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.
#383 / 643
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?
Statistician
26%
#206 / 643
View rankingStatistician
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 |
|---|---|---|---|
Model, clean and visualise.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 48% | +9.6 |
Design sample, experiment and biases.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Client, questions and not overfitting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Reproducibility, code and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Publication, review and data ethics.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not selling a p-value that does not hold.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model, clean and visualise
- Design sample, experiment and biases
- Client, questions and not overfitting
- Reproducibility, code and documentation
- Publication, review and data ethics
- Not selling a p-value that does not hold
- estadistico
- statistician
Sources for this job· O*NET 15-2041.00· ESCO/ISCO 2120