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

Farrier

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
Hoof, balance and the animal’s card.
Estimate

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

16%32%+5.1
Trim, nail and the one that will not stand.
Estimate

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

22%8%+1.8
Forge, the made shoe and the trim.
Estimate

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

16%22%+3.5
Lameness, the vet and not blaming the shoe.
Estimate

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

16%28%+4.5
The yard, the owner and the one who does not pay.
Estimate

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

16%18%+2.9
Not lame, and not over-nailing.
Estimate

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

14%12%+1.7
Total100%19%

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

Skills and activities

  • shoe horses
  • balance
  • trim hooves
  • made shoes
  • lameness
  • the forge
  • yards
  • nail

Sources for this job· O*NET 45-2021.00· ESCO/ISCO 6121

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