AI exposure by occupation, O*NET 45-4021.00
Will AI replace Fallers?
Fallers: AI can already handle 2 of 18 tasks; most of the work is hands-on, and the part AI can address mostly needs a frontier-tier model.
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Every task, scored
The 18 tasks O*NET 30.3 lists for Fallers, from most to least exposed. 2 reach 60 or more, the level at which AI already handles a task.
| Task | AI exposure | Evidence | Model tier |
|---|---|---|---|
| Assess logs after cutting to ensure that the quality and length are correct. | Estimated | Standard | |
| Select trees to be cut down, assessing factors such as site, terrain, and weather conditions before beginning work. | Estimated | Frontier | |
| Maintain and repair chainsaws and other equipment, cleaning, oiling, and greasing equipment, and sharpening equipment properly. | Estimated | Efficient | |
| Stop saw engines, pull cutting bars from cuts, and run to safety as tree falls. | Estimated | No tier | |
| Appraise trees for certain characteristics, such as twist, rot, and heavy limb growth, and gauge amount and direction of lean, to determine how to control the direction of a tree's fall with the least damage. | Estimated | No tier | |
| Saw back-cuts, leaving sufficient sound wood to control direction of fall. | Estimated | No tier | |
| Clear brush from work areas and escape routes, and cut saplings and other trees from direction of falls, using axes, chainsaws, or bulldozers. | Estimated | No tier | |
| Measure felled trees and cut them into specified log lengths, using chain saws and axes. | Estimated | No tier | |
| Determine position, direction, and depth of cuts to be made, and placement of wedges or jacks. | Estimated | No tier | |
| Control the direction of a tree's fall by scoring cutting lines with axes, sawing undercuts along scored lines with chainsaws, knocking slabs from cuts with single-bit axes, and driving wedges. | Estimated | No tier | |
| Trim off the tops and limbs of trees, using chainsaws, delimbers, or axes. | Estimated | No tier | |
| Tag unsafe trees with high-visibility ribbons. | Estimated | No tier | |
| Secure steel cables or chains to logs for dragging by tractors or for pulling by cable yarding systems. | Estimated | No tier | |
| Load logs or wood onto trucks, trailers, or railroad cars, by hand or using loaders or winches. | Estimated | No tier | |
| Mark logs for identification. | Estimated | No tier | |
| Work as a member of a team, rotating between chain saw operation and skidder operation. | Estimated | No tier | |
| Place supporting limbs or poles under felled trees to avoid splitting undersides, and to prevent logs from rolling. | Estimated | No tier | |
| Insert jacks or drive wedges behind saws to prevent binding of saws and to start trees falling. | Estimated | No tier |
Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 18 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 18 of 18. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.
The model tier this role needs
A frontier-tier model or lower covers 17% of the role's importance-weighted task work. 17% of the work is something AI can address at some tier, and 83% is hands-on.
Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.
Wages, employment and outlook
- US employment
- 3,130
- Median annual wage
- $52,100
- Middle half of earners
- $41,360 to $63,390
- Projected change, 2024 to 2034
- -7.3%
Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.
Adjacent roles
The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.
- Tree Trimmers and Pruners 69% skill overlap, about 11 months to move Exposure19
- Foresters 67% skill overlap, about 12 months to move Exposure40
- Logging Equipment Operators 67% skill overlap, about 12 months to move Exposure19
- Forest and Conservation Workers 66% skill overlap, about 12 months to move Exposure20
- Sawing Machine Setters, Operators, and Tenders, Wood 61% skill overlap, about 14 months to move Exposure25
Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.
Questions about Fallers and AI
Will AI replace Fallers?
AI already handles 2 of the 18 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 21 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by -7.3% from 2024 to 2034.
What is the AI exposure of Fallers?
21 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 18 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 18 are estimated from each task's O*NET work activity.
Which Fallers tasks can AI already do?
The tasks with the highest exposure are: Assess logs after cutting to ensure that the quality and length are correct; Select trees to be cut down, assessing factors such as site, terrain, and weather conditions before beginning work. They are the tasks that reach 60 or more.
What AI model tier does this role need?
A frontier-tier model or lower covers 17% of the role's importance-weighted task work, and 83% is hands-on work that no model tier covers. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.
How many people work as Fallers, and what do they earn?
3,130 people in the United States, with a median annual wage of $52,100 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of -7.3% from 2024 to 2034.
How to cite
Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.
JobRoute (2026). AI exposure: Fallers. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/fallers
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