58
/100

SOC 37-3013

Tree Trimmers and Pruners

ElevatedFrey/Osborne: 77.0%

Risk Score

โš ๏ธ

58/100

Elevated

US Employment

๐Ÿ‘ฅ

47,870

Total workers

Median Wage

๐Ÿ’ฐ

$50K

$38K โ€“ $79K

Projected Growth

๐Ÿ“ˆ

+3.3%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

44/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Tree Trimmers and Pruners face a risk score of 58/100 โ€” 14 points above the national average of 44. With only 44/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $50K ($4K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 58/100, Tree Trimmers and Pruners faces moderate automation pressure. While tasks like remote monitoring reducing on-site maintenance staff are increasingly handled by AI, the role retains significant human elements. The 47,870 workers in this occupation should focus on strengthening skills in hands-on troubleshooting of building systems and responding to unpredictable facility emergencies to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Tree Trimmers and Pruners?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Remote monitoring reducing on-site maintenance staff

2

IoT-based predictive maintenance scheduling

3

Robotic cleaning and facility maintenance systems

4

Automated grounds-keeping and landscaping equipment

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Hands-on troubleshooting of building systems

โœ“

Responding to unpredictable facility emergencies

โœ“

Physical work in diverse and unstructured environments

โœ“

Judgment calls on repair vs. replacement decisions

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Operate shredding and chipping equipment, and feed limbs and brush into the machines.

โ€ข

Operate boom trucks, loaders, stump chippers, brush chippers, tractors, power saws, trucks, sprayers, and other equipment and tools.

โ€ข

Cut away dead and excess branches from trees, or clear branches around power lines, using climbing equipment or buckets of extended truck booms, or chainsaws, hooks, handsaws, shears, and clippers.

โ€ข

Clean, sharpen, and lubricate tools and equipment.

โ€ข

Hoist tools and equipment to tree trimmers, and lower branches with ropes or block and tackle.

๐Ÿ’ป Technology Skills

โ€ข

Web page creation and editing software

โ€ข

Spreadsheet software

โ€ข

Electronic mail software

โ€ข

Word processing software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Customer and Personal Service

โ€ข

Mechanical

โ€ข

Public Safety and Security

โ€ข

Production and Processing

โ€ข

Transportation

๐Ÿ“Š vs National Average

Median Wage$50K
+$4K

National avg: $46K

Risk Score58/100
+14

National avg: 44/100

GenAI Exposure44/100
+6

National avg: 38/100

Projected Growth3.3%
-0.4%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K51%
Electrical Power-Line Installers and Repairers28$93K65%
Aircraft Cargo Handling Supervisors29$64K63%