Automation index
How much of a Office manager’s job can AI already do?
An office inventory comes earlier. The house working without running out of paper do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Office manager
27%
AI can already do 27% of this job.
#169 / 633
View rankingOffice manager
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 |
|---|---|---|---|
Vendors, contracts and the inventory.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Facilities, the air-con and the one who is late.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Onboarding, keys and the desk.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Budget, the extra and not overspending.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Management, the surprise and not leaving the office dark.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it works, and not running out of paper.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
- office inventory
- facilities
- onboarding
- vendor contracts
- keys
- desks
- office budget
- air-con
Sources for this job· O*NET 11-3012.00· ESCO/ISCO 1219
IS WORK OVER?
Statistician
26%
#201 / 633
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