Forest and conservation workers

10,800 jobs in the US · AI exposure 2/10 · AI opportunity 3/10

What AI will never replace

Workers physically plant seedlings on steep, uneven terrain, operate chainsaws to clear hazardous deadfall, and dig firebreaks in active wildfire zones where smoke and heat make remote operation impossible. The work demands sustained heavy labor in remote backcountry with no infrastructure, adapting in real time to weather shifts, wildlife encounters, and unstable ground conditions.

AI exposure: 2/10

The core duties of this occupation are highly physical and performed in unpredictable outdoor environments, such as planting seedlings, clearing brush, and suppressing forest fires. While AI and remote sensing can assist with peripheral tasks like tree counting and health monitoring, the primary labor-intensive functions cannot be automated by digital AI systems.

AI advantage: 3/10

The core work is highly physical and manual, involving tasks like planting seedlings, clearing brush, and suppressing fires that AI cannot perform. However, AI-driven tools like remote sensing and automated tree-counting software are already beginning to replace some manual monitoring tasks, creating a productivity gap between workers who can utilize these technologies and those who rely solely on traditional methods.

Job growth outlook: 3/10

AI and remote sensing technologies are increasingly automating core tasks like tree counting, species identification, and health monitoring, which reduces the labor hours required per acre. While AI-driven climate modeling and wildfire prediction may increase the scale of conservation efforts, the physical nature of the work remains labor-intensive and is more likely to be displaced by specialized machinery and drones than expanded by AI software.

Career details

  • Typical education: High school diploma or equivalent
  • Median annual pay: $43,680
  • 10-year outlook: Decline