Foresters

Most exposed tasks

No task is classified fully automatable in this release. The highest-exposure task relative to this role is shown in the free snapshot above; the assistive work is detailed next.

Augmentable tasks

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

• Map forest area soils and vegetation to estimate the amount of standing timber and future value and growth.50
• Plan and direct forest surveys and related studies and prepare reports and recommendations.48
• Analyze effect of forest conditions on tree growth rates and tree species prevalence and the yield, duration, seed production, growth viability, and germination of different species.48

Most durable tasks

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

• Direct, and participate in, forest fire suppression.10
• Choose and prepare sites for new trees, using controlled burning, bulldozers, or herbicides to clear weeds, brush, and logging debris.15
• Perform inspections of forests or forest nurseries.20

Task exposure values and classifications are published, versioned estimates audited against the anchored rubric. This page reads them from the data release rather than generating them at request time. Bars show exposure contribution relative to this role’s task mix.

What this means

A score of 33 puts Foresters in the second quartile of analyzed occupations. In practice, exposure this level is about the mix: 0 of 20 analyzed tasks lean automatable, 7 augmentable, and 13 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.

Lower-exposure adjacent roles

No adjacent role in the current data release is at least 10 points lower with ≥50% skill overlap — we don’t label anything “safer” unless the data supports it.

Labor-market context

• $76,400median wage
• 10,430employed
• 1,100annual openings
• +1.4%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.

• Forest and Conservation Technicians 31
• Range Managers 34
• Conservation Scientists 41
• Environmental Restoration Planners 42
• Forest and Conservation Workers 15
• Soil and Plant Scientists 33

How this score was calculated

FAQ — Foresters

Will AI replace Foresters?

This score cannot predict whether this occupation or any individual job will be replaced. It shows which tasks current and near-term AI can perform or accelerate, which tasks remain more durable, and where a worker can adapt. Employer decisions, demand, regulation, and how the role changes are outside the score.

What does a score of 33 mean for a Foresters?

It means that, weighted across the 20 tasks we analyzed for this role, the task mix sits at 33 on a 0–100 exposure scale — in the second 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?

This role has no strongly automatable task in the current data release.

Which parts of this job are most durable?

The most durable responsibilities are: Direct, and participate in, forest fire suppression; Choose and prepare sites for new trees, using controlled burning, bulldozers, or herbicides to clear weeds, brush, and logging debris; Perform inspections of forests or forest nurseries. Durable tasks typically depend on judgment, relationships, physical presence, or accountability.

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.