Forest and Conservation Technicians

Most exposed tasks

Highest structured exposure values in this role’s task mix — the work AI systems can already do most of.

• Measure distances, clean sightlines, and record data to help survey crews.73
• Provide information about, and enforce, regulations, such as those concerning environmental protection, resource utilization, fire safety, and accident prevention.69
• Keep records of the amount and condition of logs taken to mills.69

Augmentable tasks

Work where AI assists rather than replaces — the productivity frontier of this role.

• Perform reforestation or forest renewal, including nursery and silviculture operations, site preparation, seeding and tree planting programs, cone collection, and tree improvement.59
• Manage forest protection activities, including fire control, fire crew training, and coordination of fire detection and public education programs.58
• Monitor activities of logging companies and contractors.58

Most durable tasks

Lowest exposure — typically judgment, relationships, physical presence, or accountability. This is the human moat.

The current data release does not distinguish durable tasks for this role.

Task exposure values and classifications come from the versioned data release — they are structured data, not model output. Bars show exposure contribution relative to this role’s task mix.

What this means

A score of 56 puts Forest and Conservation Technicians in the third quartile of analyzed occupations. In practice, exposure this high is about the mix: 7 of 20 analyzed tasks lean automatable, 13 augmentable, and 0 durable. The useful question isn’t “will AI take this job” — it’s which tasks go first, which get faster, and where to reposition time. That’s what the personalized report maps against your actual week.

One next move: audit how much of your week sits in the exposed tasks above — then shift time toward the durable set or investigate the adjacent roles below.

Lower-exposure adjacent roles

Shown only when the target is at least 10 points lower under the same score version and skill overlap is at least 50%. These are adjacent roles with lower task exposure — not guaranteed “safe careers”.

Labor-market context

• $54,560median wage
• 30,410employed
• 3,900annual openings
• -3.3%projected growth

Context only — labor statistics are not inputs to the exposure score. See methodology.

Related roles

Adjacent by skills or family — no exposure claim implied.

• Range Managers 50
• Conservation Scientists 52
• Forest Fire Inspectors and Prevention Specialists 52
• First-Line Supervisors of Farming, Fishing, and Forestry Workers 48
• Environmental Scientists and Specialists, Including Health 41
• Agricultural Technicians 58

FAQ — Forest and Conservation Technicians

What does a score of 56 mean for a Forest and Conservation Technicians?

It means that, weighted across the 20 tasks we analyzed for this role, the task mix sits at 56 on a 0–100 exposure scale — in the third quartile of analyzed occupations. It measures task exposure to current and near-term AI capabilities, not the probability of losing a job.

Which tasks in this role are most exposed to AI?

The highest-exposure tasks are: Measure distances, clean sightlines, and record data to help survey crews; Provide information about, and enforce, regulations, such as those concerning environmental protection, resource utilization, fire safety, and accident prevention; Keep records of the amount and condition of logs taken to mills. Exposure is scored per task from structured data, not generated by a language model.

Which parts of this job are most durable?

The current data release does not distinguish durable tasks for this role.

Is this score personalized to me?

No — this page shows the occupation-level baseline. Two people with the same title often do different work. The $9 personalized report recalculates the score from the tasks you actually do and builds a concrete 7/30/90-day plan around them.