IS WORK OVER?

Automation index

How much of a Tool and die maker’s job can AI already do?

A CAD file and an electrode come earlier. Fitting the die so the run comes out do not.

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

Task comparison

Tool and die maker

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
Read the die, clearances and the 3D drawing.
Estimate

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

16%40%+6.4
Machine, fit and try the tooling.
Estimate

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

18%18%+3.2
Mount in the press, shoot and correct.
Estimate

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

18%22%+4
EDM, polish and cavity finish.
Estimate

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

16%32%+5.1
Die maintenance and changeovers.
Estimate

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

16%28%+4.5
Die life and liability for the part.
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

  • make dies
  • fit tooling
  • run EDM
  • try out tooling
  • polish cavities
  • mount in the press
  • maintain moulds
  • correct clearances

Sources for this job· O*NET 51-4111.00· ESCO/ISCO 7222

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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