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.
#206 / 703
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?
Instructional designer
27%
#158 / 703
View rankingInstructional designer
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 |
|---|---|---|---|
Aim, the storyboard and the module.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Pilot, the learner and what is not understood.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Activity, the feedback and not putting a silly test.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
LMS, the figure and not inflating completion.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The client, the deadline and not cutting the practice.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That they learn, and not leaving the empty video.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
- course storyboard
- modules
- learner pilot
- activities
- LMS
- completion
- feedback
- not a silly test
Sources for this job· O*NET 25-9031.00· ESCO/ISCO 2351