IS WORK OVER?

Automation index

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

A catalogue comes earlier. Locating the quake without over-alarming do not.

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

Task comparison

Seismologist

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
Network, catalogue and the location.
Estimate

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

18%48%+8.6
Quake, the analysis and the one that does not fit.
Estimate

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

16%40%+6.4
Alert, civil protection and not jumping.
Estimate

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

16%22%+3.5
Field, the station and the one that dies.
Estimate

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

16%28%+4.5
The press, the rumour and not scaring.
Estimate

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

18%14%+2.5
Locate, and not over-alarming.
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

  • quake catalogues
  • locate quakes
  • seismic network
  • alerts
  • civil protection
  • stations
  • rumours
  • quake analysis

Sources for this job· O*NET 19-2042.00· ESCO/ISCO 2114

Category manager

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
Assortment, prices and the shelf.
Estimate

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

18%48%+8.6
Supplier, the negotiation and the one that will not list.
Estimate

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

16%40%+6.4
Promo, the calendar and the one that clashes.
Estimate

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

16%22%+3.5
Data, margin and not killing the category.
Estimate

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

16%28%+4.5
Own-label, the clash and not hiding it.
Estimate

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

18%14%+2.5
That the category wins.
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

  • assortment
  • supplier negotiation
  • category margin
  • promos
  • own-label
  • the shelf
  • calendar
  • listings

Sources for this job· O*NET 11-2022.00· ESCO/ISCO 1221

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