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

CCTV 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.

TaskShareAIPoints
Plan, FOV and the recorder.
Estimate

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

16%40%+6.4
Fit, focus and the backlight that blinds.
Estimate

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

18%14%+2.5
Network, PoE and the disk that fills.
Estimate

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

16%32%+5.1
Data-protection law, signs and the client who wants the whole street.
Estimate

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

16%22%+3.5
Residents, the porter and the illegal angle.
Estimate

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

18%18%+3.2
See the face, and not recording extra.
Estimate

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

16%12%+1.9
Total100%23%

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

Skills and activities

  • focus cameras
  • FOV
  • PoE
  • recorders
  • data-protection signs
  • lawful angles
  • recording disks
  • camera plan

Sources for this job· O*NET 49-2098.00· ESCO/ISCO 7412

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