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.
#582 / 743
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?
Reliability engineer
27%
#176 / 743
View rankingReliability 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 |
|---|---|---|---|
Data, MTBF and the Pareto.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Failure, the cause and not patching twice.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Spare, the critical and not hiding it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
RCM, the plan and the one that is not done.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Production, the rush and not running the tired one.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not drop at three, and not hiding the spare.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
- MTBF
- Pareto
- root causes
- critical spares
- RCM
- failures
- maintenance plans
- not patch twice
Sources for this job· O*NET 17-2112.00· ESCO/ISCO 2141