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

Community health worker

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
Health map, workshops and the calendar.
Estimate

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

16%40%+6.4
Street, doorway and the neighbour who does not come.
Estimate

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

18%14%+2.5
Vaccines, screening and referring to the clinic.
Estimate

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

16%32%+5.1
Data, report and the health table.
Estimate

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

16%28%+4.5
The rumour, the distrust and not moralising.
Estimate

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

18%18%+3.2
That they come, and not inflating workshop numbers.
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

  • health workshops
  • health map
  • door-to-door
  • refer to clinic
  • screening
  • health table
  • community vaccination
  • health distrust

Sources for this job· O*NET 21-1094.00· ESCO/ISCO 3253

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