Automation index
How much of a Actor’s job can AI already do?
A self-tape and a script breakdown come earlier. Hitting a mark on a set, and actually crying, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Actor
17%
AI can already do 17% of this job.
#585 / 633
View rankingActor
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 |
|---|---|---|---|
Break down the text, mark and memorise.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Self-tapes and casting materials.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Perform on set, stage or in voice-over.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 6% | +1.3 |
Rehearse with director and cast.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 10% | +1.6 |
Care for body, voice and emotional continuity.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
Promotion, agents and life between jobs.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
| Total | 100% | 17% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Break down the text, mark and memorise
- Self-tapes and casting materials
- Perform on set, stage or in voice-over
- Rehearse with director and cast
- Promotion, agents and life between jobs
- actor
- actriz
- actor de cine
- actor de teatro
Sources for this job· O*NET 27-2011.00· ESCO/ISCO 2655
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