IS WORK OVER?

Automation index

How much of a Wall tiler’s job can AI already do?

A joint set-out comes earlier. No ugly cut and holding the water do not.

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

Task comparison

Wall tiler

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
Set-out, level and the tile format.
Estimate

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

16%32%+5.1
Adhesive, set and the tray fall.
Estimate

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

22%8%+1.8
Cut, drill and the tile that splits.
Estimate

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

16%22%+3.5
Grout, seal and the bath junction.
Estimate

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

16%28%+4.5
The client, the model change and the stock that is late.
Estimate

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

16%18%+2.9
No ugly cut, and no leak.
Estimate

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

14%12%+1.7
Total100%19%

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

Skills and activities

  • tile walls
  • set out joints
  • bed tiles
  • tray fall
  • seal junctions
  • cut tiles
  • drill tile
  • grout

Sources for this job· O*NET 47-2044.00· ESCO/ISCO 7122

Meteorologist

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
Models, maps and a first forecast.
Estimate

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

18%48%+8.6
Observation, sondes and satellite.
Estimate

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

16%28%+4.5
Warnings, civil protection and media.
Estimate

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

16%22%+3.5
Shift, uncertainty and not over-scaring.
Estimate

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

16%18%+2.9
Verification, archives and research.
Estimate

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

18%16%+2.9
Not sitting on a warning that saves someone.
Estimate

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

16%14%+2.2
Total100%25%

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

Skills and activities

  • Models, maps and a first forecast
  • Observation, sondes and satellite
  • Warnings, civil protection and media
  • Shift, uncertainty and not over-scaring
  • Verification, archives and research
  • meteorologo

Sources for this job· O*NET 19-2021.00· ESCO/ISCO 2112

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