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

Development cooperation officer

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
Agreements, alignment and the SDGs on the card.
Estimate

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

16%48%+7.7
Follow-up, missions and reports to the agency.
Estimate

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

16%36%+5.8
The local partner, the counterpart and the disagreement.
Estimate

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

18%16%+2.9
Budget, currency and what stays in management.
Estimate

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

16%28%+4.5
The context that shifts and reworking the approach.
Estimate

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

18%18%+3.2
Not imposing, and accounting on both sides.
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

  • cooperation agreements
  • align with SDGs
  • agency reports
  • southern partners
  • monitoring missions
  • hard-currency budget
  • counterparts
  • accountability

Sources for this job· O*NET 19-3094.00· ESCO/ISCO 2635

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