IS WORK OVER?

Automation index

How much of a Automation engineer’s job can AI already do?

A PLC and a SCADA come earlier. Leaving the plant in auto without it tripping do not.

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

Task comparison

Automation 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
PLC, SCADA and the interlock.
Estimate

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

18%48%+8.6
Panel, loops and the lying sensor.
Estimate

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

16%22%+3.5
FAT, SAT and commissioning.
Estimate

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

16%36%+5.8
Recipes, batches and the product change.
Estimate

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

16%28%+4.5
The shift, the alarm and not bypassing the interlock.
Estimate

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

18%14%+2.5
That it does not trip, and documenting the program.
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

  • program PLCs
  • SCADA
  • interlocks
  • control loops
  • FAT SAT
  • commissioning
  • plant alarms
  • automation panels

Sources for this job· O*NET 17-3024.00· ESCO/ISCO 2149

Criminologist

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
Data, maps and the victimisation report.
Estimate

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

18%48%+8.6
Profiles, reoffending and programme evaluation.
Estimate

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

16%40%+6.4
Field, interviews and what the spreadsheet misses.
Estimate

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

18%18%+3.2
Police, judges and the measure under debate.
Estimate

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

16%28%+4.5
Prevention, the neighbourhood and the programme that does not fit.
Estimate

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

16%22%+3.5
The opinion, and not selling magic recipes.
Estimate

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

16%14%+2.2
Total100%28%

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

Skills and activities

  • crime maps
  • study reoffending
  • victimisation
  • evaluate programmes
  • situational prevention
  • criminological profiles
  • reports for judges
  • fieldwork

Sources for this job· O*NET 19-3041.00· ESCO/ISCO 2632

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