Automation index
How much of a Foley artist’s job can AI already do?
A footstep list comes earlier. Foot, cloth and the hit sounding true do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Foley artist
22%
AI can already do 22% of this job.
#322 / 633
View rankingFoley artist
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 |
|---|---|---|---|
List, picture and the point.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Footstep, cloth and the hit.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Stage, mics and the one that eats the dialogue.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Mix, the editor and the one that misses.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The director, the taste and not loading extra steps.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That it sounds true, and not covering the voice.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- footsteps
- cloth
- hits
- foley stage
- picture
- mics
- the mix
- effects lists
Sources for this job· O*NET 27-4014.00· ESCO/ISCO 3521
IS WORK OVER?
Prompt engineer
34%
#21 / 633
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