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E-Mail

Work context · O*NET

E-Mail 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 frequently does your job require you to use E-mail?." It is rated for 894 occupations, which average 3.95 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 3.95 / 5 Mean across all 894 rated occupations
Range across occupations 1.00–5.00 Lowest to highest occupation rating (spread 4.00)
Intensity vs. other dimensions 86th 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
Actuaries 5.00
Advertising Sales Agents 5.00
Advertising and Promotions Managers 5.00
Aerospace Engineers 5.00
Agents and Business Managers of Artists, Performers, and Athletes 5.00
Agricultural Engineers 5.00
Animal Scientists 5.00
Appraisers and Assessors of Real Estate 5.00
Architectural and Engineering Managers 5.00
Automotive Engineers 5.00
Biofuels Production Managers 5.00
Bioinformatics Scientists 5.00
Brokerage Clerks 5.00
Budget Analysts 5.00
Business Teachers, Postsecondary 5.00
Chemical Engineers 5.00
Chemical Technicians 5.00
Chief Sustainability Officers 5.00
Child, Family, and School Social Workers 5.00
Civil Engineers 5.00
Claims Adjusters, Examiners, and Investigators 5.00
Clinical Data Managers 5.00
Clinical Nurse Specialists 5.00
Commercial and Industrial Designers 5.00
Compensation and Benefits Managers 5.00

Occupations where it's lowest

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

Occupation Rating Score
Cabinetmakers and Bench Carpenters 1.00
Roof Bolters, Mining 1.03
Floor Layers, Except Carpet, Wood, and Hard Tiles 1.04
Automotive Body and Related Repairers 1.05
Upholsterers 1.05
Cutting, Punching, and Press Machine Setters, Operators, and Tenders, Metal and Plastic 1.07
Helpers--Painters, Paperhangers, Plasterers, and Stucco Masons 1.08
Cutters and Trimmers, Hand 1.09
Helpers--Brickmasons, Blockmasons, Stonemasons, and Tile and Marble Setters 1.11
Recycling and Reclamation Workers 1.11
Cooks, Short Order 1.14
Refractory Materials Repairers, Except Brickmasons 1.14
Manufactured Building and Mobile Home Installers 1.15
Derrick Operators, Oil and Gas 1.17
Locker Room, Coatroom, and Dressing Room Attendants 1.18
Paperhangers 1.18
Carpet Installers 1.19
Fiberglass Laminators and Fabricators 1.20
Hoist and Winch Operators 1.20
Stone Cutters and Carvers, Manufacturing 1.20
Postal Service Mail Carriers 1.22
Molders, Shapers, and Casters, Except Metal and Plastic 1.23
Helpers--Pipelayers, Plumbers, Pipefitters, and Steamfitters 1.24
Coil Winders, Tapers, and Finishers 1.25
Manicurists and Pedicurists 1.25

How AI is used by roles where e-mail 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). 64.6% of the 676 occupations where this condition is present carry observed AI-usage data (437 roles).

Across those roles, 47.8% of AI conversations are people working with AI and 32.0% hand a task to AI , with an average autonomy of 3.58 / 5.

Collaboration pattern Share What it means
directive 29.8% AI does it; you give the instruction
task iteration 25.2% you and AI go back and forth
learning 19.5% you ask AI to explain or teach
validation 3.1% 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
English Language and Literature Teachers, Postsecondary 4.8 63.2% 4.0/5
Biological Science Teachers, Postsecondary 5.0 63.2% 4.0/5
Editors 4.9 68.2% 4.0/5
Foreign Language and Literature Teachers, Postsecondary 4.9 65.2% 3.0/5
Poets, Lyricists and Creative Writers 4.5 46.2% 4.0/5
Educational, Guidance, School, and Vocational Counselors 4.9 70.6% 4.0/5
Technical Writers 4.7 54.2% 4.0/5
Social Work Teachers, Postsecondary 5.0 67.2% 3.5/5
Office Clerks, General 4.8 36.5% 3.0/5
Recreation and Fitness Studies Teachers, Postsecondary 4.8 66.2% 3.3/5
Philosophy and Religion Teachers, Postsecondary 5.0 66.8% 3.3/5
Education Teachers, Postsecondary 5.0 65.3% 3.5/5

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. "E-Mail." 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/e-mail

APA

Singulariki. (2026). E-Mail. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/work-context/e-mail

BibTeX
@misc{singulariki-e-mail,
  title  = {E-Mail},
  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/e-mail}
}

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