53
/100

SOC 49-3031

Bus and Truck Mechanics and Diesel Engine Specialists

ElevatedFrey/Osborne: 73.0%

Risk Score

โš ๏ธ

53/100

Elevated

US Employment

๐Ÿ‘ฅ

287,230

Total workers

Median Wage

๐Ÿ’ฐ

$61K

$42K โ€“ $86K

Projected Growth

๐Ÿ“ˆ

+2.4%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

29/100

Low exposure

How we calculate these numbers โ†’

๐Ÿ’ก Bus and Truck Mechanics and Diesel Engine Specialists face a risk score of 53/100 โ€” 9 points above the national average of 44. With only 29/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $61K ($14K 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 53/100, Bus and Truck Mechanics and Diesel Engine Specialists 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 287,230 workers in this occupation should focus on strengthening skills in customer communication about technical issues and diagnosing novel equipment failures through physical inspection to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Bus and Truck Mechanics and Diesel Engine Specialists?

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

Predictive maintenance AI reducing reactive repair needs

4

Robotic inspection of hard-to-reach equipment

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Customer communication about technical issues

โœ“

Diagnosing novel equipment failures through physical inspection

โœ“

Working in confined, elevated, or hazardous spaces

โœ“

Hands-on fine motor work in intricate machinery

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

Use handtools, such as screwdrivers, pliers, wrenches, pressure gauges, or precision instruments, as well as power tools, such as pneumatic wrenches, lathes, welding equipment, or jacks and hoists.

โ€ข

Inspect brake systems, steering mechanisms, wheel bearings, and other important parts to ensure that they are in proper operating condition.

โ€ข

Raise trucks, buses, and heavy parts or equipment using hydraulic jacks or hoists.

โ€ข

Adjust and reline brakes, align wheels, tighten bolts and screws, and reassemble equipment.

โ€ข

Attach test instruments to equipment, and read dials and gauges to diagnose malfunctions.

๐Ÿ’ป Technology Skills

โ€ข

Computer aided design CAD software

โ€ข

Computer aided manufacturing CAM software

โ€ข

Facilities management software

โ€ข

Analytical or scientific software

โ€ข

Data base user interface and query software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Mechanical

โ€ข

Transportation

โ€ข

Education and Training

โ€ข

English Language

โ€ข

Public Safety and Security

๐Ÿ“Š vs National Average

Median Wage$61K
+$14K

National avg: $46K

Risk Score53/100
+9

National avg: 44/100

GenAI Exposure29/100
-9

National avg: 38/100

Projected Growth2.4%
-1.3%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K51%
Electrical Power-Line Installers and Repairers28$93K80%
Supervisors of Installation, Maintenance, and Repair Workers33$78K70%