IS WORK OVER?

Automation index

How much of a E-learning trainer’s job can AI already do?

A SCORM course comes earlier. Someone learning without dropping at module three do not.

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

Task comparison

E-learning trainer

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
Script, SCORM and the platform.
Estimate

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

18%48%+8.6
Tutoring, the forum and the one who vanishes.
Estimate

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

16%40%+6.4
Assess, copying and the one who does not log in.
Estimate

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

16%22%+3.5
Design, the video and not drowning in text.
Estimate

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

16%28%+4.5
The client, the deadline and not delivering a dressed-up PDF.
Estimate

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

18%14%+2.5
That they learn, and not dropping out.
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

  • SCORM
  • online tutoring
  • forums
  • platforms
  • course script
  • training videos
  • assess online
  • drop-out

Sources for this job· O*NET 25-9031.00· ESCO/ISCO 2351

Home-automation installer

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
Diagram, buses and scene programming.
Estimate

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

16%40%+6.4
Wire, sensors and the switch that does not answer.
Estimate

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

18%14%+2.5
Integrate lights, climate and the client app.
Estimate

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

16%32%+5.1
Train, guest mode and the one who breaks it.
Estimate

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

16%22%+3.5
The lived-in house and not leaving it dark.
Estimate

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

18%18%+3.2
That it obeys, and not needing the cloud for a switch.
Estimate

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

16%12%+1.9
Total100%23%

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

Skills and activities

  • program scenes
  • home buses
  • integrate climate
  • sensors
  • home app
  • switches
  • guest mode
  • wire KNX

Sources for this job· O*NET 47-2111.00· ESCO/ISCO 7411

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