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.
#192 / 643
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?
Clinical research associate
27%
#172 / 643
View rankingClinical research associate
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 |
|---|---|---|---|
Protocol, CRF and the monitoring visit.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Source, the gap and the one that does not fit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Adverse event, the deadline and not delaying.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Consent, the signature and the one who did not understand.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The sponsor, the audit and not dressing the figure.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Audit, and not leaving a made-up figure.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
- CRF
- monitoring
- adverse events
- informed consent
- source data
- trial audits
- clinical protocols
- site visits
Sources for this job· O*NET 11-9121.00· ESCO/ISCO 2131