IS WORK OVER?

Automation index

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

A look comes earlier. Skin that holds without eating the set do not.

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

Task comparison

Colourist

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
Look, stills and the reference.
Estimate

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

18%48%+8.6
Session, nodes and the hard shot.
Estimate

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

16%40%+6.4
Skin, sky and not eating the set.
Estimate

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

16%22%+3.5
Delivery, HDR and the one that misses in the theatre.
Estimate

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

16%28%+4.5
The director, the ego and not loading the orange.
Estimate

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

18%14%+2.5
Skin holds, and the look does not lie.
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

  • looks
  • nodes
  • skin
  • HDR
  • stills
  • the colour bay
  • hard shots
  • look references

Sources for this job· O*NET 27-4032.00· 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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