Automation index
How much of a Office receptionist’s job can AI already do?
A diary comes earlier. Greeting without losing the visitor in the lobby do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Office receptionist
22%
AI can already do 22% of this job.
#374 / 633
View rankingOffice receptionist
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 |
|---|---|---|---|
Diary, visitors and the lobby.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Calls, the one who is out and the message.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Parcels, the urgent and not signing blind.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Access, the one without an appointment and not letting them through.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The peak, the mood and keeping calm.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Greet, and not losing the visitor.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- visitor diary
- lobby
- messages
- parcels
- access
- switchboard
- appointments
- sign-ins
Sources for this job· O*NET 43-4171.00· ESCO/ISCO 4226
IS WORK OVER?
Mobile developer
28%
#92 / 633
View rankingMobile developer
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 |
|---|---|---|---|
Screens, API and offline state.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Store review, crashlytics and ANRs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Real device, the notch and fragmented Android.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
CI, tests and the week's release.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Product, the redesign and not breaking what people use.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not crash, and not ignoring the one-star.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- build apps
- ship to stores
- crashlytics
- offline state
- ANRs
- mobile tests
- fragmented Android
- store review
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514