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

Station master

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
Graph, orders and the station log.
Estimate

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

16%40%+6.4
Platforms, the crossing and the late train.
Estimate

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

18%14%+2.5
Staff, shifts and the ticket-office gap.
Estimate

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

16%32%+5.1
Incident, passengers and the PA.
Estimate

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

16%22%+3.5
Works, closures and leaving nobody on the platform.
Estimate

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

18%18%+3.2
That they do not meet, and signing the graph.
Estimate

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

16%12%+1.9
Total100%23%

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

Skills and activities

  • train graph
  • orders
  • platforms
  • ticket office
  • PA
  • line crossings
  • station shifts
  • station logs

Sources for this job· O*NET 53-4031.00· ESCO/ISCO 4323

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