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

Climatologist

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
Series, homogenise and the gap.
Estimate

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

18%48%+8.6
Models, scenarios and the uncertainty.
Estimate

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

16%40%+6.4
Report, the headline and not selling the easy one.
Estimate

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

16%22%+3.5
Field, the station and the one that moves.
Estimate

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

16%28%+4.5
The politician, the figure and not staying quiet.
Estimate

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

18%14%+2.5
Attribute, and not selling the headline.
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

  • climate series
  • homogenise
  • scenarios
  • uncertainty
  • headlines
  • stations
  • climate reports
  • attribution

Sources for this job· O*NET 19-2021.00· ESCO/ISCO 2112

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