Mobile messaging service software
Technology category · O*NET
Mobile messaging service software is a technology category in the O*NET database. Across U.S. occupations, 11 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 82nd percentile of AI task-exposure ( high) — 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 |
|---|---|---|
| Intrado SchoolMessenger | 10 | |
| Unified messaging software | 1 |
Occupations that use Mobile messaging service software
- Customer Service Representatives
- Education Administrators, Kindergarten through Secondary
- Education Administrators, Postsecondary
- Educational, Guidance, and Career Counselors and Advisors
- Executive Secretaries and Executive Administrative Assistants
- Healthcare Social Workers
- Interpreters and Translators
- Preschool Teachers, Except Special Education
- Public Safety Telecommunicators
- Receptionists and Information Clerks
- Secretaries and Administrative Assistants, Except Legal, Medical, and Executive
How AI is used by roles that use Mobile messaging service software
A software category is not itself "being automated" — but we can look at the roles that report using Mobile messaging service 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. 100.0% of the 11 roles that use this category carry observed AI-usage data (11 roles).
Across those roles, 52.3% of AI conversations are people working with AI and 41.3% hand a task to AI , with an average autonomy of 3.46 / 5.
| Collaboration pattern | Share | What it means |
|---|---|---|
| directive | 38.4% | AI does it; you give the instruction |
| task iteration | 37.3% | you and AI go back and forth |
| learning | 10.7% | you ask AI to explain or teach |
| validation | 4.3% | you do it; AI checks your work |
| feedback loop | 2.9% | 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 |
|---|---|---|
| Educational, Guidance, School, and Vocational Counselors | 70.6% | 4.0/5 |
| Secretaries and Administrative Assistants, Except Legal, Medical, and Executive | 36.3% | 3.0/5 |
| Interpreters and Translators | 40.2% | 3.0/5 |
| Executive Secretaries and Executive Administrative Assistants | 52.8% | 3.0/5 |
| Education Administrators, Elementary and Secondary School | 56.5% | 4.0/5 |
| Preschool Teachers, Except Special Education | 45.6% | 4.0/5 |
| Education Administrators, Postsecondary | 54.3% | 4.0/5 |
| Customer Service Representatives | 35.5% | 3.0/5 |
| Receptionists and Information Clerks | 33.1% | 3.0/5 |
| Healthcare Social Workers | 59.8% | 4.0/5 |
| Police, Fire, and Ambulance Dispatchers | 31.9% | 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. Roles list software categories in O*NET; this does not mean AI is used inside Mobile messaging service 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 Mobile messaging service software matters most across the economy. Employment reach is the share of an industry's workers in occupations that significantly use Mobile messaging service 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 4.9% of workers are in occupations that significantly use Mobile messaging service software (measured across 66 industries).
Sectors with the most such workers
| Sector | Workers | Employment reach |
|---|---|---|
| Health Care and Social Assistance | 1,386,760 | 6.0% |
| Educational Services | 1,379,960 | 10.1% |
| Finance and Insurance | 656,410 | 10.5% |
| Administrative and Support and Waste Management and Remediation Services | 581,680 | 6.4% |
| Retail Trade | 574,510 | 3.7% |
| Professional, Scientific, and Technical Services | 573,600 | 5.3% |
| Other Services (except Public Administration) | 320,500 | 7.2% |
| Wholesale Trade | 264,050 | 4.4% |
| Manufacturing | 232,870 | 1.8% |
| Construction | 202,500 | 2.5% |
| Management of Companies and Enterprises | 191,900 | 6.8% |
| Transportation and Warehousing | 155,250 | 2.1% |
Industries where it is most concentrated
| Industry | Level | Concentration | Employment reach |
|---|---|---|---|
| Direct Health and Medical Insurance Carriers | National industry | 3.59× | 17.6% |
| Veterinary Services | National industry | 3.45× | 16.9% |
| Insurance Agencies and Brokerages | National industry | 3.29× | 16.1% |
| Offices of Chiropractors | National industry | 3.12× | 15.3% |
| Fitness and Recreational Sports Centers | National industry | 2.73× | 13.4% |
| Offices of Optometrists | National industry | 2.35× | 11.5% |
| Labor Unions and Similar Labor Organizations | National industry | 2.33× | 11.4% |
| Finance and Insurance | Sector | 2.14× | 10.5% |
| Educational Services | Sector | 2.06× | 10.1% |
| Other Services (except Public Administration) | Sector | 1.47× | 7.2% |
| Management of Companies and Enterprises | Sector | 1.39× | 6.8% |
| Exterminating and Pest Control Services | National industry | 1.35× | 6.6% |
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. "Mobile messaging service 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/mobile-messaging-service-software
Singulariki. (2026). Mobile messaging service software. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/tools/mobile-messaging-service-software
@misc{singulariki-mobile-messaging-service-software,
title = {Mobile messaging service 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/mobile-messaging-service-software}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.