Will AI replace pipelayers?AI replacement risk 7% and how the work is changing
Median annual pay
$49,000
25th–75th pct. $43,980–$61,400
Top pay (est.)
$104,200
Top 10% $80,170
Pay in 5 years
$56,700est.
2031
Pay in 10 years
$65,600est.
$56,500–$76,200
Outlook score
41/100
★★☆☆☆ Below average
AI replacement risk
7%
Very low
Job growth (10 yr)
−3.1%
2,100 openings / yr
Will AI replace Pipelayers? AI replacement risk
7%
Very low
Ranked #4 safest from AI among all U.S. occupations
Very lowLowModerateHighVery high
How AI is changing this job
A written analysis for this occupation is being prepared.
AI replacement risk compares the parts of a job that are easy to hand to AI or software (processing information, documentation, repetitive computer work) with the parts that are hard to automate (physical work, working closely with people, judgment in unpredictable settings), using O*NET work activities, work context, skills and knowledge. The result is a relative position among all occupations in the country, scaled to 0–100%. Methodology →
Skills, education and requirements for Pipelayers
Key skills
O*NET skill level ratings (0–7).
Key knowledge areas
What the work involves
Handling and Moving ObjectsPerforming General Physical ActivitiesControlling Machines and ProcessesEstablishing and Maintaining Interpersonal RelationshipsMaking Decisions and Solving ProblemsCommunicating with Supervisors, Peers, or SubordinatesInspecting Equipment, Structures, or MaterialsOperating Vehicles, Mechanized Devices, or Equipment
Important abilities
Oral ComprehensionTrunk StrengthStatic StrengthControl PrecisionStaminaNear Vision
Education of workers
Training before entry
Related work experience
Job Zone 2 — some preparation needed (O*NET)
Difficulty of entry: ★★☆☆☆ Fairly easy (from education, training, experience and Job Zone)
Pay and employment figures are national statistics. Projected pay, outlook scores and AI replacement risk are estimates from the Shigoto Zukan model, not guarantees. To request a correction, use the contact form. How to read the data
Sources: BLS OEWS May 2025; BLS Employment Projections 2025–35; O*NET 31.0 Database by USDOL/ETA (CC BY 4.0), modified by Shigoto Zukan. Pay ranges, projections and scores are Shigoto Zukan estimates.