Broadcast Announcers and Radio Disc Jockeys
In short: today's best AI models could do about 76% of this job's working time (projected from METR's April 2026 measurement and Epoch's November 2026 index) if the work were set up for them, and about 79% by the end of 2028 if progress keeps its long-run pace. The people and hands-on work, about 21% of the time, stays with people.
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.
21,240 people do this job in the US. $47,340 a year.
A typical 40-hour week
Not yet reviewed task by task- AI could take on31 h
- A person checks AI's work0 h
- Desk work AI can't do yet1 h
- Stays with people8 h
Broadcast Announcers and Radio Disc Jockeys, now: of a 40-hour week, AI could take on 31 hours, 0 hours become checking its work, 1 hours are desk work it can't do yet, and 8 hours stay with people.
The largest pieces: Prepare and deliver news, sports, or weather reports, gathering and rewriting material so that it will convey required information and fit specific time slots (about 6 h); Develop story lines for broadcasts (about 5 h); Write and edit video and scripts for broadcasts (about 5 h).
Estimates for a typical week of this job, if progress keeps its long-run pace, counting work the best models finish four times in five. Every task is below.
of the working time. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.
- 79%
- 6%
- 15%
of the work: Anthropic's measure of what people already bring to Claude at work (2025). It counts help with part of a task, so it can be higher than the share within reach.
On the chosen pace and reliability. Estimate.
Share of the working time within reach, now to 2030
Change assumptionsHide assumptionsLong-run pace, four in five
What each choice means: , , , , . Every pace starts from .
At this date and pace, models finish tasks up to 2.4 work days long four times in five.
How far this has come
With GPT-4, measured in March 2023, 0% of this job's working time was within reach at . With Claude 3.7 Sonnet, measured in February 2025, 2%. With Claude Mythos Preview (early), measured in April 2026, 41%. Today's estimate: 76%.
A backcast: today's task data with the best model METR had measured by each date. It shows how fast the models have moved, not what anyone forecast at the time.
Measured use over time
Of the Claude.ai conversations Anthropic sampled and tied to a work task, 0.095% went to this job's tasks in May 2026, the 166th largest of the 447 jobs that showed up at all; 2 of its 24 tasks showed up. Within each of Anthropic's methods, never across a change: 0.024% to 0.027% (released February and March 2025); 0.016% to 0.051% (August 2025 to February 2026); 0.1% to 0.095% (April to May 2026).
Each release
| Conversations | Share | Rank | Tasks seen |
|---|---|---|---|
| Released February 2025 | 0.024% | 420 of 708 | 4 of 24 |
| Released March 2025 | 0.027% | 377 of 703 | 5 of 24 |
| The week of Aug 4, 2025 (released September 2025) | 0.016% | 394 of 655 | 2 of 24 |
| The week of Nov 13, 2025 (released January 2026) | 0.035% | 296 of 672 | 4 of 24 |
| The week of Feb 5, 2026 (released March 2026) | 0.051% | 245 of 677 | 5 of 24 |
| April 2026 (released June 2026) | 0.1% | 159 of 434 | 2 of 24 |
| May 2026 (released June 2026) | 0.095% | 166 of 447 | 2 of 24 |
Measured, not estimated: Anthropic's samples of Claude.ai conversations, each tied by a model to an O*NET task, from the Anthropic Economic Index. It says where Claude's use goes, not how much of this job's working time it covers, so it is not on the same scale as the reach above. The releases differ in their sample, their classifier and the smallest share they report (the June 2026 file rounds each task to a hundredth of a percent, so a smaller task reads as none), which is why a change of method starts a new line. At least 96% of each older release's task-tied use matched this site's tasks, and all of the newest. Claude.ai only, so use through other tools and other companies' models is not in it. Every job ranked.
Robots and the physical work
Anthropic rates almost none of this job's working time as physical work, so robots do not reach it.
Anthropic's rating, not this site's estimate: Claude Opus 5, searching the web, rated each physical O*NET task by the kind of setting in which a robot it could cite (deployed, sold or demonstrated) does most of the task, weighted by its own estimate of each task's share of the time (What work can robots do?, September 30, 2026, data CC BY 4.0; every job ranked). A robot shown somewhere is not a robot in your building: cost, setup and safety decide that. The share within reach on this page still counts no body work. The robot behind each rated task is under the task below.
The tasks
Sorted by . 24 tasks from .
| Task | Kind | |||
|---|---|---|---|---|
| Develop story lines for broadcasts.Done daily by most who do it. | 16% | 3.3 h50 min to 1 work day | 86%Half by now | |
| Prepare and deliver news, sports, or weather reports, gathering and rewriting material so that it will convey required information and fit specific time slots.Done hourly or more by most who do it. | 15% | 1.7 h38 min to 3.3 h | 100%Half by now | |
| Write and edit video and scripts for broadcasts.Done daily by most who do it. | 13% | 2.5 h50 min to 5 h | 99%Half by now | |
| Select program content, in conjunction with producers and assistants, based on factors such as program specialties, audience tastes, or requests from the public.Done daily by most who do it. AI observed on this task. | 11% | 1.7 h25 min to 4.2 h | 97%Half by now | |
| Study background information to prepare for programs or interviews.Done daily by most who do it. | 7% | 1.3 h25 min to 2.5 h | 100%Half by now | |
| Provide commentary and conduct interviews during sporting events, parades, conventions, or other events.Done more than monthly by most who do it. | 5% | 2.5 h50 min to 5 h | Stays with people | |
| Maintain organization of the music library.Done daily by most who do it. | 5% | 1.3 h25 min to 3.3 h | 99%Half by now | |
| Make promotional appearances at public or private events to represent their employers.Done more than yearly by most who do it. | 5% | 3.3 h50 min to 6.7 h | Stays with people | |
| Interview show guests about their lives, their work, or topics of current interest.Done more than monthly by most who do it. | 4% | 1.3 h25 min to 2.5 h | Stays with people | |
| Keep daily program logs to provide information on all elements aired during broadcast, such as musical selections and station promotions.Done daily by most who do it. | 4% | 33 min13 min to 50 min | 100%Half by now | |
| Operate control consoles.Done hourly or more by most who do it. | 3% | 17 min4 min to 50 min | Stays with people | |
| Announce musical selections, station breaks, commercials, or public service information, and accept requests from listening audience.Done hourly or more by most who do it. | 2% | 13 min4 min to 33 min | 100%Half by now |
Within reach, per task: the share of the task's time whose instances are short enough for a model to finish at the chosen date, pace and reliability. Half by: the date half of that time comes within reach.
Jobs that share skills with this one
From O*NET's related occupations. Within reach now and by the end of 2028, long-run pace, four in five.
Where this job works
The industry groups that employ the most of it (BLS, May 2025).
- Radio and Television Broadcasting Stations13,340 people
- Media Streaming Distribution Services, Social Networks, and Other Media Networks and Content Providers4,080 people
- Colleges, Universities, and Professional Schools1,270 people
- Spectator Sports770 people
- Independent Artists, Writers, and Performers470 people
Where the most of these jobs are
The metro areas with the most people in it (BLS, May 2025).
Questions about this job
- How much of the work of Broadcast Announcers and Radio Disc Jockeys is within reach of AI now?
- An estimated 76% of the working time is within reach of AI models now and 79% by the end of 2028, on METR's long-run pace at four in five. Within reach means a model could finish work that long at that reliability. It is not a forecast of jobs lost or of savings.
- Which tasks of Broadcast Announcers and Radio Disc Jockeys come within reach first?
- Weighted by the time each takes, the tasks with the most within reach now (projected from METR's April 2026 measurement and Epoch's November 2026 index) are: Prepare and deliver news, sports, or weather reports, gathering and rewriting material so that it will convey required information and fit specific time slots (100% of the task's time now); Develop story lines for broadcasts (86% of the task's time now, 100% by the end of 2028); and Write and edit video and scripts for broadcasts (99% of the task's time now).
- Which tasks of Broadcast Announcers and Radio Disc Jockeys stay with people?
- Tasks that are people work or body work are not counted as within reach at any date. The largest: Provide commentary and conduct interviews during sporting events, parades, conventions, or other events; Make promotional appearances at public or private events to represent their employers; and Interview show guests about their lives, their work, or topics of current interest. Together such tasks are about 21% of the working time.
- Do people already use AI for the work of Broadcast Announcers and Radio Disc Jockeys?
- In the Claude.ai conversations Anthropic sampled for May 2026 and tied to a work task, 0.095% went to this job's tasks, the 166th largest share of the 447 jobs that showed up; 2 of its 24 tasks appeared. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 6%. These are measures of use, not of how much of the work AI could finish, and they cover Claude only.
- Can robots do the physical work of Broadcast Announcers and Radio Disc Jockeys?
- Anthropic's robot exposure rating (September 2026) finds almost none of the working time is physical work, so robots do not reach it.
- How is this estimated?
- From the 24 tasks O*NET lists for the occupation, each with an estimated length checked against GDPval and a share of the working time, each classed as desk, people or body work, and METR's measurements of how long a task the best AI models can finish, carried forward to the date from the latest, Claude Mythos Preview (early) in April 2026. Data checked November 10, 2026.
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