Automation index
How much of a Set designer’s job can AI already do?
A sketch and a 3D come earlier. A set that stands and can be shot do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Set designer
26%
AI can already do 26% of this job.
#200 / 623
View rankingSet designer
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 |
|---|---|---|---|
The reading, references and the space concept.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Drawings, model, 3D and the element list.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 32% | +5.8 |
Build, workshop and fit-up in the room or on set.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Rehearsals, changes and what direction asks.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Budget, props and the trades.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
That it stands, reads, and comes down.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- design sets
- make models
- set drawings
- fit up
- props
- space concept
- set 3D
- stage fit-up
Sources for this job· O*NET 27-1027.00· ESCO/ISCO 3432
IS WORK OVER?
Prompt engineer
34%
#21 / 623
View rankingPrompt 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 prompts, tools and chains.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Evals, datasets and regressions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Integrate with product and safety limits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to the business about a good output.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Watch hallucinations, bias and cost.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 20% | +2.8 |
Decide what the model gets, and what it does not.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 16% | +1.9 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design prompts, tools and chains
- Evals, datasets and regressions
- Integrate with product and safety limits
- Talk to the business about a good output
- Watch hallucinations, bias and cost
- prompt engineer
- ingeniero de prompts
- llm engineer
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512