Travel agents
SOC Code: 41-3041
Travel agents carries a 41% AI exposure score (High automation risk), with a median annual wage of $48,450 and +2.2% projected employment growth from 2024 to 2034 (BLS), affecting approximately 65,700 workers. Full task breakdown, skills, and employer data are below.
Proportion of tasks susceptible to AI automation (O*NET analysis)
At 41% AI exposure, Travel agents sits 4 points above the 37.2% average across 832 U.S. occupations - more exposed than 71% of them. Most of its core tasks still require human judgment.
Where Travel agents sits among all occupations
AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.
Travel agents has ai exposure of 41%. Distribution: 1 occupations at 0-10%; 43 occupations at 10-20%; 184 occupations at 20-30%; 332 occupations at 30-40%; 158 occupations at 40-50%; 64 occupations at 50-60%; 29 occupations at 60-70%; 15 occupations at 70-80%; 5 occupations at 80-90%; 1 occupations at 90-100%.
Source: O*NET task data (U.S. Department of Labor); AI-exposure scores are PlainWorkforce's analysis. As of BLS 2024–2034.
Travel agents vs. its occupational neighbors
AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Travel agents is marked in rose; the top-left corner is the most future-proof.
Source: BLS Employment Projections 2024–2034 (growth) and O*NET (AI-exposure analysis by PlainWorkforce).
Employment Projections
Occupation Insight
Travel agents (SOC 41-3041) carries an AI exposure score of 41%, placing it in the High automation-risk tier. This score is computed from O*NET Database 30.0 task-level analysis, where each task an occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score in the 40–70% range indicates meaningful automation pressure on specific task categories, but the role as a whole still requires human judgment for coordination, exception handling, or client interaction.
The economic context matters alongside the risk score. BLS counted approximately 65,700 workers in this occupation in 2024, and projects a +2.2% change through 2034 - modest growth that keeps the occupation viable even as tasks evolve. Median annual compensation stands at $48,450, reflecting both skill scarcity and the value employers place on the tasks that remain difficult to automate. Entry typically requires High school diploma or equivalent, plus None of related experience.
For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes Travel agents. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure. Pair the AI exposure score with the BLS employment projection and wage percentiles above for a complete career assessment.
Education & Entry Requirements
Top Tasks (O*NET)
- 1. Collect payment for transportation and accommodations from customer.
- 2. Plan, describe, arrange, and sell itinerary tour packages and promotional travel incentives offered by various travel carriers.
- 3. Converse with customer to determine destination, mode of transportation, travel dates, financial considerations, and accommodations required.
- 4. Compute cost of travel and accommodations, using calculator, computer, carrier tariff books, and hotel rate books, or quote package tour's costs.
- 5. Record and maintain information on clients, vendors, and travel packages.
- 6. Book transportation and hotel reservations, using computer or telephone.
- 7. Print or request transportation carrier tickets, using computer printer system or system link to travel carrier.
- 8. Provide customer with brochures and publications containing travel information, such as local customs, points of interest, or foreign country regulations.
Key Skills Required
- Active Listening
- Service Orientation
- Reading Comprehension
- Speaking
- Social Perceptiveness
- Persuasion
- Judgment and Decision Making
- Writing
- Critical Thinking
- Active Learning
Knowledge Areas
- Customer and Personal Service
- English Language
- Sales and Marketing
- Geography
- Computers and Electronics
- Administrative
- Telecommunications
- Transportation
- Administration and Management
- Communications and Media
Frequently Asked Questions
Will AI replace Travel agents?
Travel agents has an AI exposure score of 41%, indicating a high level of automation risk. Some tasks in this role can be augmented or partially automated by AI, but core responsibilities require human judgment.
What is the job outlook for Travel agents?
According to BLS Employment Projections 2024-2034, Travel agents is projected to grow by 2.2% over the decade. Current employment stands at approximately 65,700 workers.
What skills are needed for Travel agents?
Key skills for Travel agents include Active Listening, Service Orientation, Reading Comprehension, and others. Typical entry-level education is High school diploma or equivalent.
How much do Travel agents earn?
The median annual wage for Travel agents is $48,450, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.
What education is required for Travel agents?
The typical entry-level education for Travel agents is High school diploma or equivalent. Employers generally expect None of related work experience. On-the-job training typically involves Moderate-term on-the-job training. Requirements can vary by employer and specialization.
Which companies employ Travel agents?
Travel agents roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.
AI Exposure Rating
High automation risk based on 8 analyzed tasks. A moderate share of tasks may be augmented by AI tools.
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Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).