IS WORK OVER?

Automation index

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

A switchboard comes earlier. Putting the call through without hanging up on the one who waits do not.

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

Task comparison

Switchboard operator

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
Board, destinations and the shift.
Estimate

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

18%48%+8.6
The call, the one who is out and the message.
Estimate

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

16%40%+6.4
Emergencies, the anger and not losing it.
Estimate

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

16%22%+3.5
Directory, changes and not putting through wrong.
Estimate

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

16%28%+4.5
The peak, the queues and not hanging up.
Estimate

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

18%14%+2.5
Put it through, and not hanging up on the one who waits.
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

  • switchboard
  • destinations
  • messages
  • directory
  • call queues
  • emergencies
  • telephony shifts
  • extension changes

Sources for this job· O*NET 43-2021.00· ESCO/ISCO 4223

Warehouse supervisor

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
Docks, waves and the shift plan.
Estimate

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

16%40%+6.4
The team, the peak and the one who cannot keep up.
Estimate

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

18%14%+2.5
Stock, shrink and the mystery gap.
Estimate

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

16%32%+5.1
Safety, forklifts and the near miss.
Estimate

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

16%28%+4.5
The late haulier and not mixing the docks.
Estimate

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

18%18%+3.2
Get the shift out, and not mixing the goods.
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

  • plan docks
  • waves
  • warehouse shift
  • shrink
  • forklifts
  • near misses
  • outbound peaks
  • mixed goods

Sources for this job· O*NET 53-1048.00· ESCO/ISCO 1324

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