Telephone Conversations
Work context · O*NET
Telephone Conversations 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 often do you have telephone conversations in this job?." It is rated for 894 occupations, which average 4.05 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 | 4.05 / 5 | Mean across all 894 rated occupations |
| Range across occupations | 1.05–5.00 | Lowest to highest occupation rating (spread 3.95) |
| Intensity vs. other dimensions | 90th 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 |
|---|---|---|
| Advertising Sales Agents | 5.00 | |
| Agents and Business Managers of Artists, Performers, and Athletes | 5.00 | |
| Animal Control Workers | 5.00 | |
| Bicycle Repairers | 5.00 | |
| Brokerage Clerks | 5.00 | |
| Buyers and Purchasing Agents, Farm Products | 5.00 | |
| Claims Adjusters, Examiners, and Investigators | 5.00 | |
| Coroners | 5.00 | |
| Counter and Rental Clerks | 5.00 | |
| Credit Authorizers, Checkers, and Clerks | 5.00 | |
| Customer Service Representatives | 5.00 | |
| Customs Brokers | 5.00 | |
| Dispatchers, Except Police, Fire, and Ambulance | 5.00 | |
| File Clerks | 5.00 | |
| First-Line Supervisors of Police and Detectives | 5.00 | |
| Freight Forwarders | 5.00 | |
| Funeral Home Managers | 5.00 | |
| Genetic Counselors | 5.00 | |
| Geothermal Production Managers | 5.00 | |
| Healthcare Social Workers | 5.00 | |
| Hospitalists | 5.00 | |
| Human Resources Specialists | 5.00 | |
| Insurance Appraisers, Auto Damage | 5.00 | |
| Insurance Sales Agents | 5.00 | |
| Loan Interviewers and Clerks | 5.00 |
Occupations where it's lowest
The occupations that rate this condition weakest — where it is rarely part of the work.
How AI is used by roles where telephone conversations 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). 61.2% of the 770 occupations where this condition is present carry observed AI-usage data (471 roles).
Across those roles, 46.6% of AI conversations are people working with AI and 31.7% hand a task to AI , with an average autonomy of 3.57 / 5.
| Collaboration pattern | Share | What it means |
|---|---|---|
| directive | 29.4% | AI does it; you give the instruction |
| task iteration | 24.4% | you and AI go back and forth |
| learning | 19.5% | you ask AI to explain or teach |
| validation | 2.7% | 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 | 3.8 | 63.2% | 4.0/5 |
| English Language and Literature Teachers, Postsecondary | 3.1 | 63.2% | 4.0/5 |
| Editors | 4.5 | 68.2% | 4.0/5 |
| Educational, Guidance, School, and Vocational Counselors | 5.0 | 70.6% | 4.0/5 |
| Office Clerks, General | 4.9 | 36.5% | 3.0/5 |
| Technical Writers | 4.2 | 54.2% | 4.0/5 |
| Social Work Teachers, Postsecondary | 4.4 | 67.2% | 3.5/5 |
| Instructional Coordinators | 4.6 | 53.1% | 4.0/5 |
| Recreation and Fitness Studies Teachers, Postsecondary | 4.0 | 66.2% | 3.3/5 |
| Poets, Lyricists and Creative Writers | 3.3 | 46.2% | 4.0/5 |
| Health Specialties Teachers, Postsecondary | 4.4 | 66.2% | 3.5/5 |
| Criminal Justice and Law Enforcement Teachers, Postsecondary | 4.3 | 65.7% | 3.3/5 |
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.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Telephone Conversations." 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/telephone-conversations
Singulariki. (2026). Telephone Conversations. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/work-context/telephone-conversations
@misc{singulariki-telephone-conversations,
title = {Telephone Conversations},
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/telephone-conversations}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.