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

Dosimetrist

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
CT, contours and the plan.
Estimate

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

16%40%+6.4
Organ at risk, the curve and not overshooting.
Estimate

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

18%14%+2.5
Physics, the check and the one that does not fit.
Estimate

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

16%28%+4.5
Fraction, the setup and the patient who is not the same.
Estimate

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

16%22%+3.5
The oncologist, the trade-off and not signing blind.
Estimate

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

18%18%+3.2
The tumour gets it, and the healthy organ does not.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • dose plans
  • contours
  • organs at risk
  • dosimetry check
  • fractions
  • setup
  • sim CT
  • DVH curves

Sources for this job· O*NET 29-2036.00· ESCO/ISCO 3211

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