53
/100

SOC 33-9093

Transportation Security Screeners

ElevatedFrey/Osborne: 67.0%

Risk Score

โš ๏ธ

53/100

Elevated

US Employment

๐Ÿ‘ฅ

46,340

Total workers

Median Wage

๐Ÿ’ฐ

$63K

$45K โ€“ $76K

Projected Growth

๐Ÿ“ˆ

-6%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

38/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Transportation Security Screeners face a risk score of 53/100 โ€” 9 points above the national average of 44. With only 38/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $63K ($17K 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, Transportation Security Screeners faces moderate automation pressure. While tasks like drone-based perimeter monitoring and response are increasingly handled by AI, the role retains significant human elements. The 46,340 workers in this occupation should focus on strengthening skills in physical apprehension and emergency response and community relationship-building and trust development to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Transportation Security Screeners?

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

โš ๏ธ Top Risk Factors

1

Drone-based perimeter monitoring and response

2

Automated access control and identity verification

3

Predictive policing and crime analytics

4

Autonomous patrol and security robots

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Physical apprehension and emergency response

โœ“

Community relationship-building and trust development

โœ“

Navigating legally and ethically complex enforcement scenarios

โœ“

De-escalation of volatile interpersonal confrontations

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

Inspect carry-on items, using x-ray viewing equipment, to determine whether items contain objects that warrant further investigation.

โ€ข

Search carry-on or checked baggage by hand when it is suspected to contain prohibited items such as weapons.

โ€ข

Check passengers' tickets to ensure that they are valid, and to determine whether passengers have designations that require special handling, such as providing photo identification.

โ€ข

Test baggage for any explosive materials, using equipment such as explosive detection machines or chemical swab systems.

โ€ข

Perform pat-down or hand-held wand searches of passengers who have triggered machine alarms, who are unable to pass through metal detectors, or who have been randomly identified for such searches.

๐Ÿ’ป Technology Skills

โ€ข

Human resources 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

Public Safety and Security

โ€ข

Customer and Personal Service

โ€ข

English Language

โ€ข

Law and Government

โ€ข

Education and Training

๐Ÿ“Š vs National Average

Median Wage$63K
+$17K

National avg: $46K

Risk Score53/100
+9

National avg: 44/100

GenAI Exposure38/100
0

National avg: 38/100

Projected Growth-6.0%
-9.7%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Advertising, Marketing, Promotions, Public Relations, and Sales Managers16$145K59%
Lawyers, Judges, and Related Workers17$144K57%
Education Administrators, All Other21$89K69%