IS WORK OVER?

Automation index

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

A CMMS and a procedure come earlier. Hearing a bearing, and leaving the plant running, do not.

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

Task comparison

Maintenance technician

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
CMMS, history and spare orders.
Estimate

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

18%40%+7.2
Procedures, written LOTO and logs.
Estimate

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

16%32%+5.1
Diagnose, strip and repair.
Estimate

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

20%12%+2.4
Field preventative and measurements.
Estimate

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

16%15%+2.4
On-call, shutdowns and production pressure.
Estimate

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

16%14%+2.2
Safety, permits and not leaving the plant down.
Estimate

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

14%16%+2.2
Total100%22%

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

Skills and activities

  • CMMS, history and spare orders
  • Procedures, written LOTO and logs
  • Diagnose, strip and repair
  • Field preventative and measurements
  • On-call, shutdowns and production pressure
  • tecnico de mantenimiento
  • maintenance technician
  • mantenimiento industrial

Sources for this job· O*NET 49-9041.00· ESCO/ISCO 3115

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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