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?

27%

AI can already do 27% of this job.

#134 / 623

Astronomer

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. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Observe, calibrate and the one that clouds over. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Reduce, the pipeline and the artefact. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Paper, the referee and not jumping. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The facility, the queue and not losing the night. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Reduce, and not selling the find early. Estimate No 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

IS WORK OVER?

31%

#33 / 623

Information specialist

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
Classify, index and describe holdings. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Thesauri, metadata and the internal search. Estimate No public source provides a precise figure. This is our estimate.	16%	52%	+8.3
Answer queries and retrieve what nobody can find. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Records policy, retention and destruction. Estimate No public source provides a precise figure. This is our estimate.	18%	22%	+4
Train people who file badly and people who do not file. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
The organisation’s memory, and not losing it. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		30%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low