Automation index
How much of a Radio host’s job can AI already do?
A rundown and a clip come earlier. Filling the air when the line drops does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Radio host
22%
AI can already do 22% of this job.
#347 / 623
View rankingRadio host
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Rundown, clips and a first script.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
On air, interviews and a silence that weighs.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 12% | +2.4 |
Guests, producer and real time.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Edit, podcast and the show’s socials.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Voice, shifts and not going blank.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not saying something you cannot take back.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Rundown, clips and a first script
- Guests, producer and real time
- Edit, podcast and the show’s socials
- Voice, shifts and not going blank
- Not saying something you cannot take back
- locutor
- locutora
- radio host
Sources for this job· O*NET 27-3011.00· ESCO/ISCO 2656
IS WORK OVER?
Data engineer
31%
#36 / 623
View rankingData engineer
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Design pipelines, models and orchestration.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 50% | +12 |
Write SQL, Spark and data tests.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 45% | +8.1 |
Incidents, quality and lineage in production.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to analysts and negotiate data contracts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Cloud cost, permissions and PII.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Decide architecture and technical debt.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design pipelines, models and orchestration
- Write SQL, Spark and data tests
- Cloud cost, permissions and PII
- Decide architecture and technical debt
- ingeniero de datos
- data engineer
- etl
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511