Tree Trimmers and Pruners

Most exposed tasks

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

No strongly automatable task in the current data release.

Augmentable tasks

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

• Provide information to the public regarding trees, such as advice on tree care.36
• Plan and develop budgets for tree work, and estimate the monetary value of trees.35

Most durable tasks

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

• Inspect trees to determine if they have diseases or pest problems.17
• Clear sites, streets, and grounds of woody and herbaceous materials, such as tree stumps and fallen trees and limbs.18
• Collect debris and refuse from tree trimming and removal operations into piles, using shovels, rakes, or other tools.18

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 23 puts Tree Trimmers and Pruners in the least-exposed quarter of analyzed occupations. In practice, exposure this level is about the mix: 0 of 20 analyzed tasks lean automatable, 2 augmentable, and 18 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: lean into the durable core above and adopt AI on the routine remainder before it becomes a mandate.

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

• $50,960median wage
• 55,160employed
• 7,400annual 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.

• Fallers 23
• Landscaping and Groundskeeping Workers 24
• Pesticide Handlers, Sprayers, and Applicators, Vegetation 28
• Forest and Conservation Workers 29
• Farmworkers and Laborers, Crop, Nursery, and Greenhouse 37
• Agricultural Equipment Operators 36

FAQ — Tree Trimmers and Pruners

What does a score of 23 mean for a Tree Trimmers and Pruners?

It means that, weighted across the 20 tasks we analyzed for this role, the task mix sits at 23 on a 0–100 exposure scale — in the least-exposed quarter 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: Inspect trees to determine if they have diseases or pest problems; Clear sites, streets, and grounds of woody and herbaceous materials, such as tree stumps and fallen trees and limbs; Collect debris and refuse from tree trimming and removal operations into piles, using shovels, rakes, or other tools. 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.