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
- Accountants and Auditors
- Actors
- Actuaries
- Acupuncturists
- Acute Care Nurses
- Adapted Physical Education Specialists
- Administrative Law Judges, Adjudicators, and Hearing Officers
- Administrative Services Managers
- Adult Basic Education, Adult Secondary Education, and English as a Second Language Instructors
- Advanced Practice Psychiatric Nurses
- Advertising Sales Agents
- Advertising and Promotions Managers
- Aerospace Engineering and Operations Technologists and Technicians
- Aerospace Engineers
- Agents and Business Managers of Artists, Performers, and Athletes
- Agricultural Engineers
- Agricultural Inspectors
- Agricultural Sciences Teachers, Postsecondary
- Agricultural Technicians
- Air Traffic Controllers
- Aircraft Cargo Handling Supervisors
- Aircraft Mechanics and Service Technicians
- Aircraft Structure, Surfaces, Rigging, and Systems Assemblers
- Airfield Operations Specialists
- Airline Pilots, Copilots, and Flight Engineers
- Allergists and Immunologists
- Ambulance Drivers and Attendants, Except Emergency Medical Technicians
- Amusement and Recreation Attendants
- Anesthesiologist Assistants
- Anesthesiologists
- Animal Breeders
- Animal Caretakers
- Animal Control Workers
- Animal Scientists
- Animal Trainers
- Anthropologists and Archeologists
- Anthropology and Archeology Teachers, Postsecondary
- Appraisers and Assessors of Real Estate
- Appraisers of Personal and Business Property
- Arbitrators, Mediators, and Conciliators
Showing 40 of 735 occupations.
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.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- Census NAICS 2022 U.S. Census Bureau
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
Data compiled June 3, 2026. Figures are estimates, not advice.
Cite this page
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
Singulariki. (2026). Electronic mail software. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/tools/electronic-mail-software
@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.