Will AI replace First-Line Supervisors of Helpers, Laborers, and Material Movers, Hand?
Estimated risk score: 45 out of 100
Moderate 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 (26 to 64).
For the occupation as a whole, from ratings of its 24 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 53-1042.00 · Transportation and Material Moving
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: 3 of its 24 rated tasks. In O*NET’s words.
- Prepare and maintain work records and reports of information such as employee time and wages, daily receipts, or inspection results.
- Quote prices to customers.
- Schedule times of shipment and modes of transportation for materials.
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 24 rated tasks; the first 6 are shown. In O*NET’s words.
- Perform the same work duties as those supervised, or perform more difficult or skilled tasks or assist in their performance.
- Check specifications of materials loaded or unloaded against information contained in work orders.
- Collaborate with workers and managers to solve work-related problems.
- Conduct staff meetings to relay general information or to address specific topics, such as safety.
- Counsel employees in work-related activities, personal growth, or career development.
- Examine freight to determine loading sequences.
What the job is
Directly supervise and coordinate the activities of helpers, laborers, or material movers, hand.
Also called: Receiving Supervisor, Dock Boss, Gang Boss, Chute Boss, Hatch Boss, Yard Foreman, Hub Supervisor, Hatch Supervisor.
Closest jobs we score by hand
In the same field (Transportation and Material Moving). 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