Automation index
How much of a Meteorologist’s job can AI already do?
A model and a map come earlier. Saying whether a village should evacuate does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Meteorologist
25%
AI can already do 25% of this job.
#246 / 633
View rankingMeteorologist
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, maps and a first forecast.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Observation, sondes and satellite.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Warnings, civil protection and media.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Shift, uncertainty and not over-scaring.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Verification, archives and research.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Not sitting on a warning that saves someone.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 25% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Models, maps and a first forecast
- Observation, sondes and satellite
- Warnings, civil protection and media
- Shift, uncertainty and not over-scaring
- Verification, archives and research
- meteorologo
Sources for this job· O*NET 19-2021.00· ESCO/ISCO 2112
IS WORK OVER?
Tiler
17%
#598 / 633
View rankingTiler
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 |
|---|---|---|---|
Layout, levels and ordering tile.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 30% | +4.8 |
Cut, set and grout.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 8% | +1.9 |
Substrates, falls and awkward points.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
Site, client and not staining the house.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Quantities, extras and logs.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 22% | +3.1 |
Not leaving a floor that sounds hollow.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 17% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- build walls
- plaster
- site work
- Layout, levels and ordering tile
- Cut, set and grout
- Substrates, falls and awkward points
- Site, client and not staining the house
- Quantities, extras and logs
- Not leaving a floor that sounds hollow
- solador
Sources for this job· O*NET 47-2044.00· ESCO/ISCO 7122