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Physical Proximity

Work context · O*NET

Physical Proximity is a work-context dimension in the O*NET database — one of the standardized conditions O*NET uses to describe the environment a job is done in , grouped under Physical Work Conditions. O*NET defines it by asking workers: "To what extent does this job require the worker to perform job tasks physically close to other people?." It is rated for 894 occupations, which average 3.42 out of 5 (high relative to other context dimensions).

How it's measured

O*NET rates each occupation on this dimension on a 1–5 context-importance scale (the CX scale), where higher means the condition is a more frequent or more central part of the work. The figures on this page are those occupation-level ratings — a description of working conditions as workers report them, not a judgment about pay, difficulty, or whether a job is "good."

Economy-wide average 3.42 / 5 Mean across all 894 rated occupations
Range across occupations 1.29–5.00 Lowest to highest occupation rating (spread 3.71)
Intensity vs. other dimensions 75th pct Where this dimension's average ranks among all O*NET work-context dimensions

Occupations where it's highest

The occupations that rate this condition strongest on the 1–5 scale.

Occupation Rating Score
Choreographers 5.00
Sports Medicine Physicians 5.00
Dentists, General 4.97
Family Medicine Physicians 4.97
Physical Therapist Assistants 4.97
Oral and Maxillofacial Surgeons 4.96
Prosthodontists 4.96
Makeup Artists, Theatrical and Performance 4.95
Surgical Technologists 4.95
Nurse Midwives 4.94
Ophthalmologists, Except Pediatric 4.92
Physical Therapists 4.92
Radiation Therapists 4.92
Dancers 4.91
Acupuncturists 4.89
Cardiovascular Technologists and Technicians 4.88
Surgical Assistants 4.87
Elementary School Teachers, Except Special Education 4.86
Orderlies 4.86
Teaching Assistants, Special Education 4.86
Personal Care Aides 4.85
Chiropractors 4.84
Orthodontists 4.84
Occupational Therapy Assistants 4.83
Diagnostic Medical Sonographers 4.81

Occupations where it's lowest

The occupations that rate this condition weakest — where it is rarely part of the work.

Occupation Rating Score
Fallers 1.29
Fine Artists, Including Painters, Sculptors, and Illustrators 1.37
Poets, Lyricists and Creative Writers 1.38
Logging Equipment Operators 1.55
Software Developers 1.71
Wellhead Pumpers 1.74
Craft Artists 1.96
Dredge Operators 2.09
Sales Engineers 2.13
Pesticide Handlers, Sprayers, and Applicators, Vegetation 2.14
Petroleum Engineers 2.15
Budget Analysts 2.19
Potters, Manufacturing 2.20
Laborers and Freight, Stock, and Material Movers, Hand 2.22
Compensation and Benefits Managers 2.25
Bridge and Lock Tenders 2.26
Environmental Economists 2.26
Cleaning, Washing, and Metal Pickling Equipment Operators and Tenders 2.29
Musical Instrument Repairers and Tuners 2.29
Animal Breeders 2.30
Computer and Information Research Scientists 2.30
Engineering Teachers, Postsecondary 2.31
Physicians, Pathologists 2.31
Political Scientists 2.32
Operations Research Analysts 2.33

How AI is used by roles where physical proximity is central

A working condition is not itself "being automated" — but we can look at the occupations where it is most central and ask how those people actually use AI. This rolls the Anthropic Economic Index per-role signal up across the roles that rate this condition 3 or higher (CX-rating-weighted). 54.9% of the 621 occupations where this condition is present carry observed AI-usage data (341 roles).

Across those roles, 43.6% of AI conversations are people working with AI and 31.8% hand a task to AI , with an average autonomy of 3.54 / 5.

Collaboration pattern Share What it means
directive 29.2% AI does it; you give the instruction
learning 21.2% you ask AI to explain or teach
task iteration 20.4% you and AI go back and forth
feedback loop 2.6% AI does it, then adjusts from your feedback
validation 2.1% you do it; AI checks your work

Roles behind this signal

The occupations where this condition is most central and that also have the most AEI data. "Works with AI" is the role's share of conversations that augment rather than automate.

Occupation Condition (1–5) Works with AI Autonomy
English Language and Literature Teachers, Postsecondary 3.0 63.2% 4.0/5
Editors 3.1 68.2% 4.0/5
Foreign Language and Literature Teachers, Postsecondary 3.1 65.2% 3.0/5
Office Clerks, General 3.6 36.5% 3.0/5
Educational, Guidance, School, and Vocational Counselors 3.4 70.6% 4.0/5
Actors 4.8 43.3% 4.0/5
Recreation and Fitness Studies Teachers, Postsecondary 3.4 66.2% 3.3/5
Criminal Justice and Law Enforcement Teachers, Postsecondary 3.3 65.7% 3.3/5
Atmospheric, Earth, Marine, and Space Sciences Teachers, Postsecondary 3.3 66.3% 4.0/5
Instructional Coordinators 3.2 53.1% 4.0/5
Art, Drama, and Music Teachers, Postsecondary 4.0 66.1% 4.0/5
Economics Teachers, Postsecondary 3.1 65.7% 3.3/5

Source: Anthropic Economic Index (2026-01-15-v4-plus-2025-03-27-v2) over a sample of Claude.ai Free and Pro conversations — not all AI tools and not the whole workforce. This is a role-weighted projection from AEI-linked occupations where this condition is central, not a direct measurement of AI use for the condition itself. Shares are weighted by how central the condition is to each role; some conversations are left unclassified by Anthropic's taxonomy, so shares need not sum to 100.

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. "Physical Proximity." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27). Accessed June 7, 2026. https://singulariki.com/work-context/physical-proximity

APA

Singulariki. (2026). Physical Proximity. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/work-context/physical-proximity

BibTeX
@misc{singulariki-physical-proximity,
  title  = {Physical Proximity},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27). Accessed June 7, 2026},
  url    = {https://singulariki.com/work-context/physical-proximity}
}

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