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

Last-mile manager

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
Zones, capacity and route cuts.
Estimate

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

16%44%+7
KPIs, first attempt and incidents.
Estimate

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

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

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

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

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

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

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

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

Analyse my job

Jobs with similar scores

  1. 138Category manager27%
  2. 139Research scientist27%
  3. 140Climatologist27%
  4. 142Export salesperson27%
  5. 143Inside sales27%
  6. 144Truck driver27%