Fishing and Hunting Workers
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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.
The occupation "Fishing and Hunting Workers" has an automation risk of 26.4%, only slightly lower than its calculated base risk of 26.7%. This relatively modest risk level is driven by the variable nature of the required tasks and the environmental unpredictability inherent to the occupation. While there are certain routine or repetitive elements involved, many aspects of fishing and hunting work demand adaptability, navigation of natural terrain, and on-the-spot problem-solving. These workers must rely not only on physical labor but also on interpersonal skills, especially when interacting with landowners and other external parties. Such dynamic work conditions make broad automation of the occupation a complex challenge. The most automatable tasks within this occupation are those that can be standardized or involve repetitive procedures. For example, patrolling trap lines or nets to inspect, remove catch, and reset is a process that could potentially be handled by drones or automated machinery. Obtaining permission from landowners may be partially streamlined through digital communication systems. Travel to hunting areas, whether by foot or using vehicles, can also be optimized with autonomous transport technology in some cases. However, the rugged and unpredictable environments often limit the practicality and feasibility of full automation, especially in remote or harsh locations. Conversely, several core tasks are highly resistant to automation because they require judgment, oversight, and nuanced human input. Overseeing the purchase of supplies, gear, and equipment involves decision-making and negotiation skills that are difficult for machines to replicate. Directing fishing or hunting operations and supervising crew members demand leadership, real-time assessment, and adaptive management. Moreover, harvesting marine life using various specialized methods requires dexterity, experiential knowledge, and quick adaptability to changing conditions. Bottleneck skills such as originality—scored at 2.3% and 2.0%—highlight the importance of creative problem-solving and novel approaches in this occupation. These low percentages indicate that tasks reliant on originality are less likely to be replaced by automation, further preserving the necessity for human workers in the field.