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.
#202 / 763
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?
QA automation engineer
27%
#185 / 763
View rankingQA automation engineer
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 |
|---|---|---|---|
Test, the selector and the flake.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Pipeline, the green and the one that lies.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Bug, the repro and not closing it blind.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Data, the environment and not sharing prod.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The developer, the rush and not skipping the one that fails.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Catch the bug, and not painting a lying green.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
- automated tests
- selectors
- flakes
- QA pipelines
- repro
- environments
- lying green
- debug tests
Sources for this job· O*NET 15-1253.00· ESCO/ISCO 2519