AI Stole My Job

Will AI replace Roof Bolters, Mining?

Estimated risk score: 6 out of 100

Very low replacement risk

Estimate from published task research, not reviewed by a person · how we estimate

Within about 19 points for 4 in 5 of the jobs we checked (0 to 25).

For the occupation as a whole, from ratings of its 14 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.

O*NET-SOC 47-5043.00 · Construction and Extraction

Tasks rated in 2023 as ones AI could do or speed up

Tasks a GPT-4-class model could do, or do in half the time or less: 0 of its 14 rated tasks. In O*NET’s words.

None of its rated tasks.

Tasks rated in 2023 as not sped up by AI

Tasks such a model was rated as not speeding up or taking over: 14 of its 14 rated tasks; the first 6 are shown. In O*NET’s words.

  1. Drill bolt holes into roofs at specified distances from ribs or adjacent bolts.
  2. Drill test holes and test bolts for specified tension, using torque wrenches.
  3. Dust rocks after bolting.
  4. Force bolts into holes, using hydraulic mechanisms of self-propelled bolting machines.
  5. Install various types of bolts, including truss, glue, and resin bolts, traversing entire ceiling spans.
  6. Perform tests to determine if methane gas is present.

What the job is

Operate machinery to install roof support bolts in underground mine.

Also called: Roof Bolter, Roof Bolter Operator, Underground Roof Bolter, Bolt Man, Bolting Inspector, Roof Bolting Coal Miner, Bolting Machine Operator, Place Change Roof Bolter.

Closest jobs we score by hand

In the same field (Construction and Extraction). Different jobs, each scored by a person.

Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate