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Switchboard Operators

Office & Administrative Support
Projected change 2024–34: -26.3%
Median annual wage (2024): $38,370
Employment (2024): 37K

United States · BLS Employment Projections 2024–34 (figures for SOC 43-2011 occupational group)

AI exposure in published research

Figures below are reproduced from external datasets without modification. Where a dataset does not cover this occupation, the value is shown as — rather than as zero.

Data provider: OpenAI · "GPTs are GPTs"

Time basis: 2023 baselineex-ante estimate

Scored against GPT-4-generation capability.

Human rater basis
48.4%
GPT-4 rater basis
62.9%

β = direct exposure (E1) + 0.5 × exposure when tools are available (E2), per the source repository's definition.

19 rated tasks · 14 tasks with β ≥ 0.5 (73.7%)

Version:
gh-main-0471612
License:
MIT License · Copyright (c) 2024 OpenAI

Data provider: Anthropic Economic Index

Time basis: Published 2026-03-05composite index

Observed exposure
38.6%

Theoretical exposure index weighted by measured Claude usage, per the original report's definition.

19 tasks · usage observed in 4 · mean 19.2%

Data: Anthropic Economic Index — labor_market_impacts, CC-BY, https://huggingface.co/datasets/Anthropic/EconomicIndex

AI Changing Work uses Anthropic Economic Index data under CC-BY; Anthropic does not endorse or sponsor this site or its analyses.

Version:
hf-lmi-2026-03
License:
CC BY 4.0
Observation period:
(not applicable to this release)
Model:
(not stated by the source)

2023 prediction vs observation-based index published 2026-03-05

One card (GPTs are GPTs) is a 2023 estimate of what AI could theoretically do; the other (Anthropic Economic Index) is built from observed usage and was published on 2026-03-05 — that is its publication date, not the period it observed. They measure different things, so the two figures cannot be added, averaged, or ranked against each other. The older figure is kept here as a baseline for comparison rather than removed.

Caution: the Anthropic figures — observed exposure and task penetration — take the Eloundou β as one of their inputs. The two sides resembling each other is therefore not evidence that the earlier prediction came true; reading it that way is circular reasoning.

The Anthropic figures are measured on Claude users, who are not the whole economy and not the whole workforce.

The mapping of O*NET tasks and occupation codes was performed by AI Changing Work. The source figures themselves were not modified.

These indices are not forecasts. Which point in time each one belongs to is stated on the badge on its card.

Task Breakdown

  • Answer and route incoming telephone calls
  • Record and relay messages to appropriate personnel
  • Provide basic organizational information to callers
  • Maintain and update telephone directories and logs
  • Handle emergency calls and escalate appropriately

About This Occupation

If you work as a Switchboard Operator, AI is rapidly displacing your role. With an automation risk of 87/100 and overall exposure at 83%, this occupation faces very high transformation pressure. The most automated task is answering and routing incoming calls at 90%. BLS projects -26% decline through 2034 as AI-powered phone systems and virtual receptionists replace traditional operators. Emergency call handling remains a human-supervised function.

ISCO-08 classification

Unit group 4223ILO official

Telephone Switchboard Operators

Definition

ILO original text (English)

Telephone switchboard operators operate telephone communications switchboards and consoles to establish telephone connections, receive caller inquiries and service problem reports, and record and relay messages to staff or clients.

Definition & vocabulary source

Source: International Labour Organization (ILO) — ISCO-08 Structure

License: ILO CC BY 4.0

View original

Official occupational information

  • ONET43-2011.00

    Switchboard Operators, Including Answering Service

    Operate telephone business systems equipment or switchboards to relay incoming, outgoing, and interoffice calls. May supply information to callers and record messages.

    View original
  • ONET43-2021.00

    Telephone Operators

    Provide information by accessing alphabetical, geographical, or other directories. Assist customers with special billing requests, such as charges to a third party and credits or refunds for incorrectly dialed numbers or bad connections. May handle emergency calls and assist children or people with physical disabilities to make telephone calls.

    View original

Source: O*NET 30.2, U.S. DOL/ETA

License: CC BY 4.0

View original

Frequently Asked Questions

The Anthropic Economic Index puts observed exposure at 38.6%. The OpenAI "GPTs are GPTs" rubric puts occupation-level β at 48.4% under human raters. Both figures are reproduced from published research without modification.

They come from two published datasets: the Anthropic Economic Index (labor_market_impacts, CC BY 4.0) and the OpenAI "GPTs are GPTs" exposure rubric (MIT License, Copyright (c) 2024 OpenAI). AI Changing Work maps them onto O*NET occupation and task codes and does not calculate exposure scores of its own. AI Changing Work uses Anthropic Economic Index data under CC-BY; Anthropic does not endorse or sponsor this site or its analyses.

No. They are a diagnosis of exposure as measured at the time each source dataset was published. AI Changing Work publishes no prediction of future automation or job displacement for this occupation.