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

Facilities engineer

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
CMMS, tickets and the PPM.
Estimate

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

16%40%+6.4
Roof, the chiller and the one that will not start.
Estimate

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

18%14%+2.5
Generator, the diesel and not leaving it dry.
Estimate

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

16%28%+4.5
Fire, the pump and the monthly test.
Estimate

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

16%22%+3.5
The tenant, August and not jumping to a yes.
Estimate

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

18%18%+3.2
That cooling does not die, and not leaving the generator dry.
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

  • CMMS
  • PPM
  • chillers
  • generators
  • diesel
  • fire pumps
  • roofs
  • tickets

Sources for this job· O*NET 17-2199.00· ESCO/ISCO 2149

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