IS WORK OVER?

Automation index

How much of a Lighting technician’s job can AI already do?

Rigs and runs lighting for stage or screen.

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

Task comparison

Lighting 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
Plot and programming
Estimate

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

25%35%+8.8
Rig and focus
Estimate

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

50%12%+6
The show
Estimate

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

15%15%+2.3
Incidents
Estimate

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

10%12%+1.2
Total100%18%

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

Skills and activities

  • ICT software specifications
  • multimedia systems
  • teamwork principles
  • guarantee customer satisfaction
  • load equipment
  • work ergonomically
  • set up multimedia equipment
  • work safely with machines
  • manage sound quality
  • use personal protection equipment

Sources for this job· O*NET 27-4015.00· ESCO/ISCO 3521

Mobile developer

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
Screens, API and offline state.
Estimate

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

18%52%+9.4
Store review, crashlytics and ANRs.
Estimate

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

16%40%+6.4
Real device, the notch and fragmented Android.
Estimate

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

16%22%+3.5
CI, tests and the week's release.
Estimate

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

16%28%+4.5
Product, the redesign and not breaking what people use.
Estimate

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

18%14%+2.5
That it does not crash, and not ignoring the one-star.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • build apps
  • ship to stores
  • crashlytics
  • offline state
  • ANRs
  • mobile tests
  • fragmented Android
  • store review

Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514

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