IS WORK OVER?

Automation index

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

Filing a PDF and a thesaurus come earlier. Retrieving what the house does not know it has do not.

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

Task comparison

Information specialist

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
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
Total100%30%

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

Skills and activities

  • manage records
  • index holdings
  • classify archives
  • retrieve information
  • metadata
  • thesauri
  • retention policy
  • internal search

Sources for this job· O*NET 25-4013.00· ESCO/ISCO 2622

Ice-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.

TaskShareAIPoints
Base, overrun and the recipe.
Estimate

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

16%44%+7
Churn, age and the one that crystals.
Estimate

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

18%12%+2.2
List, season and the flavour that misses.
Estimate

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

16%28%+4.5
Workshop, cold and the broken chain.
Estimate

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

16%22%+3.5
Summer, the queue and not running out of vanilla.
Estimate

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

18%18%+3.2
Creamy in the mouth, and not selling ice.
Estimate

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

16%12%+1.9
Total100%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

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