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Highway Maintenance Workers vs Paving, Surfacing, and Tamping Equipment Operators

Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index

A factual, source-backed comparison of Highway Maintenance Workers and Paving, Surfacing, and Tamping Equipment Operators 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.”

Highway Maintenance Workers Paving, Surfacing, and Tamping Equipment Operators
Median pay · BLS OEWS
$49,070
$51,650
Employment · BLS OEWS
151,750
45,680
AI exposure (percentile) · task overlap, not automation
3rd pct
1st pct

At a glance

Dimension Highway Maintenance Workers Paving, Surfacing, and Tamping Equipment Operators
Median pay $49,070 $51,650
Employment 151,750 45,680
Employment outlook (2024–34) · BLS projection About average (+3.0%) About average (+3.2%)
Annual openings · BLS projection 12,300 4,000
Typical education · O*NET Usually requires a high school diploma or GED, though some occupations may not. Usually requires a high school diploma or GED, though some occupations may not.
AI exposure · published exposure studies Low · 3rd pct Low · 1st pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 2nd pct · 9% of tasks 11th pct · 13% of tasks
Observed AI use · Anthropic Economic Index — —
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: Control Precision, Multilimb Coordination, Operation and Control, Operations Monitoring, Oral Comprehension, Problem Sensitivity, Arm-Hand Steadiness, Static Strength, Manual Dexterity, Near Vision, Building and Construction, Monitoring, Coordination, Oral Expression, Information Ordering, Visualization, Selective Attention, Finger Dexterity, Response Orientation, Reaction Time, Trunk Strength, Extent Flexibility, Far Vision, Active Listening, Speaking, Deductive Reasoning, Time Sharing, Rate Control.

Specific to Highway Maintenance Workers

  • Public Safety and Security
  • English Language
  • Transportation
  • Auditory Attention
  • Flexibility of Closure
  • Stamina
  • Education and Training
  • Complex Problem Solving

Specific to Paving, Surfacing, and Tamping Equipment Operators

  • Mechanical
  • Critical Thinking
  • Troubleshooting
  • Repairing
  • Depth Perception
  • Speech Recognition
  • Speech Clarity
  • Equipment Maintenance

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: Spreadsheet software , Office suite software , Electronic mail software , Data base user interface and query software .

Specific to Highway Maintenance Workers

Specific to Paving, Surfacing, and Tamping Equipment Operators

Full profiles

This page is a summary. See the complete source-backed profile for Highway Maintenance Workers or Paving, Surfacing, and Tamping Equipment Operators — 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.

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.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Highway Maintenance Workers vs Paving, Surfacing, and Tamping Equipment Operators." 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; 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/highway-maintenance-workers-vs-paving-surfacing-and-tamping-equipment-operators

APA

Singulariki. (2026). Highway Maintenance Workers vs Paving, Surfacing, and Tamping Equipment Operators. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/highway-maintenance-workers-vs-paving-surfacing-and-tamping-equipment-operators

BibTeX 
@misc{singulariki-highway-maintenance-workers-vs-paving-surfacing-and-tamping-equipment-operators,
  title  = {Highway Maintenance Workers vs Paving, Surfacing, and Tamping Equipment Operators},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; 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/highway-maintenance-workers-vs-paving-surfacing-and-tamping-equipment-operators}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.