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Work Outcomes and Results of Other Workers

Work context · O*NET

Work Outcomes and Results of Other Workers 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 Interpersonal Relationships. O*NET defines it by asking workers: "How responsible is the worker for work outcomes and results of other workers?." It is rated for 894 occupations, which average 3.30 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 3.30 / 5 Mean across all 894 rated occupations
Range across occupations 1.36–4.92 Lowest to highest occupation rating (spread 3.56)
Intensity vs. other dimensions 70th 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
First-Line Supervisors of Personal Service Workers 4.92
Prosthodontists 4.92
Orthodontists 4.86
First-Line Supervisors of Security Workers 4.82
Dentists, General 4.77
Oral and Maxillofacial Surgeons 4.76
Urologists 4.76
Biofuels Production Managers 4.74
Biomass Power Plant Managers 4.74
Geothermal Production Managers 4.73
Chief Executives 4.70
First-Line Supervisors of Material-Moving Machine and Vehicle Operators 4.70
Dispatchers, Except Police, Fire, and Ambulance 4.69
Postmasters and Mail Superintendents 4.69
First-Line Supervisors of Helpers, Laborers, and Material Movers, Hand 4.68
Education Administrators, Kindergarten through Secondary 4.66
Farm Labor Contractors 4.63
First-Line Supervisors of Firefighting and Prevention Workers 4.62
Hydroelectric Production Managers 4.62
Food Service Managers 4.61
Education and Childcare Administrators, Preschool and Daycare 4.58
Rotary Drill Operators, Oil and Gas 4.58
Lodging Managers 4.55
Computer and Information Systems Managers 4.54
Fence Erectors 4.54

Occupations where it's lowest

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

Occupation Rating Score
Watch and Clock Repairers 1.36
Fine Artists, Including Painters, Sculptors, and Illustrators 1.63
Massage Therapists 1.65
Cutting, Punching, and Press Machine Setters, Operators, and Tenders, Metal and Plastic 1.68
Speech-Language Pathology Assistants 1.68
Poets, Lyricists and Creative Writers 1.71
Postal Service Mail Carriers 1.75
Camera and Photographic Equipment Repairers 1.86
Musical Instrument Repairers and Tuners 1.86
Marriage and Family Therapists 1.89
Legal Secretaries and Administrative Assistants 1.92
Models 1.95
Credit Counselors 1.96
Ushers, Lobby Attendants, and Ticket Takers 1.96
School Psychologists 1.99
Craft Artists 2.00
Music Therapists 2.00
Economics Teachers, Postsecondary 2.01
History Teachers, Postsecondary 2.02
Grinding and Polishing Workers, Hand 2.04
Credit Analysts 2.05
Crossing Guards and Flaggers 2.06
Bartenders 2.11
Coin, Vending, and Amusement Machine Servicers and Repairers 2.11
Funeral Attendants 2.11

How AI is used by roles where work outcomes and results of other workers 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). 54.1% of the 629 occupations where this condition is present carry observed AI-usage data (340 roles).

Across those roles, 45.4% of AI conversations are people working with AI and 31.6% hand a task to AI , with an average autonomy of 3.59 / 5.

Collaboration pattern Share What it means
directive 29.4% AI does it; you give the instruction
task iteration 23.8% you and AI go back and forth
learning 19.3% you ask AI to explain or teach
validation 2.3% you do it; AI checks your work
feedback loop 2.2% AI does it, then adjusts from your feedback

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
Biological Science Teachers, Postsecondary 3.5 63.2% 4.0/5
Editors 3.4 68.2% 4.0/5
Instructional Coordinators 4.0 53.1% 4.0/5
Recreation and Fitness Studies Teachers, Postsecondary 3.2 66.2% 3.3/5
Education Teachers, Postsecondary 3.5 65.3% 3.5/5
Health Specialties Teachers, Postsecondary 3.5 66.2% 3.5/5
Atmospheric, Earth, Marine, and Space Sciences Teachers, Postsecondary 3.1 66.3% 4.0/5
Chemistry Teachers, Postsecondary 4.0 66.0% 4.0/5
Nursing Instructors and Teachers, Postsecondary 4.0 65.8% 3.8/5
Forestry and Conservation Science Teachers, Postsecondary 3.3 65.3% 4.0/5
Engineering Teachers, Postsecondary 3.5 67.0% 4.0/5
Environmental Science Teachers, Postsecondary 3.5 66.3% 4.0/5

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. "Work Outcomes and Results of Other Workers." 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/work-outcomes-and-results-of-other-workers

APA

Singulariki. (2026). Work Outcomes and Results of Other Workers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/work-context/work-outcomes-and-results-of-other-workers

BibTeX
@misc{singulariki-work-outcomes-and-results-of-other-workers,
  title  = {Work Outcomes and Results of Other Workers},
  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/work-outcomes-and-results-of-other-workers}
}

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