61
/100

SOC 53-4011

Locomotive Engineers

High RiskFrey/Osborne: 96.0%

Risk Score

โš ๏ธ

61/100

High Risk

US Employment

๐Ÿ‘ฅ

31,990

Total workers

Median Wage

๐Ÿ’ฐ

$77K

$61K โ€“ $101K

Projected Growth

๐Ÿ“ˆ

+0.7%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

42/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Locomotive Engineers face a risk score of 61/100 โ€” 17 points above the national average of 44. With only 42/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $77K ($31K 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 61/100, Locomotive Engineers faces moderate automation pressure. While tasks like drone delivery displacing last-mile logistics workers are increasingly handled by AI, the role retains significant human elements. The 31,990 workers in this occupation should focus on strengthening skills in emergency situation response and quick decision-making and navigating unpredictable road and weather conditions to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Locomotive Engineers?

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

โš ๏ธ Top Risk Factors

1

Drone delivery displacing last-mile logistics workers

2

AI route optimization reducing dispatcher roles

3

Automated warehouse sorting and loading systems

4

Autonomous vehicle and self-driving truck technology

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Emergency situation response and quick decision-making

โœ“

Navigating unpredictable road and weather conditions

โœ“

Customer interaction and conflict resolution during delivery

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

Interpret train orders, signals, or railroad rules and regulations that govern the operation of locomotives.

โ€ข

Confer with conductors or traffic control center personnel via radiophones to issue or receive information concerning stops, delays, or oncoming trains.

โ€ข

Receive starting signals from conductors and use controls such as throttles or air brakes to drive electric, diesel-electric, steam, or gas turbine-electric locomotives.

โ€ข

Monitor gauges or meters that measure speed, amperage, battery charge, or air pressure in brake lines or in main reservoirs.

โ€ข

Observe tracks to detect obstructions.

๐Ÿ’ป Technology Skills

โ€ข

Expert system software

โ€ข

Spreadsheet software

โ€ข

Word processing software

โ€ข

Route navigation software

โ€ข

Time accounting software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Transportation

โ€ข

Public Safety and Security

โ€ข

English Language

โ€ข

Education and Training

โ€ข

Customer and Personal Service

๐Ÿ“Š vs National Average

Median Wage$77K
+$31K

National avg: $46K

Risk Score61/100
+17

National avg: 44/100

GenAI Exposure42/100
+4

National avg: 38/100

Projected Growth0.7%
-3.0%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Air Transportation Workers31$107K75%
Ship Engineers33$101K71%
Aircraft Cargo Handling Supervisors29$64K84%