Fishing and hunting workers

What AI will never replace

Commercial fishing requires hauling heavy nets and longlines on pitching decks in rough seas, repairing gear with frozen hands, and making instant decisions about when conditions are too dangerous to continue setting. Reading subtle water conditions—current seams, bird behavior, tide changes against specific bottom structure—to locate fish is experiential knowledge built over years that no sensor array fully replicates.

AI exposure: 2/10

The core duties are highly physical and take place in unpredictable outdoor environments, requiring manual labor, mechanical repair, and real-time physical coordination. AI's impact is limited to peripheral enhancements in fish-finding sonar, GPS navigation, and regulatory data processing, but it cannot replace the physical act of hauling nets, trapping animals, or maintaining vessels.

AI advantage: 3/10

While the core work is physical and manual, AI can significantly enhance the 'knowledge' aspects of the job, such as using predictive analytics for fish-finding, optimizing fuel-efficient navigation, and automating regulatory compliance/reporting. Adopters can gain a competitive edge through better catch yields and reduced overhead, but AI cannot assist with the strenuous physical labor of hauling nets or processing catches.

Job growth outlook: 3/10

AI will improve efficiency through advanced sonar, predictive migration modeling, and autonomous navigation, but these gains are unlikely to expand the market due to strict environmental regulations and catch quotas. While AI-driven precision fishing may reduce operational costs, the physical nature of the work and the finite supply of natural resources prevent significant job growth.

Career details

• Typical education: No formal educational credential
• 10-year outlook: Decline