IS WORK OVER?

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

Astronomer

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.

TaskShareAIPoints
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
Total100%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

Agile coach

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.

TaskShareAIPoints
Boards, metrics and the cadence design.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
The real retro and the elephant in the room.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
Train, unblock and the manager who will not let go.
Estimate

No public source provides a precise figure. This is our estimate.

16%32%+5.1
Scale, dependencies and fake agile.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Conflict, power and not selling extra frameworks.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
That they stop faking it, and not inflating velocity.
Estimate

No public source provides a precise figure. This is our estimate.

16%14%+2.2
Total100%24%

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

Skills and activities

  • retros
  • agile cadence
  • unblock teams
  • flow metrics
  • fake agile
  • agile training
  • dependencies
  • velocity

Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421

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