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Podiatrists

Occupation · SOC 29-1081.00

Diagnose and treat diseases and deformities of the human foot.

Also called: Doctor Podiatric Medicine (DPM) · Doctor of Podiatric Medicine (DPM) · Podiatric Surgeon · Podiatrist · Attending Physician · Doctor of Podiatric Medicine and Surgery (DPM and Surgery) · Foot and Ankle Surgeon · Physician · Podiatric Physician · Chiropodist · Doctor of Podiatry · Foot Doctor

Job family: Healthcare Practitioners and Technical Occupations

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Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-29-1081-00/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.

52nd-percentile task overlap — yet about 300 openings a year (+1.8% 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 63rd 0.6
LLM task exposure, γ (OpenAI / Eloundou) Moderate 48th 0.6
AI assistant applicability (Microsoft) Moderate 48th 0.1

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.0), with simple added tooling (β 0.3), and including AI-powered software (γ 0.6). 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.

Historical automation estimate (2013)

A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.

Frey–Osborne probability 0.0 · 3rd percentile among occupations · Low

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 · +1.8% by 2034
Projected annual openings 300
Employment 2024 → 2034 9,700 → 9,900

“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.

20% mean task exposure (2025)
32nd percentile of 427 placed occupations
+3 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Health Professionals Not Elsewhere Classified · 2269 20% 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 11 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

Knowledge, skills & abilities

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

Knowledge

Medicine and Dentistry 5.0
Customer and Personal Service 4.6
English Language 4.6
Education and Training 4.1
Computers and Electronics 3.8
Administration and Management 3.8
Biology 3.8
Chemistry 3.4
Psychology 3.4
Personnel and Human Resources 3.3
Economics and Accounting 3.2
Therapy and Counseling 3.2

Abilities

Deductive Reasoning 4.3
Written Comprehension 4.1
Written Expression 4.1
Problem Sensitivity 4.1
Inductive Reasoning 4.1
Oral Comprehension 4.0
Oral Expression 4.0
Speech Recognition 4.0
Speech Clarity 4.0
Near Vision 3.9
Category Flexibility 3.6
Flexibility of Closure 3.6
Information Ordering 3.5
Fluency of Ideas 3.3

Essential skills

Reading Comprehension 4.0
Active Listening 4.0
Speaking 4.0
Critical Thinking 4.0
Active Learning 4.0
Writing 3.9
Monitoring 3.9
Science 3.5
Learning Strategies 3.3

Transferable skills

Social Perceptiveness 3.9
Judgment and Decision Making 3.9
Complex Problem Solving 3.8
Coordination 3.4
Service Orientation 3.3

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 Access Data base user interface and query software Hot technology
Advantage Software Podiatry Advantage Medical software
DocSite Registry Medical software
Email software Electronic mail software
Fox Meadows Software MediNotes e Medical software
Quick Notes PDQ Podiatry Medical software
Scanner imaging software Graphics or photo imaging software
Web browser software Internet browser 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.

Freedom to Make Decisions 5.0
Face-to-Face Discussions with Individuals and Within Teams 5.0
Determine Tasks, Priorities and Goals 5.0
Contact With Others 4.8
Importance of Being Exact or Accurate 4.8
Frequency of Decision Making 4.7
Exposed to Disease or Infections 4.7
Impact of Decisions on Co-workers or Company Results 4.7
E-Mail 4.6
Telephone Conversations 4.5
Physical Proximity 4.5
Work Outcomes and Results of Other Workers 4.5
Written Letters and Memos 4.5
Work With or Contribute to a Work Group or Team 4.4
Time Pressure 4.4
Health and Safety of Other Workers 4.2
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 4.2
Coordinate or Lead Others in Accomplishing Work Activities 4.1
Level of Competition 4.0
Deal With External Customers or the Public in General 3.9
Indoors, Environmentally Controlled 3.8
Dealing With Unpleasant, Angry, or Discourteous People 3.7
Consequence of Error 3.7
Conflict Situations 3.5
Importance of Repeating Same Tasks 3.5
Spend Time Sitting 3.4
Exposed to Radiation 3.3
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 3.3
Spend Time Standing 3.2
Spend Time Making Repetitive Motions 2.9
Exposed to Contaminants 2.8
Exposed to Minor Burns, Cuts, Bites, or Stings 2.6
Spend Time Bending or Twisting Your Body 2.5
Wear Specialized Protective or Safety Equipment such as Breathing Apparatus, Safety Harness, Full Protection Suits, or Radiation Protection 2.4
Spend Time Walking or Running 2.3
Public Speaking 2.3
Exposed to Hazardous Conditions 2.1
Exposed to Hazardous Equipment 2.0
Spend Time Kneeling, Crouching, Stooping, or Crawling 2.0
Exposed to Cramped Work Space, Awkward Positions 2.0

How to get in

Job zone
Zone 5 — Job Zone Five: Extensive Preparation Needed
Education
Most of these occupations require graduate school. For example, they may require a master's degree, and some require a Ph.D., M.D., or J.D. (law degree).
Typical entry-level education
Doctoral or professional degree · BLS, the typical path — not a requirement
Related experience
Extensive skill, knowledge, and experience are needed for these occupations. Many require more than five years of experience. For example, surgeons must complete four years of college and an additional five to seven years of specialized medical training to be able to do their job.
Preparation level
SVP (8.0 and above) — total schooling plus on-the-job experience.

What to study: Health Professions and Related Programs , Medical Residency/Fellowship 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.

Doctoral Degree 52.9%
Post-Doctoral Training 32.4%
First Professional Degree 14.1%
High School Diploma 0.7%

Interests & work styles

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

Interest areas

Health Care Service 6.6
Medical Science 5.2
Life Science 4.1
Teaching/Education 2.8
Social Service 2.4
Personal Service 2.3
Professional Advising 2.3
Public Speaking 2.2

Career interests (Holland / RIASEC)

Investigative 5.8
Realistic 5.3
Social 4.9
Conventional 3.3

Work styles

Dependability 5.0
Attention to Detail 4.0
Integrity 3.0
Cautiousness 2.5

Wages & employment

U.S. · annual wages (BLS OEWS)

10k202410k2034 (proj.)+1.8% · 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 $57,500
25th percentile $91,130
Median (50th) $152,800
75th percentile $217,960
90th percentile —
People employed 9,520

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 8,530 $141,790

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 5.98× 8,530

Part of the Healthcare & Human Services career cluster.

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 Podiatrists — 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.

Adjacent roles

Occupations O*NET rates as related — the nearby moves on the map.

Paths in

How people typically prepare for this work.

Zoom out

On the global GenAI exposure gradient this work sits around the 32nd percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Podiatrists show 52nd-percentile AI task overlap — and about 300 annual U.S. openings

  • Podiatrists rank in the 52nd 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 300 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 (+1.8%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $152,800, across about 9,520 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Podiatrists show 52nd-percentile AI task overlap — and about 300 annual U.S. openings

• Podiatrists rank in the 52nd 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 300 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 (+1.8%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $152,800, across about 9,520 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Podiatrists". https://singulariki.com/roles/role-29-1081-00
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. "Podiatrists." 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; 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; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-29-1081-00

APA

Singulariki. (2026). Podiatrists. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-29-1081-00

BibTeX 
@misc{singulariki-role-29-1081-00,
  title  = {Podiatrists},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; 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; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/roles/role-29-1081-00}
}

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

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