Shuttle drivers and chauffeurs
SOC Code: 53-3053
Shuttle drivers and chauffeurs carries a 36% AI exposure score (Medium automation risk), with a median annual wage of $36,670 and +6.7% projected employment growth from 2024 to 2034 (BLS), affecting approximately 243,900 workers. Full task breakdown, skills, and employer data are below.
Proportion of tasks susceptible to AI automation (O*NET analysis)
At 36% AI exposure, Shuttle drivers and chauffeurs sits 1 points below the 37.2% average across 832 U.S. occupations - more exposed than 58% of them. Most of its core tasks still require human judgment.
Career outlook score
46/100
Shuttle drivers and chauffeurs, weighted across 3 of 3 tracked dimensions
A weighted composite of median wage, projected growth, and AI-automation security (inverted exposure), each benchmarked against every other tracked occupation. It describes this occupation's standing across those three dimensions, not a guarantee of future outcomes.
- Median wage F $36,670
Annual median wage, percentile rank vs all tracked occupations
- Projected growth A +6.7%
Projected employment change, 2024-2034, BLS Employment Projections
- AI exposure (inverted) D 36% exposure
Lower O*NET task-automability scores lower risk; this dimension scores security, not exposure
Home health and personal care aides is #1 of 832 occupations by employment (4.3M, AI exposure rank #392 at 35%) vs. Bookkeeping, accounting, and auditing clerks #1 by AI task exposure (95%, employment rank #17 at 1.6M).
Automation-risk inventory
Exclusive cut of 832 occupations by PlainWorkforce automation-risk band. Orthogonal to the continuous AI-exposure distribution chart below and to this occupation's single risk badge, this is the corpus band mix, with Shuttle drivers and chauffeurs in the Medium band.
Credential × growth standing
Open entry with non-declining BLS pace
Shuttle drivers and chauffeurs keeps an No credential bar (109 of 832) and sits in Average (378 of 832). Lower formal gates with a non-shrinking employment line - skill and AI desks matter more than credentials here.
Where Shuttle drivers and chauffeurs sits among all occupations
AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.
Where Shuttle drivers and chauffeurs sits by AI exposure
AI-exposure score distribution across U.S. occupations (O*NET task analysis)
36% Around the middle lower than 42% of 832 occupations
Occupations, banded by AI-exposure score
Each bar is a band; taller bars hold more occupations. The dashed line + filled bar mark this entry. Hover or tap any bar for its full count and share, and where it sits relative to this entry.
Source O*NET task data (U.S. Department of Labor) · BLS 2024–2034
Source: O*NET task data (U.S. Department of Labor); AI-exposure scores are PlainWorkforce's analysis. As of BLS 2024–2034.
Shuttle drivers and chauffeurs vs. its occupational neighbors
AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Shuttle drivers and chauffeurs 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
Where This Score Comes From
Shuttle drivers and chauffeurs's Medium automation-risk tier is computed from O*NET Database 30.0 task-level analysis, where each documented task the occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score below 40% reflects tasks anchored in physical dexterity, unstructured environments, or high-touch human interaction that current AI cannot reliably replicate.
The employment, wage, and education figures above come from a second, separate federal source: BLS Employment Projections 2024–2034, matched to the O*NET task data by Standard Occupational Classification (SOC 53-3053) code, with the wage figure cross-validated against the BLS Occupational Employment and Wage Statistics (OEWS) May 2024 survey. BLS figures are presented exactly as published, with no adjustment on our part; the SOC-code match is what lets Shuttle drivers and chauffeurs be compared directly against every other tracked occupation on the same basis, not just roles that happen to share a job title.
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 Shuttle drivers and chauffeurs. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure.
Education & Entry Requirements
Top Tasks (O*NET)
- 1. Test vehicle equipment, such as lights, brakes, horns, or windshield wipers, to ensure proper operation.
- 2. Check the condition of a vehicle's tires, brakes, windshield wipers, lights, oil, fuel, water, and safety equipment to ensure that everything is in working order.
- 3. Comply with traffic regulations to operate vehicles in a safe and courteous manner.
- 4. Follow relevant safety regulations and state laws governing vehicle operation, and ensure that passengers follow safety regulations.
- 5. Operate vehicles with specialized equipment, such as wheelchair lifts, to transport and secure passengers with special needs.
- 6. Report any vehicle malfunctions or needed repairs.
- 7. Perform routine vehicle maintenance, such as regulating tire pressure and adding gasoline, oil, and water.
- 8. Pick up and drop off passengers at regularly scheduled neighborhood locations, following strict time schedules.
- 9. Drive shuttle busses, limousines, company cars, or privately owned vehicles to transport passengers.
- 10. Prepare and submit reports that may include the number of passengers or trips, hours worked, mileage driven fuel consumed, or fares received.
Key Skills Required
- Active Listening
- Critical Thinking
- Monitoring
- Operation and Control
- Speaking
- Social Perceptiveness
- Service Orientation
- Operations Monitoring
- Reading Comprehension
- Coordination
Knowledge Areas
- Customer and Personal Service
- Transportation
- Public Safety and Security
- English Language
- Personnel and Human Resources
- Administrative
- Administration and Management
- Education and Training
- Production and Processing
- Law and Government
Frequently Asked Questions
Will AI replace Shuttle drivers and chauffeurs?
Shuttle drivers and chauffeurs has an AI exposure score of 36%, indicating a medium level of automation risk. The majority of tasks in this role require human judgment, creativity, or physical presence that AI cannot easily replicate.
What is the job outlook for Shuttle drivers and chauffeurs?
According to BLS Employment Projections 2024-2034, Shuttle drivers and chauffeurs is projected to grow by 6.7% over the decade. Current employment stands at approximately 243,900 workers.
What skills are needed for Shuttle drivers and chauffeurs?
Key skills for Shuttle drivers and chauffeurs include Active Listening, Critical Thinking, Monitoring, and others. Typical entry-level education is No formal educational credential.
How much do Shuttle drivers and chauffeurs earn?
The median annual wage for Shuttle drivers and chauffeurs is $36,670, 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 Shuttle drivers and chauffeurs?
The typical entry-level education for Shuttle drivers and chauffeurs is No formal educational credential. Employers generally expect None of related work experience. On-the-job training typically involves Short-term on-the-job training. Requirements can vary by employer and specialization.
Which companies employ Shuttle drivers and chauffeurs?
Shuttle drivers and chauffeurs 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
Medium automation risk based on 10 analyzed tasks. Most tasks require human judgment and are resistant to automation.
Nationwide occupations with similar workforce profiles
Two data-derived peer sets for Shuttle drivers and chauffeurs: AI-exposure neighbors and BLS 2034 growth neighbors (distinct comparison neighborhoods, cross-occupation).
Similar AI exposure score
Nearest O*NET task-automability scores nationwide (36% here).
- Agricultural technicians · AI exposure 36%
- Aircraft structure, surfaces, rigging, and systems assemblers · AI exposure 36%
- Bioengineers and biomedical engineers · AI exposure 36%
- Cardiologists · AI exposure 36%
Similar projected growth (2024–2034)
Nearest BLS employment change rates nationwide (+6.7% here).
- First-line supervisors of personal service workers · growth +6.7%
- Market research analysts and marketing specialists · growth +6.7%
- Skincare specialists · growth +6.7%
- Acupuncturists · growth +6.8%
Peers are nearest-neighbor matches on published BLS + O*NET metrics among occupations with ≥10,000 workers in 2024; corpus ranks above sort the full tracked set.
Related Occupations
Showing 6 of 28 occupations with a comparable automation-risk profile.
What to do with this
Use Shuttle drivers and chauffeurs' numbers above to compare, not just read in isolation.
- Compare Shuttle drivers and chauffeurs side by side against another occupation on wage, growth, and AI exposure. Workforce comparison tool
- Understand how the AI exposure score above is actually calculated before treating it as a verdict. Reading AI exposure scores
- See the full ranked list of occupations with the lowest automation exposure nationwide. Safest occupations from AI
AI exposure scores estimate task automatability from O*NET data; they are not a certainty of job loss, and BLS growth projections are estimates, not guarantees.
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).