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AI exposure Construction and extraction

Will AI replace pile driver operators?

Pile Driver Operators. US occupation 47-2072.

0.0%

of the time pile driver operators spend on their work goes on tasks where AI is already being used to do that work.of pile driver operators' working hours go on tasks AI has already started taking off their plate.

Ranked 346 of 756 US occupations. No AI use seen in the work yet, along with 410 other occupations.No handover started yet, along with 410 other occupations.

Average US job 7.7%

Among the least exposed jobs there are.Still waiting for liberation.

What AI already does for pile driver operatorsWhat pile driver operators no longer do alone

O*NET lists 5 tasks for pile driver operators. None of them shows meaningful AI use at work yet.

What it does not touch, yetWhat still needs a human

5 of the 5 tasks show no AI use at work in the data.

  • Clean, lubricate, and refill equipment.Core task
  • Conduct pre-operational checks on equipment to ensure proper functioning.Core task
  • Drive pilings to provide support for buildings or other structures, using heavy equipment with a pile driver head.Core task
  • Move hand and foot levers of hoisting equipment to position piling leads, hoist piling into leads, and position hammers over pilings.Core task
  • Move levers and turn valves to activate power hammers, or to raise and lower drophammers that drive piles to required depths.Core task

How that compares

Among the 56 construction and extraction occupations, pile driver operators rank 40. The group averages 0.4%, and its most exposed job is Structural Iron and Steel Workers at 4.9%. The average US occupation sits at 7.7%.

All 756 occupations, ranked

Level with 0.0%

  1. 346Physical Therapist Assistants 0.0%
  2. 346Physician Assistants 0.0%
  3. 346Physics Teachers, Postsecondary 0.0%

What this does and does not mean

Exposure is observed use, not a forecast. Anthropic maps work conversations with Claude onto the tasks O*NET lists for each job and asks, of the tasks AI could speed up, which are actually being used for at work. A use that does the task outright counts in full and a use that assists a person counts half. The task scores are averaged into the occupation figure by the share of time spent on each task.

A high figure means AI is already part of how this work gets done. It does not mean anyone has been replaced. Anthropic's own reading of the labour market finds no systematic rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting exposed jobs.No measurable rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting these jobs. Gap years for everyone. Labor market impacts, 5 March 2026.

Task list and titles from O*NET 31.0 by the US Department of Labor, Employment and Training Administration, used under the CC BY 4.0 licence. Scores from the Anthropic Economic Index (CC BY). Checked 1 November 2026. How the ranking works.