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 / 623
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?
Hearing aid technician
24%
#281 / 623
View rankingHearing aid 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 |
|---|---|---|---|
Audiometry, thresholds and the fitting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Take the mould, trial and the one who hates the whistle.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Program, verify and retune the aid.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Repair, batteries and aftercare.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Explain, family and the stigma of the device.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That they actually hear, and not taking the aid back.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- fit hearing aids
- take earmoulds
- audiometry
- program aids
- verify gain
- repair aids
- hearing thresholds
- aftercare
Sources for this job· O*NET 29-2092.00· ESCO/ISCO 3214