63
/100

SOC 49-3053

Outdoor Power Equipment and Other Small Engine Mechanics

High RiskFrey/Osborne: 93.0%

Risk Score

โš ๏ธ

63/100

High Risk

US Employment

๐Ÿ‘ฅ

34,240

Total workers

Median Wage

๐Ÿ’ฐ

$47K

$34K โ€“ $65K

Projected Growth

๐Ÿ“ˆ

+2.5%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

44/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Outdoor Power Equipment and Other Small Engine Mechanics face a risk score of 63/100 โ€” 19 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 $47K ($250 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 63/100, Outdoor Power Equipment and Other Small Engine Mechanics faces moderate automation pressure. While tasks like automated fault detection via iot sensor networks are increasingly handled by AI, the role retains significant human elements. The 34,240 workers in this occupation should focus on strengthening skills in diagnosing novel equipment failures through physical inspection and working in confined, elevated, or hazardous spaces to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Outdoor Power Equipment and Other Small Engine Mechanics?

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

โš ๏ธ Top Risk Factors

1

Automated fault detection via IoT sensor networks

2

Augmented reality-guided remote diagnostics

3

AI parts inventory and supply chain optimization

4

Robotic inspection of hard-to-reach equipment

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Diagnosing novel equipment failures through physical inspection

โœ“

Working in confined, elevated, or hazardous spaces

โœ“

Customer communication about technical issues

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

Record repairs made, time spent, and parts used.

โ€ข

Test and inspect engines to determine malfunctions, to locate missing and broken parts, and to verify repairs, using diagnostic instruments.

โ€ข

Dismantle engines, using hand tools, and examine parts for defects.

โ€ข

Repair and maintain gasoline engines used to power equipment such as portable saws, lawn mowers, generators, and compressors.

โ€ข

Adjust points, valves, carburetors, distributors, and spark plug gaps, using feeler gauges.

๐Ÿ’ป Technology Skills

โ€ข

Data base user interface and query software

โ€ข

Analytical or scientific software

โ€ข

Spreadsheet software

โ€ข

Office suite software

โ€ข

Point of sale POS software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Mechanical

โ€ข

Customer and Personal Service

โ€ข

English Language

โ€ข

Engineering and Technology

โ€ข

Education and Training

๐Ÿ“Š vs National Average

Median Wage$47K
+$250

National avg: $46K

Risk Score63/100
+19

National avg: 44/100

GenAI Exposure44/100
+6

National avg: 38/100

Projected Growth2.5%
-1.2%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K51%
Electrical Power-Line Installers and Repairers28$93K70%
Supervisors of Installation, Maintenance, and Repair Workers33$78K75%