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

Last-mile manager

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
Zones, capacity and route cuts.
Estimate

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

16%44%+7
KPIs, first attempt and incidents.
Estimate

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

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

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

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

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

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

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

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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