IS WORK OVER?

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

Payroll 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.

TaskShareAIPoints
Starters, variables and the engine.
Estimate

No public source provides a precise figure. This is our estimate.

18%48%+8.6
Incidents, the missed day and overtime.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Social security, tax and the month’s return.
Estimate

No 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.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The close, the rush and not paying twice.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
Pay right, and not leaving anyone at zero.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%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

Order picker

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.

TaskShareAIPoints
List, location and the scan.
Estimate

No public source provides a precise figure. This is our estimate.

16%48%+7.7
Aisle, height and the parcel that will not fit.
Estimate

No public source provides a precise figure. This is our estimate.

22%10%+2.2
Errors, the short and calling it.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Pace, the shift and the pallet that goes.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Peaks, Black Friday and not mixing orders.
Estimate

No public source provides a precise figure. This is our estimate.

16%18%+2.9
Hit the SKU, and not leaving a lame pallet.
Estimate

No public source provides a precise figure. This is our estimate.

14%12%+1.7
Total100%22%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • picking
  • scan locations
  • shorts
  • build pallets
  • warehouse aisles
  • order peaks
  • SKUs
  • voice picking

Sources for this job· O*NET 53-7062.00· ESCO/ISCO 4321

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