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

Logistics analyst

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
Costs, OTIF and the dashboard.
Estimate

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

18%52%+9.4
Simulate network, warehouses and the what-if.
Estimate

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

16%40%+6.4
Ops, dirty data and going down to the dock.
Estimate

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

16%22%+3.5
Report, the board and the cut that hurts.
Estimate

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

16%28%+4.5
The haulier, the contract and not breaking the service.
Estimate

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

18%14%+2.5
A real saving, and not dressing OTIF.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • logistics costs
  • OTIF
  • simulate network
  • what-if
  • dirty data
  • haulage contracts
  • dashboards
  • network cuts

Sources for this job· O*NET 13-1081.00· ESCO/ISCO 2421

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