Automation index
How much of a Astronomer’s job can AI already do?
A night of telescope time comes earlier. Reducing the data without selling the find early do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Astronomer
27%
AI can already do 27% of this job.
#134 / 633
View rankingAstronomer
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 |
|---|---|---|---|
Proposal, time and the instrument.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Observe, calibrate and the one that clouds over.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Reduce, the pipeline and the artefact.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Paper, the referee and not jumping.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The facility, the queue and not losing the night.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Reduce, and not selling the find early.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- telescope time
- calibrate
- pipelines
- papers
- artefacts
- nights
- proposals
- instruments
Sources for this job· O*NET 19-2011.00· ESCO/ISCO 2111
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