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?
Tactical analyst
27%
#132 / 633
View rankingTactical analyst
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 |
|---|---|---|---|
Video, tags and the report.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Opponent, patterns and the one who hides.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Preview, the dressing room and not drowning them.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Live, the tablet and the change.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The manager, the ego and not contradicting in public.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it is used, and not being noise.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
- tag video
- opponent patterns
- preview
- bench tablet
- tactical reports
- dressing room
- changes
- data noise
Sources for this job· O*NET 27-2022.00· ESCO/ISCO 3422