IS WORK OVER?

Automation index

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

A data match comes earlier. Assessing what is there without inventing a crime do not.

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

Task comparison

Tax 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
Match, the return and the gap.
Estimate

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

18%48%+8.6
Notice, the deadline and the one who will not answer.
Estimate

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

16%40%+6.4
Minute, the facts and not stretching them.
Estimate

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

16%22%+3.5
Garnishment, proportion and not sinking extra.
Estimate

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

16%28%+4.5
The boss, the target and not hunting for sport.
Estimate

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

18%14%+2.5
Assess what is there, and not inventing the crime.
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

  • data matches
  • tax returns
  • notices
  • minutes
  • garnishments
  • facts
  • tax-office deadlines
  • not stretch facts

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

Lighting engineer

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
Calc, Dialux and the standard.
Estimate

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

18%48%+8.6
Works, the point and the one that was not put in.
Estimate

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

16%40%+6.4
Night, the glare and the pedestrian.
Estimate

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

16%22%+3.5
Saving, the LED and not leaving the crossing dark.
Estimate

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

16%28%+4.5
The council, the complaint and not dressing the lux.
Estimate

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

18%14%+2.5
That you can see, and not glaring.
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

  • Dialux
  • lux
  • glare
  • lighting points
  • LED
  • crossings
  • lighting standards
  • calcs

Sources for this job· O*NET 17-2199.00· ESCO/ISCO 2149

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