Will AI replace Broadcast Announcers and Radio Disc Jockeys?
Estimated risk score: 73 out of 100
High replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (54 to 92).
For the occupation as a whole, from ratings of its 24 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 27-3011.00 · Arts, Design, Entertainment, Sports, and Media
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 18 of its 24 rated tasks; the first 6 are shown. In O*NET’s words.
- Comment on music and other matters, such as weather or traffic conditions.
- Develop story lines for broadcasts.
- Discuss various topics over the telephone with viewers or listeners.
- Identify stations, and introduce or close shows, ad-libbing or using memorized or read scripts.
- Record commercials for later broadcast.
- Give network cues permitting selected stations to receive programs.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 1 of its 24 rated tasks. In O*NET’s words.
- Make promotional appearances at public or private events to represent their employers.
What the job is
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.
Also called: DJ (Disc Jockey), On-Air Personality, TV Host, Radio DJ, Podcaster, Show Host, Radio Host, Broadcaster.
Closest jobs we score by hand
In the same field (Arts, Design, Entertainment, Sports, and Media). Different jobs, each scored by a person.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate