Will AI replace Fishing and Hunting Workers?
Estimated risk score: 14 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 33).
For the occupation as a whole, from ratings of its 30 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 45-3031.00 · Farming, Fishing, and Forestry
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: 1 of its 30 rated tasks. In O*NET’s words.
- Compute positions and plot courses on charts to navigate vessels, using instruments such as compasses, sextants, and charts.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 27 of its 30 rated tasks; the first 6 are shown. In O*NET’s words.
- Attach nets, slings, hooks, blades, or lifting devices to cables, booms, hoists, or dredges.
- Connect accessories such as floats, weights, flags, lights, or markers to nets, lines, or traps.
- Kill or stun trapped quarry, using clubs, poisons, guns, or drowning methods.
- Load and unload vessel equipment and supplies, by hand or using hoisting equipment.
- Maintain and repair trapping equipment.
- Maintain engines, fishing gear, and other on-board equipment and perform minor repairs.
What the job is
Hunt, trap, catch, or gather wild animals or aquatic animals and plants. May use nets, traps, or other equipment. May haul catch onto ship or other vessel.
Also called: Trapper, Nuisance Trapper, Lobster Fisherman, Eeler, Choker, Dulser, Hunter, Netter.
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