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?

27%

AI can already do 27% of this job.

#183 / 623

Payroll clerk

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. 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
Total	100%		27%

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

IS WORK OVER?

28%

#83 / 623

Data architect

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
Models, lineage and the catalogue. Estimate No public source provides a precise figure. This is our estimate.	18%	52%	+9.4
Pipelines, quality and the data contract. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
The analyst who finds nothing and the mess. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Privacy, retention and the field you cannot keep. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The business, shadow IT and not building another lake. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That it gets used, and not letting raw data rot. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		28%

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