IS WORK OVER?

Automation index

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

A bole comes earlier. Laying gold leaf without seeing the join do not.

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

Task comparison

Gilder

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
Prep, bole and the ground.
Estimate

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

16%32%+5.1
Lay, gold leaf and the join.
Estimate

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

22%8%+1.8
Burnish, matte and the one that lifts.
Estimate

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

16%22%+3.5
Frame, altarpiece and the client who touches.
Estimate

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

16%28%+4.5
The humidity, the shop and not laying in a rush.
Estimate

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

16%18%+2.9
No visible join, and not eating the gold.
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

  • bole
  • gold leaf
  • burnish
  • joins
  • frames
  • altarpieces
  • matte
  • gilding ground

Sources for this job· O*NET 51-9123.00· ESCO/ISCO 7316

Reliability 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
Data, MTBF and the Pareto.
Estimate

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

18%48%+8.6
Failure, the cause and not patching twice.
Estimate

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

16%40%+6.4
Spare, the critical and not hiding it.
Estimate

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

16%22%+3.5
RCM, the plan and the one that is not done.
Estimate

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

16%28%+4.5
Production, the rush and not running the tired one.
Estimate

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

18%14%+2.5
That it does not drop at three, and not hiding the spare.
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

  • MTBF
  • Pareto
  • root causes
  • critical spares
  • RCM
  • failures
  • maintenance plans
  • not patch twice

Sources for this job· O*NET 17-2112.00· ESCO/ISCO 2141

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