53
/100

SOC 43-4181

Reservation and Transportation Ticket Agents and Travel Clerks

ElevatedFrey/Osborne: 61.0%

Risk Score

โš ๏ธ

53/100

Elevated

US Employment

๐Ÿ‘ฅ

127,440

Total workers

Median Wage

๐Ÿ’ฐ

$41K

$35K โ€“ $75K

Projected Growth

๐Ÿ“ˆ

+2.8%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

59/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Reservation and Transportation Ticket Agents and Travel Clerks face a risk score of 53/100 โ€” 9 points above the national average of 44. With 59/100 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 $41K. 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, Reservation and Transportation Ticket Agents and Travel Clerks faces moderate automation pressure. While tasks like smart form extraction replacing manual data processing are increasingly handled by AI, the role retains significant human elements. The 127,440 workers in this occupation should focus on strengthening skills in managing sensitive interpersonal workplace situations and exercising discretion in ambiguous administrative decisions to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Reservation and Transportation Ticket Agents and Travel Clerks?

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

โš ๏ธ Top Risk Factors

1

Smart form extraction replacing manual data processing

2

Intelligent document processing and OCR automation

3

AI-powered email triage and response drafting

4

AI scheduling and calendar management assistants

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Managing sensitive interpersonal workplace situations

โœ“

Exercising discretion in ambiguous administrative decisions

โœ“

Building trust-based relationships with executives

โœ“

Handling confidential and politically sensitive information

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

Examine passenger documentation to determine destinations and to assign boarding passes.

โ€ข

Trace lost, delayed, or misdirected baggage for customers.

โ€ข

Check baggage and cargo and direct passengers to designated locations for loading.

โ€ข

Provide boarding or disembarking assistance to passengers needing special assistance.

โ€ข

Confer with customers to determine their service requirements and travel preferences.

๐Ÿ’ป Technology Skills

โ€ข

Data base user interface and query software

โ€ข

Office suite software

โ€ข

Financial analysis software

โ€ข

Electronic mail software

โ€ข

Point of sale POS software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Customer and Personal Service

โ€ข

English Language

โ€ข

Computers and Electronics

โ€ข

Public Safety and Security

โ€ข

Transportation

๐Ÿ“Š vs National Average

Median Wage$41K
$-5K

National avg: $46K

Risk Score53/100
+9

National avg: 44/100

GenAI Exposure59/100
+21

National avg: 38/100

Projected Growth2.8%
-0.9%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Supervisors of Office and Administrative Support Workers23$66K75%
Education Administrators, All Other21$89K69%
Advertising, Marketing, Promotions, Public Relations, and Sales Managers16$145K64%