Automation index
How much of a Payroll clerk’s job can AI already do?
A payroll engine comes earlier. Paying right without leaving anyone at zero do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Payroll clerk
27%
AI can already do 27% of this job.
#183 / 633
View rankingPayroll clerk
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 |
|---|---|---|---|
Starters, variables and the engine.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Incidents, the missed day and overtime.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Social security, tax and the month’s return.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Query, the payslip and the one who does not get it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The close, the rush and not paying twice.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Pay right, and not leaving anyone at zero.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
- payroll starters
- variables
- income tax
- social security
- payslips
- overtime
- payroll close
- incidents
Sources for this job· O*NET 43-3051.00· ESCO/ISCO 4313
IS WORK OVER?
Blood bank technician
28%
#120 / 633
View rankingBlood bank technician
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 |
|---|---|---|---|
Group, screen and the bag crossmatch.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Fractionate, label and traceability.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The emergency, the massive and the ID error.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Donation, apheresis and the donor who feels unwell.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Stock, expiry and what theatre asks for.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The right bag and owning the blood group.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
- crossmatch blood
- blood group
- fractionate products
- donor apheresis
- bag traceability
- massive transfusion
- label units
- blood bank
Sources for this job· O*NET 29-2011.00· ESCO/ISCO 3212