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?
Tram driver
19%
#487 / 633
View rankingTram driver
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 |
|---|---|---|---|
Checks, log and the cab.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Drive, stops and the pedestrian who steps out.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 8% | +1.9 |
Badly parked car, calls and Control.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Timetable, reliefs and rush hour.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The tourist, the bike and not over-hooting.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
Hit nobody, and make the terminus.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- drive trams
- urban stops
- pedestrians
- badly parked cars
- Control
- rush hour
- cab checks
- terminus
Sources for this job· O*NET 53-4041.00· ESCO/ISCO 8311