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 / 623
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?
Station master
23%
#302 / 623
View rankingStation master
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 |
|---|---|---|---|
Graph, orders and the station log.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Platforms, the crossing and the late train.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Staff, shifts and the ticket-office gap.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Incident, passengers and the PA.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Works, closures and leaving nobody on the platform.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they do not meet, and signing the graph.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 23% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- train graph
- orders
- platforms
- ticket office
- PA
- line crossings
- station shifts
- station logs
Sources for this job· O*NET 53-4031.00· ESCO/ISCO 4323