Automation index
How much of a Sound technician’s job can AI already do?
A patch and a check come earlier. Hearing it, and no feedback, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Sound technician
18%
AI can already do 18% of this job.
#592 / 643
View rankingSound technician
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 |
|---|---|---|---|
Patch, rider and a first check.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Mix, mic and not let it feed back.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 10% | +2.2 |
Stage, in-ears and quick changes.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Artist, director and production.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Cables, spares and strike.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not leaving a gig mute.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 18% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Patch, rider and a first check
- Mix, mic and not let it feed back
- Stage, in-ears and quick changes
- Artist, director and production
- Cables, spares and strike
- Not leaving a gig mute
- tecnico de sonido
- sonidista
- sound technician
Sources for this job· O*NET 27-4014.00· ESCO/ISCO 3521
IS WORK OVER?
Prompt engineer
34%
#21 / 643
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