Headline risk
10%
Low RiskRide-Hail Driver
AI displacement pressure score based on US employment data, wages, and demand signals. Built from 3 related occupations weighted by relevance.
Why this score
21% of tasks overlap with current AI
30% human advantage from judgment & presence
78% demand buffer from the local labour market
These factors interact with each other — the final score is not a simple sum of these bars.
Share of tasks AI can handle today
Work that requires human presence or coordination
How strong local hiring demand is for this role
How complete the underlying data is
Workflow profile
How this role's daily work breaks down across different dimensions.
Workflow dimensions (0 = low, 1 = high)
US employment data
Employment overview
Share of job tasks AI can currently perform
Annual median wage
Projected employment change 2024–2034
Education and training typically needed
Key metrics
Job zone
2The occupation usually needs some preparation before entry.
Median wage
USD 36,670USD 31,460 to USD 44,510
Openings
36.3K6.7% projected change
Median age
47.682K employed
What this job involves
Drive a motor vehicle to transport passengers on a planned or scheduled basis. May collect a fare. Includes nonemergency medical transporters and hearse drivers.
Entry requirements: Some preparation
The occupation usually needs some preparation before entry.
Wage context
Median annual
USD 36,670
Mean annual
USD 39,070
10th percentile: USD 27,490
25th percentile: USD 31,460
75th percentile: USD 44,510
90th percentile: USD 52,910
Hourly median: USD 18
Employment: 229,630 workers
Demand outlook
Current employment
243.9K
Projected employment
260.3K
Openings: 36.3K
Projected change: 6.7%
Education: No formal educational credential
Work experience: None
On-the-job training: Short-term on-the-job training
Median wage: USD 36,670
Overall employment of taxi drivers, shuttle drivers, and chauffeurs is projected to grow 9 percent from 2024 to 2034, much faster than the average for all occupations.
Workforce profile
Based on a survey of workers currently in this occupation.
Protects from AI displacement
- Can telework <0.5% of workers
- License required 35.5% of workers
Typical background
- Certificate 25.9% of workers
- No education requirement 44.7% of workers
- High school diploma 55.3% of workers
- On-the-job training 7.64% of workers
- Prior work experience 32.2% of workers
Other characteristics
- Specific vocational preparation <5% of workers
Day-to-day work
Taxi drivers (including ride-hailing drivers), shuttle drivers, and chauffeurs transport people to and from the places they need to go.
Some taxi drivers, shuttle drivers, and chauffeurs work part time. Work schedules vary and may include early mornings, evenings, or weekends.
Taxi drivers, shuttle drivers, and chauffeurs typically have no formal educational requirements. They typically get brief on-the-job training. They also may need a special driver’s license, such as a taxi or limousine license.
Key tasks
- 1. Test vehicle equipment, such as lights, brakes, horns, or windshield wipers, to ensure proper operation. · AI can do 0%
- 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. · AI can do 0%
- 3. Comply with traffic regulations to operate vehicles in a safe and courteous manner. · AI can do 0%
- 4. Follow relevant safety regulations and state laws governing vehicle operation, and ensure that passengers follow safety regulations. · AI can do 0%
- 5. Report any vehicle malfunctions or needed repairs. · AI can do 0%
- 6. Drive shuttle busses, limousines, company cars, or privately owned vehicles to transport passengers. · AI can do 0%
Tools commonly used
Work environment
- In an Enclosed Vehicle or Operate Enclosed Equipment 5.0/5
- Physical Proximity 4.5/5
- Deal With External Customers or the Public in General 4.4/5
- Outdoors, Exposed to All Weather Conditions 4.3/5
- Contact With Others 4.3/5
- Time Pressure 4.1/5
Who does this work
Median age: 47.6
82K employed · Under 25: 9% · 25–54: 51% · 55+: 40%
Data sources: O*NET 30.2 / OEWS 2024 / ORS 2025 / OOH 2025-08-28 / Projections 2024-34 / CPS 2025 / Anthropic task penetration
Component occupations
How this score works
The score measures how much this role's tasks overlap with current AI capabilities, adjusted for human-only requirements and local job market demand. This is a structural pressure estimate, not a prediction of job losses. Learn how scores work →