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

Community health worker

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
Health map, workshops and the calendar.
Estimate

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

16%40%+6.4
Street, doorway and the neighbour who does not come.
Estimate

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

18%14%+2.5
Vaccines, screening and referring to the clinic.
Estimate

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

16%32%+5.1
Data, report and the health table.
Estimate

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

16%28%+4.5
The rumour, the distrust and not moralising.
Estimate

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

18%18%+3.2
That they come, and not inflating workshop numbers.
Estimate

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

16%14%+2.2
Total100%24%

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

Skills and activities

  • health workshops
  • health map
  • door-to-door
  • refer to clinic
  • screening
  • health table
  • community vaccination
  • health distrust

Sources for this job· O*NET 21-1094.00· ESCO/ISCO 3253

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