
Related occupations you can place side by side on the same sourced scale.
- Automotive and Watercraft Service Attendants vs Automotive Service Technicians and Mechanics
- Automotive and Watercraft Service Attendants vs Pump Operators, Except Wellhead Pumpers
- Automotive and Watercraft Service Attendants vs Cleaners of Vehicles and Equipment
- Automotive and Watercraft Service Attendants vs Home Appliance Repairers
- Automotive and Watercraft Service Attendants vs Bus and Truck Mechanics and Diesel Engine Specialists
- Automotive and Watercraft Service Attendants vs Rail Car Repairers
- Automotive and Watercraft Service Attendants vs Aircraft Service Attendants
- Automotive and Watercraft Service Attendants vs Control and Valve Installers and Repairers, Except Mechanical Door
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- Microsoft “Working with AI” working-with-ai Microsoft Research
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
- Frey & Osborne (2013) frey-osborne-automation academic
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Automotive and Watercraft Service Attendants vs Maintenance Workers, Machinery." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/compare/automotive-and-watercraft-service-attendants-vs-maintenance-workers-machinery
Singulariki. (2026). Automotive and Watercraft Service Attendants vs Maintenance Workers, Machinery. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/automotive-and-watercraft-service-attendants-vs-maintenance-workers-machinery
@misc{singulariki-automotive-and-watercraft-service-attendants-vs-maintenance-workers-machinery,
title = {Automotive and Watercraft Service Attendants vs Maintenance Workers, Machinery},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/compare/automotive-and-watercraft-service-attendants-vs-maintenance-workers-machinery}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.