Automation index
How much of a Film director’s job can AI already do?
A storyboard and a shooting plan assemble. Saying action, watching the actor, and cutting or not do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Film director
19%
AI can already do 19% of this job.
#491 / 633
View rankingFilm director
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 |
|---|---|---|---|
Breakdown, storyboard and shooting plan.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 40% | +7.2 |
Casting, locations and pre-rehearsal.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Direct on set: action, continuity and taste.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Edit, colour and sound with the team.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Handle producer, time and budget.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
Vision of the film and final cut.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 10% | +1.4 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Breakdown, storyboard and shooting plan
- Casting, locations and pre-rehearsal
- Edit, colour and sound with the team
- Handle producer, time and budget
- Vision of the film and final cut
- director de cine
- film director
- realizador
Sources for this job· O*NET 27-2012.00· ESCO/ISCO 2654
IS WORK OVER?
Data engineer
31%
#36 / 633
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