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Public Address Announcers

Arts, Design, Entertainment & Media
Projected change 2024–34:
Median annual wage (2024):
Employment (2024):

United States · BLS Employment Projections 2024–34: this SOC code is not among the published items.

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

This occupation code is not included in this dataset.

GPT-4 rater basis

This occupation code is not included in this dataset.

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

This occupation code is not included in this dataset.

License:
MIT License · Copyright (c) 2024 OpenAI

Data provider: Anthropic Economic Index

Time basis: Varies by releasecomposite index

Observed exposure

This occupation code is not included in this dataset.

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

This occupation code is not included in this dataset.

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.

License:
CC BY 4.0

Theoretical estimate vs observed usage

One card (GPTs are GPTs) estimates what AI could theoretically do at the time it was scored; the other (Anthropic Economic Index) observes how AI was actually used. 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

  • Deliver scripted announcements and read prepared content
  • Provide live impromptu commentary during events
  • Coordinate timing with event staff and production teams

About This Occupation

If you work as a Public Address Announcer, AI is creating a mixed impact on your role. With an automation risk of 51/100 and overall exposure at 58%, this role faces high transformation. Scripted announcements face 70% automation through text-to-speech, but live impromptu commentary remains at just 22%. BLS projects -7% decline through 2034.

ISCO-08 classification

Unit group 2656ILO official

Announcers on Radio, Television and Other Media

Definition

ILO original text (English)

Announcers on radio, television and other media read news bulletins, conduct interviews, and make other announcements or introductions on radio, television, and in theatres and other establishments or media

Definition & vocabulary source

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

License: ILO CC BY 4.0

View original

Official occupational information

  • ONET27-3011.00

    Broadcast Announcers and Radio Disc Jockeys

    Speak or read from scripted materials, such as news reports or commercial messages, on radio, television, or other communications media. May play and queue music, announce artist or title of performance, identify station, or interview guests.

    View original

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

License: CC BY 4.0

View original

Frequently Asked Questions

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.