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
IS WORK OVER?
Switchboard operator
27%
AI can already do 27% of this job.
#187 / 623
View rankingSwitchboard 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.
| Task | Share | AI | Points |
|---|---|---|---|
Board, destinations and the shift.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
The call, the one who is out and the message.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Emergencies, the anger and not losing it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Directory, changes and not putting through wrong.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The peak, the queues and not hanging up.EstimateNo 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.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 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
IS WORK OVER?
Cartographer
31%
#31 / 623
View rankingCartographer
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.
| Task | Share | AI | Points |
|---|---|---|---|
Sources, OSM, satellite and generalisation.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Symbology, type and visual hierarchy.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Projections, scales and getting the heights right.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Review with the client, the field and the lie in the data.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Print maps, web maps and updates.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Credit, metadata and owning the map.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- make maps
- generalise cartography
- symbology
- choose projection
- visual hierarchy
- update OSM
- web maps
- maps that do not lie
Sources for this job· O*NET 17-1021.00· ESCO/ISCO 2165