Medium AI Risk Fast Growth

Taxi drivers

SOC Code: 53-3054

Taxi drivers carries a 35% AI exposure score (Medium automation risk), with a median annual wage of $36,220 and +11.1% projected employment growth from 2024 to 2034 (BLS), affecting approximately 204,000 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
35% Medium

Proportion of tasks susceptible to AI automation (O*NET analysis)

Projected Growth
+11.1%
2024–2034 (BLS)
+22,600 jobs
Median Annual Wage
$36,220
BLS May 2024
How wage figures are sourced →

AI Exposure vs Industry Growth

Workforce demand by occupation Sanctioned bespoke signature viz (@signature-viz, KIZ-799) showing occupation-level workforce demand from BLS OEWS data. Pure SVG, no external dependencies.Projected Growth 2024-2034 (BLS)Technology+12.8%Healthcare+10.2%Professional+7.8%Education+5.8%Construction+4.5%Finance+4.6%Logistics+3.2%Government+1.2%Manufacturing-2.1%Retail-3.4%
National AI Exposure
40%
Average across all occupations
Avg Wage Growth
+3.2%
Median annual wage change
High-Risk Roles
127
Occupations with >70% AI exposure

Total occupations tracked

832

Covering all SOC major groups

Data currency

2024

BLS Employment Projections

AI exposure avg

40%

Fleet-wide median across all roles

Methodology confidence 92.0%
Industry standard

Composite score weighing O*NET task data completeness, BLS projection methodology, and cross-validation with employer risk grades.

Employment Projections

204,000
Employment 2024
226,600
Projected 2034
+11.1%
Change (%)
+22,600
Change (jobs)

Occupation Insight

Taxi drivers (SOC 53-3054) carries an AI exposure score of 35%, placing it in the Medium 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 below 40% reflects tasks anchored in physical dexterity, unstructured environments, or high-touch human interaction that current AI cannot reliably replicate.

The economic context matters alongside the risk score. BLS counted approximately 204,000 workers in this occupation in 2024, and projects a +11.1% change through 2034 — a strong growth outlook that compensates meaningfully for automation risk. Median annual compensation stands at $36,220, reflecting both skill scarcity and the value employers place on the tasks that remain difficult to automate. Entry typically requires No formal educational credential, 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 Taxi drivers. 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

Typical Education
No formal educational credential
Work Experience
None
On-the-Job Training
Short-term on-the-job training

Top Tasks (O*NET)

  1. 1. Collect fares or vouchers from passengers, and make change or issue receipts as necessary.
  2. 2. Communicate with dispatchers by radio, telephone, or computer to exchange information and receive requests for passenger service.
  3. 3. Complete accident reports when necessary.
  4. 4. Determine fares based on trip distances and times, using taximeters and fee schedules, and announce fares to passengers.
  5. 5. Drive taxicabs or privately owned vehicles to transport passengers.
  6. 6. Follow relevant safety regulations and state laws governing vehicle operation, and ensure that passengers follow safety regulations.
  7. 7. Notify dispatchers or company mechanics of vehicle problems.
  8. 8. Perform minor vehicle repairs, such as cleaning spark plugs, or take vehicles to mechanics for servicing.
  9. 9. Perform routine vehicle maintenance, such as regulating tire pressure and adding gasoline, oil, and water.
  10. 10. Pick up passengers at prearranged locations, at taxi stands, or by cruising streets in high-traffic areas.

Frequently Asked Questions

Will AI replace Taxi drivers?

Taxi drivers has an AI exposure score of 35%, 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 Taxi drivers?

According to BLS Employment Projections 2024-2034, Taxi drivers is projected to grow by 11.1% over the decade. Current employment stands at approximately 204,000 workers.

What skills are needed for Taxi drivers?

Taxi drivers requires a combination of technical knowledge and interpersonal skills. Typical education requirement: No formal educational credential.

How much do Taxi drivers earn?

The median annual wage for Taxi drivers is $36,220, 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 Taxi drivers?

The typical entry-level education for Taxi drivers 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 Taxi drivers?

Taxi drivers 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

1.8
out of 5.0

Medium automation risk based on 10 analyzed tasks. Most tasks require human judgment and are resistant to automation.

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).

Related

Data sourced from official public datasets. See our methodology for details. Retrieved and formatted by PlainWorkforce Editorial