Will AI replace Pile Driver Operators?
AI reaches little of this job’s work.
0/100
Low exposure
More exposed to AI than 2% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 0% of the work
What the job involves
Operate pile drivers mounted on skids, barges, crawler treads, or locomotive cranes to drive pilings for retaining walls, bulkheads, and foundations of structures such as buildings, bridges, and piers.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Out of reach(5)
- Drive pilings to provide support for buildings or other structures, using heavy equipment with a pile driver head.
- Conduct pre-operational checks on equipment to ensure proper functioning.
- Move levers and turn valves to activate power hammers, or to raise and lower drophammers that drive piles to required depths.
- Move hand and foot levers of hoisting equipment to position piling leads, hoist piling into leads, and position hammers over pilings.
- Clean, lubricate, and refill equipment.
Also called
Pile Driver Operator · Hoisting Pile Driving Engineer · Pile Driver Engineer · Pile Driving Nozzleman · Pile Driver · Pile Driving Operator · Diesel Pile Hammer Operator · Driving Inspector
Related jobs
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics