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 / 623
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?
Ice-cream maker
22%
#338 / 623
View rankingIce-cream maker
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 |
|---|---|---|---|
Base, overrun and the recipe.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
Churn, age and the one that crystals.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 12% | +2.2 |
List, season and the flavour that misses.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Workshop, cold and the broken chain.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Summer, the queue and not running out of vanilla.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Creamy in the mouth, and not selling ice.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- churn
- overrun
- age bases
- ice-cream list
- cold chain
- ice crystals
- vanilla
- ice-cream season
Sources for this job· O*NET 51-3099.00· ESCO/ISCO 7512