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Singulariki

Taxi Drivers

Occupation · SOC 53-3054.00

Drive a motor vehicle to transport passengers on an unplanned basis and charge a fare, usually based on a meter.

Also called: Cab Driver · Taxi Cab Driver · Taxi Driver · Bicycle Taxi Driver · Driver · Hack Driver · Hacker · Limo Driver (Limousine Driver) · Lyft Driver · Pedicab Driver · Rickshaw Driver · Rideshare Cab Driver

Job family: Transportation and Material Moving Occupations

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Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-53-3054-00/context.md directly.

AI work map

A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.

42nd-percentile task overlap — yet about 22,600 openings a year (+11.1% projected, BLS) . What exposure means →

AI & job outlook

What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.

Exposure to current AI

Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.

Measure Rank vs all occupations Percentile Score
LLM task exposure, γ (OpenAI / Eloundou) Low 33rd 0.3
AI assistant applicability (Microsoft) Moderate 54th 0.2

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.3), with simple added tooling (β 0.3), and including AI-powered software (γ 0.3). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.

How AI is actually used in this job

Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.

Communicate with dispatchers by radio, telephone, or computer to exchange information and receive requests for passenger service. 0.2%
Determine fares based on trip distances and times, using taximeters and fee schedules, and announce fares to passengers. 0.2%

Job outlook

Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.

Outlook Growing fast · +11.1% by 2034
Projected annual openings 22,600
Employment 2024 → 2034 204,000 → 226,600

“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.

Tasks

All 16 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Work activities

Skills in demand

Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.

Tools & technology

Example Category
Facebook Web page creation and editing software Hot technology
Microsoft Excel Spreadsheet software Hot technology
Microsoft Office software Office suite software Hot technology
Microsoft Windows Operating system software Hot technology
Actsoft Comet Tracker Data base user interface and query software
Digital Dispatch Mobile location based services software
Easy Dispatch Mobile location based services software
EventHelix WebTaxi Mobile location based services software
GPC Autocab Mobile location based services software
Mobile Knowledge Cabmate Mobile location based services software
PC Dispatch Mobile location based services software
Penchant Software dispatchOffice Data base user interface and query software
Piccolo Software PiccoloTaxi Mobile location based services software
TranWare Enterprise Suite Data base user interface and query software
TSS Wireless Fleet Management Suite Mobile location based services software

How to get in

Job zone
Zone 2 — Job Zone 1-2: Very Little to Some Preparation Needed
Education
Usually requires a high school diploma or GED, though some occupations may not.
Typical entry-level education
No formal educational credential · BLS, the typical path — not a requirement
Related experience
Some occupations may need little or no previous experience; others require several months to a year of experience. For example, landscaping and groundskeeping workers might require very little training or previous experience, while agricultural equipment operators can benefit from on-the job training.
Preparation level
SVP (Below 6.0) — total schooling plus on-the-job experience.

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Interest areas

Transportation/Machine Operation 6.7
Personal Service 3.4
Mechanics/Electronics 2.6
Physical/Manual Labor 2.3
Public Speaking 1.4
Accounting 1.4

Career interests (Holland / RIASEC)

Realistic 5.7
Conventional 4.8
Social 2.8
Enterprising 2.5

Work styles

Dependability 2.3
Integrity 1.7
Stress Tolerance 1.6
Cautiousness 1.6
Self-Control 1.6
Cooperation 1.4

Wages & employment

U.S. · annual wages (BLS OEWS)

$27k10th$31k25th$36kMedian$41k75th$62k90th
Annual wages by percentile — U.S. (BLS OEWS). The light band spans the 10th–90th percentile; the darker band is the middle half (25th–75th); the line is the median.
204k2024227k2034 (proj.)+11.1% · Growing fast
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $27,280
25th percentile $31,320
Median (50th) $36,220
75th percentile $40,630
90th percentile $61,920
People employed 17,510

Industries that employ this occupation

Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.

Industry Workers National median pay
Transportation and Warehousing · Sector 17,060 $36,510
Ambulance Services · National industry 80 $29,990

Where this work is most concentrated

Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).

Industry Concentration Workers
Transportation and Warehousing · Sector 20.32× 17,060

Part of the Supply Chain & Transportation career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Taxi Drivers sits at the 42nd percentile of AI task-overlap and the 6th percentile of median pay, placed here against 12 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Taxi Drivers Industrial Truck and Tractor Operators Heavy and Tractor-Trailer Truck Drivers Couriers and Messengers Light Truck Drivers Subway and Streetcar Operators Bus Drivers, School Railroad Conductors and Yardmasters Dispatchers, Except Police, Fire, and Ambulance AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.

What you can do with this

Options the data surfaces for Taxi Drivers — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Write a report on thisheadline · factoids · citation

Taxi Drivers show 42nd-percentile AI task overlap — and about 22,600 annual U.S. openings

  • Taxi Drivers rank in the 42nd percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
  • The occupation is projected to see about 22,600 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
  • BLS projects employment to be growing fast (+11.1%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $36,220, across about 17,510 U.S. workers.BLS OEWS (May 2024)
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Taxi Drivers show 42nd-percentile AI task overlap — and about 22,600 annual U.S. openings

• Taxi Drivers rank in the 42nd percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE)
• The occupation is projected to see about 22,600 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34)
• BLS projects employment to be growing fast (+11.1%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $36,220, across about 17,510 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Taxi Drivers". https://singulariki.com/roles/role-53-3054-00
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.

AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom

Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Taxi Drivers." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/roles/role-53-3054-00

APA

Singulariki. (2026). Taxi Drivers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-53-3054-00

BibTeX
@misc{singulariki-role-53-3054-00,
  title  = {Taxi Drivers},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/roles/role-53-3054-00}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.

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