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

Public health officer

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
Surveillance, the indicator and the alert.
Estimate

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

16%40%+6.4
Outbreak, the questionnaire and the one who will not answer.
Estimate

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

18%14%+2.5
Field, the source and shutting the premises.
Estimate

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

16%28%+4.5
Report, the mayor and not softening the figure.
Estimate

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

16%22%+3.5
Vaccination, coverage and the rumour.
Estimate

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

18%18%+3.2
Cut the outbreak, and not softening it.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • epi surveillance
  • outbreaks
  • field questionnaires
  • shut premises
  • vaccine coverage
  • public-health alerts
  • mayors
  • not soften figures

Sources for this job· O*NET 21-1091.00· ESCO/ISCO 2263

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