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.
#189 / 653
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?
Histology technician
19%
#554 / 653
View rankingHistology 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 |
|---|---|---|---|
Intake, the pot and not mixing cases.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Process, embed and the block.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Cut, the knife and the one that falls apart.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Stain, the control and the one that will not take.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The pathologist, the rush and not sending a bad cut.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Not losing the diagnosis on the knife.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- paraffin blocks
- histology cutting
- stains
- tissue processor
- not mix cases
- microtome knife
- stain controls
- embedding
Sources for this job· O*NET 29-2012.00· ESCO/ISCO 3212