JobBreak

Farming, Fishing, and Forestry · United States (national)

Fishing and Hunting Workers

How exposed this work is to automation, shown as ranges with the reasoning and sources.

The short version: this role is moderately exposed to automation, and a near-term shift looks unlikely. It is a sourced range, not a verdict, and the detail is below.

Built on O*NET tasks, BLS pay and projections, and peer-reviewed AI-exposure research. Sources shown. Data snapshot SNAPSHOT-2026-11-06. How it works
0.9 of 100
AI / softwarerange 0.0 to 12.9
55.9 of 100
Physical / roboticsrange 43.9 to 67.9

When the change is likely

unlikely soon 0y 5y 10y 15y 20+y

Largely unaffected local demand growing

What to do about it

Use AI to outpace AI.

Strategies to protect your livelihood, most important first.

1
Stay sharp; urgency is low
This role looks durable. Keep your skills current and watch for shifts in your field.
2
Move up from the task to the system
Robotics targets the physical work. Shift toward supervising, maintaining, or programming the automation instead of competing with it.
3
Pivot toward Farmworkers, Farm, Ranch, and Aquacultural Animals
It is skill-adjacent and less exposed (40.4 vs 56). A lateral move now beats a forced one later.
4
Build a financial buffer
Keep 6 to 12 months of expenses and diversify your income, so a disruption is a setback rather than a catastrophe.
5
Add a recognised credential
A certification or license raises the bar against automation and signals value in a tightening market.

Which of my tasks are exposed

Patrol trap lines or nets to inspect settings, remove catch, and reset or relocate traps.
55.9
Obtain permission from landowners to hunt or trap on their land.
55.9
Travel on foot, by vehicle, or by equipment such as boats, snowmobiles, helicopters, snowshoes, or skis to reach hunting areas.
55.9
Steer vessels and operate navigational instruments.
55.9
Skin quarry, using knives, and stretch pelts on frames to be cured.
55.9
Maintain and repair trapping equipment.
55.9
Scrape fat, blubber, or flesh from skin sides of pelts with knives or hand scrapers.
55.9
Put fishing equipment into the water and anchor or tow equipment, according to the fishing method used.
55.9

Longer, orange bars are more automatable; short green bars are resistant.

What is driving my result

lowers risk
raises risk
Task: Patrol trap lines or nets to inspect settings, remove catch, and reset or relocate traps.
Task: Obtain permission from landowners to hunt or trap on their land.
Local demand is growing

Lower-risk adjacent roles

Farmworkers, Farm, Ranch, and Aquacultural Animals
40.4
Motorboat Operators
40.9
Captains, Mates, and Pilots of Water Vessels
51.7
Farmworkers and Laborers, Crop, Nursery, and Greenhouse
54.2

A full, ranked mitigation plan is part of the paid tiers.

How this score is calculated

  1. Map Fishing and Hunting Workers to its standard O*NET task list (8 core tasks).
  2. Score each task for AI/software exposure (Eloundou et al. 2023) and physical/robotics exposure (an O*NET work-context proxy), each 0 to 100.
  3. The two axis scores are the task averages: AI 0.9, robotics 55.9.
  4. The timeline comes from the higher axis (55.9), shifted for local demand (growing), and seniority. It is read against your remaining working years.
  5. Ranges are about ±12 points. A backtest against real BLS employment change shows the risk ranking holds in aggregate, but individual outcomes are predicted weakly, so results are ranges, never a flat verdict.

Sources: O*NET, Eloundou et al. (2023), GPTs are GPTs, O*NET Work Context, BLS CPI-U, BLS OEWS. Snapshot SNAPSHOT-2026-11-06. Full method and backtest on How it works.

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