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?
Data engineer
31%
#36 / 623
View rankingData engineer
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 |
|---|---|---|---|
Design pipelines, models and orchestration.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 50% | +12 |
Write SQL, Spark and data tests.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 45% | +8.1 |
Incidents, quality and lineage in production.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to analysts and negotiate data contracts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Cloud cost, permissions and PII.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Decide architecture and technical debt.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design pipelines, models and orchestration
- Write SQL, Spark and data tests
- Cloud cost, permissions and PII
- Decide architecture and technical debt
- ingeniero de datos
- data engineer
- etl
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511