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

Information specialist

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
Classify, index and describe holdings.
Estimate

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

18%48%+8.6
Thesauri, metadata and the internal search.
Estimate

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

16%52%+8.3
Answer queries and retrieve what nobody can find.
Estimate

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

16%28%+4.5
Records policy, retention and destruction.
Estimate

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

18%22%+4
Train people who file badly and people who do not file.
Estimate

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

16%18%+2.9
The organisation’s memory, and not losing it.
Estimate

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

16%14%+2.2
Total100%30%

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

Skills and activities

  • manage records
  • index holdings
  • classify archives
  • retrieve information
  • metadata
  • thesauri
  • retention policy
  • internal search

Sources for this job· O*NET 25-4013.00· ESCO/ISCO 2622

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