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

Olive-oil miller

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
Intake, yield and the mill log.
Estimate

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

16%40%+6.4
Crush, malaxate and the decanter.
Estimate

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

18%12%+2.2
Temperature, time and the fruitiness.
Estimate

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

16%28%+4.5
Cellar, the batch and the one that goes rancid.
Estimate

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

16%22%+3.5
The campaign, the tractor queue and not heating.
Estimate

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

18%18%+3.2
Cold for real, and not painting the yield.
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

  • crush olives
  • malaxation
  • decanter
  • fruitiness
  • the campaign
  • mill yield
  • oil cellar
  • extraction temperature

Sources for this job· O*NET 51-3092.00· ESCO/ISCO 7514

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