IS WORK OVER?

Automation index

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

A calculation and a model come earlier. Signing a shaft that will not break does not.

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

Task comparison

Mechanical 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
Calculate, model and simulate parts and assemblies.
Estimate

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

18%48%+8.6
Drawings, tolerances and bills of materials.
Estimate

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

16%32%+5.1
Meetings with shop, client and purchasing.
Estimate

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

16%22%+3.5
Tests, prototypes and commissioning.
Estimate

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

18%18%+3.2
Rules, quality and CE documentation.
Estimate

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

16%16%+2.6
Sign, register and own the design.
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

  • Meetings with shop, client and purchasing
  • Tests, prototypes and commissioning
  • Rules, quality and CE documentation
  • Sign, register and own the design
  • ingeniero mecanico
  • mechanical engineer

Sources for this job· O*NET 17-2141.00· ESCO/ISCO 2144

Agile coach

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
Boards, metrics and the cadence design.
Estimate

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

16%40%+6.4
The real retro and the elephant in the room.
Estimate

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

18%14%+2.5
Train, unblock and the manager who will not let go.
Estimate

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

16%32%+5.1
Scale, dependencies and fake agile.
Estimate

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

16%28%+4.5
Conflict, power and not selling extra frameworks.
Estimate

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

18%18%+3.2
That they stop faking it, and not inflating velocity.
Estimate

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

16%14%+2.2
Total100%24%

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

Skills and activities

  • retros
  • agile cadence
  • unblock teams
  • flow metrics
  • fake agile
  • agile training
  • dependencies
  • velocity

Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421

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