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
IS WORK OVER?
Colourist
27%
AI can already do 27% of this job.
#141 / 623
View rankingColourist
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.
| Task | Share | AI | Points |
|---|---|---|---|
Look, stills and the reference.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Session, nodes and the hard shot.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Skin, sky and not eating the set.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Delivery, HDR and the one that misses in the theatre.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The director, the ego and not loading the orange.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Skin holds, and the look does not lie.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 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
IS WORK OVER?
Agile coach
24%
#257 / 623
View rankingAgile coach
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.
| Task | Share | AI | Points |
|---|---|---|---|
Boards, metrics and the cadence design.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The real retro and the elephant in the room.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Train, unblock and the manager who will not let go.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Scale, dependencies and fake agile.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Conflict, power and not selling extra frameworks.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they stop faking it, and not inflating velocity.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- retros
- agile cadence
- unblock teams
- flow metrics
- fake agile
- agile training
- dependencies
- velocity
Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421