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

Station master

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
Graph, orders and the station log.
Estimate

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

16%40%+6.4
Platforms, the crossing and the late train.
Estimate

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

18%14%+2.5
Staff, shifts and the ticket-office gap.
Estimate

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

16%32%+5.1
Incident, passengers and the PA.
Estimate

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

16%22%+3.5
Works, closures and leaving nobody on the platform.
Estimate

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

18%18%+3.2
That they do not meet, and signing the graph.
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

  • train graph
  • orders
  • platforms
  • ticket office
  • PA
  • line crossings
  • station shifts
  • station logs

Sources for this job· O*NET 53-4031.00· ESCO/ISCO 4323

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