Skip to content
Singulariki

Spend Time Making Repetitive Motions

Work context · O*NET

Spend Time Making Repetitive Motions 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: "How much does this job require making repetitive motions?." It is rated for 894 occupations, which average 3.04 out of 5 (moderate 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 3.04 / 5 Mean across all 894 rated occupations
Range across occupations 1.39–5.00 Lowest to highest occupation rating (spread 3.61)
Intensity vs. other dimensions 57th 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
Dental Hygienists 5.00
Roof Bolters, Mining 4.96
Shoe Machine Operators and Tenders 4.85
Maids and Housekeeping Cleaners 4.77
Histology Technicians 4.76
Meat, Poultry, and Fish Cutters and Trimmers 4.76
Diagnostic Medical Sonographers 4.72
Hairdressers, Hairstylists, and Cosmetologists 4.71
Histotechnologists 4.71
Cytotechnologists 4.68
Tire Builders 4.66
Coil Winders, Tapers, and Finishers 4.65
Postal Service Mail Carriers 4.64
Coating, Painting, and Spraying Machine Setters, Operators, and Tenders 4.61
Dentists, General 4.61
Data Entry Keyers 4.58
Floor Sanders and Finishers 4.57
Tellers 4.57
Brickmasons and Blockmasons 4.56
Gambling Change Persons and Booth Cashiers 4.56
Hoist and Winch Operators 4.56
Manicurists and Pedicurists 4.54
Postal Service Mail Sorters, Processors, and Processing Machine Operators 4.54
Cement Masons and Concrete Finishers 4.50
Medical Equipment Preparers 4.49

Occupations where it's lowest

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

Occupation Rating Score
Marriage and Family Therapists 1.39
Business Teachers, Postsecondary 1.41
Economists 1.46
Family Medicine Physicians 1.50
Foreign Language and Literature Teachers, Postsecondary 1.50
Astronomers 1.52
Sales Managers 1.52
Directors, Religious Activities and Education 1.59
Urban and Regional Planners 1.60
Fire-Prevention and Protection Engineers 1.62
Arbitrators, Mediators, and Conciliators 1.65
Materials Scientists 1.65
Operations Research Analysts 1.65
Sustainability Specialists 1.65
Electronics Engineers, Except Computer 1.67
School Psychologists 1.67
Clinical and Counseling Psychologists 1.68
Entertainment and Recreation Managers, Except Gambling 1.68
Automotive Engineers 1.71
Dietitians and Nutritionists 1.72
Mechatronics Engineers 1.72
Environmental Restoration Planners 1.73
Fuel Cell Engineers 1.73
Genetic Counselors 1.74
Midwives 1.74

How AI is used by roles where spend time making repetitive motions 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). 48.7% of the 448 occupations where this condition is present carry observed AI-usage data (218 roles).

Across those roles, 39.5% of AI conversations are people working with AI and 33.4% hand a task to AI , with an average autonomy of 3.42 / 5.

Collaboration pattern Share What it means
directive 30.5% AI does it; you give the instruction
task iteration 20.1% you and AI go back and forth
learning 17.8% you ask AI to explain or teach
feedback loop 2.8% AI does it, then adjusts from your feedback
validation 1.5% 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
Technical Writers 4.0 54.2% 4.0/5
Editors 3.4 68.2% 4.0/5
Poets, Lyricists and Creative Writers 3.4 46.2% 4.0/5
Office Clerks, General 3.6 36.5% 3.0/5
Education Teachers, Postsecondary 3.5 65.3% 3.5/5
Library Science Teachers, Postsecondary 3.4 66.2% 3.0/5
Secretaries and Administrative Assistants, Except Legal, Medical, and Executive 3.0 36.3% 3.0/5
Cashiers 3.2 42.8% 3.0/5
Word Processors and Typists 4.2 38.4% 3.0/5
Correspondence Clerks 3.6 54.8% 3.0/5
Credit Counselors 3.4 71.6% 3.0/5
Executive Secretaries and Executive Administrative Assistants 3.3 52.8% 3.0/5

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. "Spend Time Making Repetitive Motions." 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/spend-time-making-repetitive-motions

APA

Singulariki. (2026). Spend Time Making Repetitive Motions. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/work-context/spend-time-making-repetitive-motions

BibTeX
@misc{singulariki-spend-time-making-repetitive-motions,
  title  = {Spend Time Making Repetitive Motions},
  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/spend-time-making-repetitive-motions}
}

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