Automation index
How much of a TV presenter’s job can AI already do?
A teleprompter and a briefing write themselves. Holding a live show when the guest collapses does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
TV presenter
19%
AI can already do 19% of this job.
#529 / 633
View rankingTV presenter
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 |
|---|---|---|---|
Prep script, guest sheets and rundown.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 38% | +6.8 |
Social promo and pre-taped pieces.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Host the live show or the recording.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Improvise, cut and save a gag.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
Rehearse with gallery and floor.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
Public image, interviews and personal brand.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 16% | +2.2 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Prep script, guest sheets and rundown
- Social promo and pre-taped pieces
- Host the live show or the recording
- Improvise, cut and save a gag
- Rehearse with gallery and floor
- presentador
- tv host
- locutor de television
Sources for this job· O*NET 27-3011.00· ESCO/ISCO 2656
IS WORK OVER?
Data architect
28%
#83 / 633
View rankingData architect
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 |
|---|---|---|---|
Models, lineage and the catalogue.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Pipelines, quality and the data contract.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The analyst who finds nothing and the mess.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Privacy, retention and the field you cannot keep.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The business, shadow IT and not building another lake.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it gets used, and not letting raw data rot.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- model data
- lineage
- data catalogue
- data contracts
- pipeline quality
- retention
- data lakes
- privacy
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511