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Electronic mail software

Technology category · O*NET

Electronic mail software is a technology category in the O*NET database. Across U.S. occupations, 735 report using software or tools in this category. The named products below are the specific examples O*NET records for those jobs. The occupations that use it sit, on average, at the 55th percentile of AI task-exposure ( moderate) — how much that work overlaps with what AI can do, not a sign the tool is being replaced. See where every tool category sits.

A Hot tag marks technologies O*NET sees frequently in employer job postings; In demand marks tools an occupation specifically requires.

Example software & tools

Ranked by how many occupations list each product. Each number is an occupation count — a job is counted once per product — so the product rows overlap and do not sum to the category total.

Software / tool Occupations Tags
Microsoft Outlook 639 Hot In demand
Email software 276
IBM Notes 104
Microsoft Exchange 59
IBM Lotus Notes 28
MicroFocus GroupWise 10
Google Gmail 9
MailChimp 2
Mozilla Thunderbird 2
Yahoo! Email 2
Astute Solutions PowerCenter 1
Catalyst Repository Systems CatalystDR 1
Catalyst Repository Systems CatalystXE 1
Electronic data interchange EDI software 1
Listserv software 1
Objectif Lune PrintShop Mail 1
Pegasus software 1
QUALCOMM Eudora 1
SendGrid 1
Voltage SecureMail 1

Occupations that use Electronic mail software

Showing 40 of 735 occupations.

Exposure quadrant: AI task-overlap percentile vs Median pay AI task-overlap (horizontal) versus median pay (vertical), each as a percentile across all scored occupations, for 35 occupations in occupations that use Electronic mail software. Overlap measures shared tasks with AI, not automation. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Aircraft Structure, Surfaces, Rigging, and Systems Assemblers Ambulance Drivers and Attendants, Except Emergency Medical Technicians Acupuncturists Animal Trainers Anesthesiologist Assistants Aircraft Cargo Handling Supervisors Animal Breeders Administrative Services Managers Airline Pilots, Copilots, and Flight Engineers Agricultural Technicians Animal Caretakers Acute Care Nurses Adapted Physical Education Specialists Airfield Operations Specialists Aerospace Engineering and Operations Technologists and Technicians Agricultural Engineers Anthropologists and Archeologists Adult Basic Education, Adult Secondary Education, and English as a Second Language Instructors Administrative Law Judges, Adjudicators, and Hearing Officers Aerospace Engineers Advertising Sales Agents AI task-overlap percentile → ↑ Median pay
Occupations that use Electronic mail software, by AI task-overlap and median pay

How AI is used by roles that use Electronic mail software

A software category is not itself "being automated" — but we can look at the roles that report using Electronic mail software and ask how those people actually use AI. This rolls the Anthropic Economic Index per-role signal up across those roles, weighted by how much observed AI activity each one has. 58.6% of the 735 roles that use this category carry observed AI-usage data (431 roles).

Across those roles, 60.0% of AI conversations are people working with AI and 34.5% hand a task to AI , with an average autonomy of 3.66 / 5.

Collaboration pattern Share What it means
task iteration 33.4% you and AI go back and forth
directive 32.0% AI does it; you give the instruction
learning 18.3% you ask AI to explain or teach
validation 8.3% you do it; AI checks your work
feedback loop 2.5% AI does it, then adjusts from your feedback

Roles behind this signal

The roles using this category that have the most AEI data. "Works with AI" is the role's share of conversations that augment rather than automate.

Occupation Works with AI Autonomy
English Language and Literature Teachers, Postsecondary 63.2% 4.0/5
Biological Science Teachers, Postsecondary 63.2% 4.0/5
Editors 68.2% 4.0/5
Foreign Language and Literature Teachers, Postsecondary 65.2% 3.0/5
Educational, Guidance, School, and Vocational Counselors 70.6% 4.0/5
Technical Writers 54.2% 4.0/5
Office Clerks, General 36.5% 3.0/5
Recreation and Fitness Studies Teachers, Postsecondary 66.2% 3.3/5
Social Work Teachers, Postsecondary 67.2% 3.5/5
Philosophy and Religion Teachers, Postsecondary 66.8% 3.3/5
Education Teachers, Postsecondary 65.3% 3.5/5
Instructional Coordinators 53.1% 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. Roles list software categories in O*NET; this does not mean AI is used inside Electronic mail software, only that people in those roles use AI. Some conversations are left unclassified, so shares need not sum to 100.

Industries that concentrate this

Where Electronic mail software matters most across the economy. Employment reach is the share of an industry's workers in occupations that significantly use Electronic mail software (O*NET importance ≥ 3 of 5, or report using the tool category). Concentration compares that reach to the national average industry, so a value above 1× means the requirement is more pervasive here than across the economy as a whole.

Nationally, about 78.3% of workers are in occupations that significantly use Electronic mail software (measured across 67 industries).

Sectors with the most such workers

Sector Workers Employment reach
Health Care and Social Assistance 16,894,220 73.1%
Retail Trade 11,711,560 75.1%
Educational Services 10,887,920 79.8%
Professional, Scientific, and Technical Services 10,406,480 96.6%
Manufacturing 9,839,580 77.1%
Administrative and Support and Waste Management and Remediation Services 8,033,680 89.0%
Construction 6,335,490 78.0%
Accommodation and Food Services 6,149,540 43.2%
Finance and Insurance 6,145,800 98.7%
Transportation and Warehousing 5,997,010 81.1%
Wholesale Trade 5,415,600 89.7%
Other Services (except Public Administration) 3,334,140 75.3%

Industries where it is most concentrated

Industry Level Concentration Employment reach
Insurance Agencies and Brokerages National industry 1.27× 99.5%
Veterinary Services National industry 1.27× 99.7%
Exterminating and Pest Control Services National industry 1.27× 99.8%
Labor Unions and Similar Labor Organizations National industry 1.27× 99.1%
Finance and Insurance Sector 1.26× 98.7%
Landscaping Services National industry 1.26× 98.4%
Direct Health and Medical Insurance Carriers National industry 1.26× 98.8%
Wind Electric Power Generation National industry 1.26× 99.0%
Hydroelectric Power Generation National industry 1.26× 99.0%
Fossil Fuel Electric Power Generation National industry 1.25× 97.7%
Radio Broadcasting Stations National industry 1.25× 97.8%
Power and Communication Line and Related Structures Construction National industry 1.24× 97.4%

Reach is a measure of how widespread a requirement is across an industry's workforce, not how intensively any individual uses it. Sector worker counts come from BLS OEWS employment; the significance threshold and tool use come from O*NET. Industries shown by concentration are filtered to a real worker base so a tiny specialty cannot top the list on rounding.

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 3, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Electronic mail software." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; Census NAICS 2022; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026. https://singulariki.com/tools/electronic-mail-software

APA

Singulariki. (2026). Electronic mail software. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/tools/electronic-mail-software

BibTeX
@misc{singulariki-electronic-mail-software,
  title  = {Electronic mail software},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; Census NAICS 2022; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026},
  url    = {https://singulariki.com/tools/electronic-mail-software}
}

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