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AI exposure score

Pile Driver Operators

Pile Driver Operators score 0 out of 100, which is low exposure to AI. That ranks #876 of 923 US occupations, where #1 is the most exposed. Of the 5 tasks in this job, AI could speed up 0 on its own and 0 more with extra software built on top of it. None of its tasks showed up in real AI use in April–May 2026.

0/ 100
Low
Rank
#876of 923 jobs
US workers
2,310BLS, May 2025
Median pay
$73,300a year
In real AI use
0 of 5tasks, April–May 2026

Task by task

Each task this job involves, as listed by O*NET, rated on whether a large language model like GPT-4 could cut the time it takes by at least half at the same quality. Tasks marked Seen in real AI use appeared in conversations with Claude in April–May 2026 (Anthropic Economic Index).

  • AI can speed this up on its own: 0 (0%)
  • AI can speed this up with extra software: 0 (0%)
  • Little or no AI speed-up: 5 (100%)
  • Move hand and foot levers of hoisting equipment to position piling leads, hoist piling into leads, and position hammers over pilings.Little or no AI speed-up · core task
  • Move levers and turn valves to activate power hammers, or to raise and lower drophammers that drive piles to required depths.Little or no AI speed-up · core task
  • Drive pilings to provide support for buildings or other structures, using heavy equipment with a pile driver head.Little or no AI speed-up · core task
  • Conduct pre-operational checks on equipment to ensure proper functioning.Little or no AI speed-up · core task
  • Clean, lubricate, and refill equipment.Little or no AI speed-up · core task

Similar jobs, lower exposure

Related occupations that score at least 10 points lower.

This job is already among the least exposed in its field.

Other jobs in this field

Construction and Extraction occupations close to this one.

How to read this score. Exposure measures how much of the work AI could speed up, not whether the job will disappear. A highly exposed job can change shape, with people spending less time on routine tasks and more on the rest. The score counts tasks AI can speed up on its own in full, and tasks that need extra software at half weight.

The ratings come from published research based on GPT-4 (2023). To show what's happening now, each task is also checked against the latest Anthropic Economic Index, which records which tasks people actually use AI for. That data is refreshed automatically when Anthropic publishes a new release. Read the full method.

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