IS WORK OVER?

Automation index

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

A patch and a check come earlier. Hearing it, and no feedback, do not.

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

Task comparison

Sound 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
Patch, rider and a first check.
Estimate

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

16%32%+5.1
Mix, mic and not let it feed back.
Estimate

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

22%10%+2.2
Stage, in-ears and quick changes.
Estimate

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

16%18%+2.9
Artist, director and production.
Estimate

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

16%22%+3.5
Cables, spares and strike.
Estimate

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

16%16%+2.6
Not leaving a gig mute.
Estimate

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

14%14%+2
Total100%18%

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

Skills and activities

  • Patch, rider and a first check
  • Mix, mic and not let it feed back
  • Stage, in-ears and quick changes
  • Artist, director and production
  • Cables, spares and strike
  • Not leaving a gig mute
  • tecnico de sonido
  • sonidista
  • sound technician

Sources for this job· O*NET 27-4014.00· 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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