IS WORK OVER?

Automation index

How much of a Tax inspector’s job can AI already do?

A data match comes earlier. Sitting across from the taxpayer and signing the adjustment do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Tax inspector

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
Data matching, returns and sampling.
Estimate

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

18%52%+9.4
Requests, minutes and the proposal.
Estimate

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

16%40%+6.4
The visit, the second till and what is not in the sheet.
Estimate

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

18%14%+2.5
Objections, appeals and the tax tribunal.
Estimate

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

16%28%+4.5
The team, deadlines and the file that slips.
Estimate

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

16%22%+3.5
A fair adjustment and signing the minute.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • match tax data
  • raise assessments
  • request papers
  • visit taxpayers
  • adjust tax
  • objections
  • tax tribunal
  • tax inspection

Sources for this job· O*NET 13-2081.00· ESCO/ISCO 3352

Olive-oil miller

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
Intake, yield and the mill log.
Estimate

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

16%40%+6.4
Crush, malaxate and the decanter.
Estimate

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

18%12%+2.2
Temperature, time and the fruitiness.
Estimate

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

16%28%+4.5
Cellar, the batch and the one that goes rancid.
Estimate

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

16%22%+3.5
The campaign, the tractor queue and not heating.
Estimate

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

18%18%+3.2
Cold for real, and not painting the yield.
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

  • crush olives
  • malaxation
  • decanter
  • fruitiness
  • the campaign
  • mill yield
  • oil cellar
  • extraction temperature

Sources for this job· O*NET 51-3092.00· ESCO/ISCO 7514

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