Skip to content
Singulariki

Phlebotomists

Occupation · SOC 31-9097.00

Draw blood for tests, transfusions, donations, or research. May explain the procedure to patients and assist in the recovery of patients with adverse reactions.

Also called: Lab Liaison Technician · Mobile Examiner · Phlebotomist · Phlebotomy Technician · Patient Service Technician (PST) · Registered Phlebotomist · Certified Phlebotomist · Certified Phlebotomy Technician · Clinical Phlebotomist · Collections Technician · Laboratory Phlebotomist · Long Term Care Phlebotomist

Job family: Healthcare Support Occupations

Take this to your AI
Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-31-9097-00/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.

22nd-percentile task overlap — yet about 18,400 openings a year (+5.6% 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
Overall AI exposure (Felten et al.) Moderate 41st -0.3
LLM task exposure, γ (OpenAI / Eloundou) Low 27th 0.2
AI assistant applicability (Microsoft) Low 3rd 0.0

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.2), and including AI-powered software (γ 0.2). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.

This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.

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.

Document route of specimens from collection to laboratory analysis and diagnosis. 0.5%

Job outlook

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

Outlook About average · +5.6% by 2034
Projected annual openings 18,400
Employment 2024 → 2034 139,700 → 147,500

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

Where this work sits on the global GenAI gradient

The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.

15% mean task exposure (2025)
18th percentile of 427 placed occupations
+3 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Personal Care Workers in Health Services Not Elsewhere Classified · 5329 15% Not exposed

Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.

Tasks

All 24 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Emerging tasks

Newer responsibilities O*NET has flagged as growing for this occupation.

  • Confirm the identities of patients by verifying their personal information.

Work activities

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Knowledge

Customer and Personal Service 4.6
English Language 3.8
Administrative 3.4
Education and Training 3.4
Psychology 3.2
Computers and Electronics 3.1
Medicine and Dentistry 3.1
Administration and Management 3.0
Public Safety and Security 3.0
Biology 2.9

Abilities

Near Vision 3.9
Arm-Hand Steadiness 3.8
Problem Sensitivity 3.6
Oral Comprehension 3.5
Written Comprehension 3.5
Oral Expression 3.5
Deductive Reasoning 3.4
Speech Clarity 3.4
Information Ordering 3.3
Finger Dexterity 3.3
Speech Recognition 3.3
Written Expression 3.1
Inductive Reasoning 3.1
Category Flexibility 3.1
Flexibility of Closure 3.1
Perceptual Speed 3.0
Selective Attention 3.0
Manual Dexterity 3.0

Transferable skills

Service Orientation 3.6
Social Perceptiveness 3.5
Coordination 3.1
Instructing 3.0
Time Management 3.0

Essential skills

Active Listening 3.4
Speaking 3.4
Critical Thinking 3.3
Reading Comprehension 3.1
Writing 3.1
Monitoring 3.1
Active Learning 3.0

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
Microsoft Office software Office suite software Hot technology In demand
JavaScript Web platform development software Hot technology
MEDITECH software Medical software Hot technology
Microsoft Excel Spreadsheet software Hot technology
Microsoft Outlook Electronic mail software Hot technology
Microsoft Word Word processing software Hot technology
Donor management system software Medical software
Electronic medical record EMR software Medical software
Iatric Systems MobiLab Medical software
Laboratory information system LIS Medical software
Medical procedure coding software Medical software
MEDITECH Blood Bank Medical software
MEDITECH Laboratory and Microbiology Medical software
Scheduling software Calendar and scheduling software

Work context

How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.

Face-to-Face Discussions with Individuals and Within Teams 4.8
Contact With Others 4.8
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 4.8
Importance of Being Exact or Accurate 4.8
Telephone Conversations 4.7
Work With or Contribute to a Work Group or Team 4.6
Exposed to Disease or Infections 4.5
Consequence of Error 4.5
Spend Time Making Repetitive Motions 4.5
Time Pressure 4.5
Health and Safety of Other Workers 4.4
E-Mail 4.3
Deal With External Customers or the Public in General 4.3
Spend Time Standing 4.3
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 4.3
Importance of Repeating Same Tasks 4.2
Dealing With Unpleasant, Angry, or Discourteous People 4.1
Frequency of Decision Making 4.1
Indoors, Environmentally Controlled 4.1
Physical Proximity 4.0
Impact of Decisions on Co-workers or Company Results 4.0
Work Outcomes and Results of Other Workers 3.9
Coordinate or Lead Others in Accomplishing Work Activities 3.8
Freedom to Make Decisions 3.8
Spend Time Walking or Running 3.7
Determine Tasks, Priorities and Goals 3.7
Conflict Situations 3.6
Written Letters and Memos 3.3
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 3.3
Spend Time Bending or Twisting Your Body 3.3
Wear Specialized Protective or Safety Equipment such as Breathing Apparatus, Safety Harness, Full Protection Suits, or Radiation Protection 3.2
Level of Competition 3.1
Dealing with Violent or Physically Aggressive People 3.0
Exposed to Contaminants 2.9
Exposed to Hazardous Conditions 2.9
Exposed to Cramped Work Space, Awkward Positions 2.8
Spend Time Kneeling, Crouching, Stooping, or Crawling 2.7
Pace Determined by Speed of Equipment 2.5
Public Speaking 2.5
Degree of Automation 2.3

How to get in

Job zone
Zone 3 — Job Zone Three: Medium Preparation Needed
Education
Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree.
Typical entry-level education
Postsecondary nondegree award · BLS, the typical path — not a requirement
Related experience
Previous work-related skill, knowledge, or experience is required for these occupations. For example, an electrician must have completed three or four years of apprenticeship or several years of vocational training, and often must have passed a licensing exam, in order to perform the job.
Preparation level
SVP (6.0 to < 7.0) — total schooling plus on-the-job experience.

What to study: Health Professions and Related Programs . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.

Education of current workers

Share of people in this occupation at each level of education.

Post-Secondary Certificate 45.5%
High School Diploma 31.8%
Some College Courses 13.6%
Associate's Degree (or other 2-year degree) 4.5%
Post-Baccalaureate Certificate 4.5%

Interests & work styles

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

Interest areas

Health Care Service 5.7
Medical Science 3.3
Life Science 3.0
Teaching/Education 2.3
Physical/Manual Labor 2.2
Office Work 2.0

Career interests (Holland / RIASEC)

Realistic 5.4
Conventional 5.4
Investigative 4.7
Social 3.6

Work styles

Dependability 4.0
Attention to Detail 3.0
Cautiousness 2.3
Integrity 2.1
Stress Tolerance 2.0
Cooperation 1.9

Wages & employment

U.S. · annual wages (BLS OEWS)

$35k10th$38k25th$44kMedian$48k75th$58k90th
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.
140k2024148k2034 (proj.)+5.6% · About average
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $34,860
25th percentile $37,540
Median (50th) $43,660
75th percentile $48,170
90th percentile $57,750
People employed 138,880

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
Health Care and Social Assistance · Sector 132,900 $43,660
Administrative and Support and Waste Management and Remediation Services · Sector 2,870 $44,450
Temporary Help Services · National industry 2,590 $44,570
Professional, Scientific, and Technical Services · Sector 1,250 $38,290
Educational Services · Sector 610 $42,510
Management of Companies and Enterprises · Sector 290 $62,180
Testing Laboratories and Services · National industry 250 $42,490
Wholesale Trade · Sector 230 $38,240
Outpatient Mental Health and Substance Abuse Centers · National industry 100 $41,310
Other Services (except Public Administration) · Sector 50 $48,780
Offices of Chiropractors · National industry 40 $39,790
Manufacturing · Sector 30 $35,280

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
Health Care and Social Assistance · Sector 6.39× 132,900
Testing Laboratories and Services · National industry 1.63× 250
Temporary Help Services · National industry 1.08× 2,590
Outpatient Mental Health and Substance Abuse Centers · National industry 0.36× 100
Administrative and Support and Waste Management and Remediation Services · Sector 0.35× 2,870
Professional, Scientific, and Technical Services · Sector 0.13× 1,250
Management of Companies and Enterprises · Sector 0.11× 290
Educational Services · Sector 0.05× 610

Part of the Healthcare & Human Services career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Phlebotomists sits at the 22nd percentile of AI task-overlap and the 18th percentile of median pay, placed here against 8 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Phlebotomists Surgical Assistants Surgical Technologists Diagnostic Medical Sonographers Neurodiagnostic Technologists Cardiovascular Technologists and Technicians 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 Phlebotomists — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Skills that travel

Capabilities this work builds that are used across many other occupations.

Paths in

How people typically prepare for this work.

Zoom out

On the global GenAI exposure gradient this work sits around the 18th percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Phlebotomists show 22nd-percentile AI task overlap — and about 18,400 annual U.S. openings

  • Phlebotomists rank in the 22nd percentile (Low 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 18,400 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 about average (+5.6%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $43,660, across about 138,880 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Phlebotomists show 22nd-percentile AI task overlap — and about 18,400 annual U.S. openings

• Phlebotomists rank in the 22nd percentile (Low 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 18,400 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 about average (+5.6%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $43,660, across about 138,880 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Phlebotomists". https://singulariki.com/roles/role-31-9097-00
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. "Phlebotomists." 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; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-31-9097-00

APA

Singulariki. (2026). Phlebotomists. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-31-9097-00

BibTeX
@misc{singulariki-role-31-9097-00,
  title  = {Phlebotomists},
  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; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/roles/role-31-9097-00}
}

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

Embed this chart

Paste this into any page. It links back here for attribution.