IS WORK OVER?

Automation index

How much of a Librarian’s job can AI already do?

A catalogue and a source guide come earlier. Hosting a teenager, a researcher, and a silence do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Librarian

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
Catalogue, index and describe holdings.
Estimate

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

20%48%+9.6
Guides, searches and reference answers.
Estimate

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

16%40%+6.4
Floor desk and reading mediation.
Estimate

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

18%15%+2.7
Programme clubs, visits and training.
Estimate

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

16%18%+2.9
Preserve, digitise and decide what is bought.
Estimate

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

16%12%+1.9
Library policy and use conflicts.
Estimate

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

14%16%+2.2
Total100%26%

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

Skills and activities

  • Catalogue, index and describe holdings
  • Guides, searches and reference answers
  • Floor desk and reading mediation
  • Programme clubs, visits and training
  • Library policy and use conflicts
  • bibliotecari
  • librarian
  • documentalista

Sources for this job· O*NET 25-4022.00· ESCO/ISCO 2622

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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