63
/100

SOC 53-6051

Transportation Inspectors

High RiskFrey/Osborne: 90.0%

Risk Score

โš ๏ธ

63/100

High Risk

US Employment

๐Ÿ‘ฅ

23,320

Total workers

Median Wage

๐Ÿ’ฐ

$86K

$40K โ€“ $137K

Projected Growth

๐Ÿ“ˆ

+1.7%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

68/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Transportation Inspectors face a risk score of 63/100 โ€” 19 points above the national average of 44. With 68/100 GenAI exposure, this occupation faces significant pressure from AI tools despite strong projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $86K ($39K above the national median). The 3 recommended career transitions offer lower AI risk while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 63/100, Transportation Inspectors faces moderate automation pressure. While tasks like automated data interpretation and insight generation are increasingly handled by AI, the role retains significant human elements. The 23,320 workers in this occupation should focus on strengthening skills in emergency situation response and quick decision-making and customer interaction and conflict resolution during delivery to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Transportation Inspectors?

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

โš ๏ธ Top Risk Factors

1

Automated data interpretation and insight generation

2

Autonomous vehicle and self-driving truck technology

3

AI route optimization reducing dispatcher roles

4

AI-generated written content replacing manual drafting

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Emergency situation response and quick decision-making

โœ“

Customer interaction and conflict resolution during delivery

โœ“

Manual loading of irregular and fragile cargo

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

Prepare and submit reports after completion of freight shipments.

โ€ข

Inspect shipments to ensure that freight is securely braced and blocked.

โ€ข

Record details about freight conditions, handling of freight, and any problems encountered.

โ€ข

Advise crews in techniques of stowing dangerous and heavy cargo.

โ€ข

Observe loading of freight to ensure that crews comply with procedures.

๐Ÿ’ป Technology Skills

โ€ข

Document management software

โ€ข

Electronic mail software

โ€ข

Operating system software

โ€ข

Spreadsheet software

โ€ข

Office suite software

๐ŸŽ“ Key Knowledge Areas

โ€ข

English Language

โ€ข

Mechanical

โ€ข

Public Safety and Security

โ€ข

Customer and Personal Service

โ€ข

Transportation

๐Ÿ“Š vs National Average

Median Wage$86K
+$39K

National avg: $46K

Risk Score63/100
+19

National avg: 44/100

GenAI Exposure68/100
+30

National avg: 38/100

Projected Growth1.7%
-2.0%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Air Transportation Workers31$107K79%
Ship Engineers33$101K75%
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K71%