SOC 43-2021

Telephone Operators AI displacement risk

Telephone operators connect calls, provide directory information, and assist with special situations. This is one of the most thoroughly automated occupations in history: switchboards digitized decades ago, and voice AI now handles most remaining directory and routing calls. The honest reading is high, continuing pressure.

Exposure76

Share and intensity of work current AI systems can materially affect.

Automation52%

Likely potential for exposed tasks to move to software after workflow integration.

Risk bandHigh

What survives is niche: answering services for medical and emergency clients, assistance for callers with disabilities, and situations where a calm human voice is the product. Workers here should plan transitions rather than wait out the curve.

Distribution

Where Telephone Operators sits across 620 tracked roles

Telephone Operators · 68050100

Displacement pressure 68 — higher than 92% of the 620 occupations tracked on displacement.ai.

Score version

This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-15. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.

14 O*NET task statements matched to SOC 43-2021. The displayed task profile combines these official task statements with the current public score model.

Median wage context: $41,740 (May 2025, US national). The latest BLS row matched SOC 43-2021.

Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.

2030 economic stress test

How Anthropic's scenarios classify Telephone Operators

SOC 43-2021 places this role in the paper's cognitive occupation group. These group-level outcomes do not change the 68/100 role score and are not an occupation forecast.

Modest change

+0.4% group wage

-0.5% cognitive employment since mid-2026; 2.9% cognitive unemployment.

Economy-wide: +1.6% GDP and 3.9% unemployment.

Substantial change

-0.3% group wage

-3.9% cognitive employment since mid-2026; 4.5% cognitive unemployment.

Economy-wide: +8.3% GDP and 4.6% unemployment.

Extreme change

-11.5% group wage

-21.5% cognitive employment since mid-2026; 17.9% cognitive unemployment.

Economy-wide: +32.4% GDP and 11.9% unemployment.

Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.

Official task evidence

O*NET task matches for Telephone Operators

The current evidence import matched 14 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.

Dataset31.0 (August 2026)
Matched tasks14
SOC43-2021
  • Core task / ID 13246

    Observe signal lights on switchboards, and dial or press buttons to make connections.

  • Core task / ID 13247

    Operate telephone switchboards and systems to advance and complete connections, including those for local, long distance, pay telephone, mobile, person-to-person, and emergency calls.

  • Core task / ID 13243

    Listen to customer requests, referring to alphabetical or geographical directories to answer questions and provide telephone information.

  • Core task / ID 13257

    Update directory information.

  • Core task / ID 13244

    Suggest and check alternate spellings, locations, or listing formats to customers lacking details or complete information.

  • Core task / ID 13251

    Perform clerical duties such as typing, proofreading, and sorting mail.

Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.

Task profile

Where AI changes the work

technical

Operate switchboards to complete connections

Exposure 70, automation 50%, augmentation 32%.

O*NET evidence: Operate telephone switchboards and systems to advance and complete connections, includi... (ID 13247)

information

Provide telephone information using directories

Exposure 72, automation 52%, augmentation 38%.

O*NET evidence: Listen to customer requests, referring to alphabetical or geographical directories to a... (ID 13243)

social

Offer special assistance in emergency situations

Exposure 30, automation 13%, augmentation 38%.

O*NET evidence: Offer special assistance to persons such as those who are unable to dial or who are in ... (ID 13245)

information

Perform clerical duties such as typing and proofreading

Exposure 66, automation 44%, augmentation 44%.

O*NET evidence: Perform clerical duties such as typing, proofreading, and sorting mail. (ID 13251)

TaskExposureAutomationAugmentation
Operate switchboards to complete connections7050%32%
Provide telephone information using directories7252%38%
Offer special assistance in emergency situations3013%38%
Perform clerical duties such as typing and proofreading6644%44%

Transition pathways

Adjacent moves that preserve existing skills

role redesign

Customer Service Representative

Training horizon: 3-6 months. Skill overlap 68. Wage preservation signal 108.

  • Move to omnichannel support
  • Learn CRM platforms
  • Own escalation queues
High
credentialed transition

Emergency Dispatcher

Training horizon: 6-12 months. Skill overlap 54. Wage preservation signal 116.

  • Complete dispatcher certification
  • Train on CAD systems
  • Master crisis call protocols
High

Comparison guides

Compare the next move before you commit

What the AI risk score means for Telephone Operators

The displacement pressure score for Telephone Operators is 68. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.

For this role, the clearest risk pattern is visible at the task level. Provide telephone information using directories carries 52% automation pressure, while Perform clerical duties such as typing and proofreading carries 44% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.

Labor-market context and wage risk

Median wage: $41,740 (May 2025, US national). Employment context: Legacy communications role deep into structural decline. Typical education: High school; most remaining roles are specialized.

Wage vulnerability is 64, while transition feasibility is 58. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.

  • High displacement pressure
  • Voice AI handles directory and routing calls
  • Specialized answering services remain

Upskilling priorities

Skills that make this role more resilient

The safest upskilling plan starts with skills already close to the work. For Telephone Operators, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.

Priority 1

Call routing

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

Priority 2

Information assistance

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

Priority 3

Emergency communication

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

Priority 4

Clerical documentation

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

90-day transition plan

The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.

  1. In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
  2. By 60 days, complete one small project connected to Customer Service Representative, such as move to omnichannel support.
  3. By 90 days, compare internal openings and external postings for Customer Service Representative or Emergency Dispatcher and update your resume around measurable workflow outcomes.

FAQ

Questions about AI and Telephone Operators

Will AI replace Telephone Operators?

Telephone operators connect calls, provide directory information, and assist with special situations. This is one of the most thoroughly automated occupations in history: switchboards digitized decades ago, and voice AI now handles most remaining directory and routing calls. The honest reading is high, continuing pressure. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.

Which parts of Telephone Operators work are most exposed to AI?

Provide telephone information using directories and Operate switchboards to complete connections show the strongest automation pressure in this model. Perform clerical duties such as typing and proofreading and Provide telephone information using directories are better treated as AI-augmented work.

What should Telephone Operators learn next?

Start with Call routing, Information assistance, Emergency communication. The most practical adjacent paths in this model are Customer Service Representative and Emergency Dispatcher.

How should this score be used?

Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.

Sources

Evidence trail