Automation index
How much of a Crime scene technician’s job can AI already do?
A trace protocol comes earlier. Not contaminating the scene so it holds up in court do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Crime scene technician
23%
AI can already do 23% of this job.
#315 / 633
View rankingCrime scene 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 |
|---|---|---|---|
Inspection, photos and the scene sketch.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Collect traces, prints and the DNA that gets walked on.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 12% | +2.2 |
Chain of custody, labels and the lab.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Report, reconstruction and the file.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The dirty scene, the rush and the one who enters ungloved.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That it holds in court, and not breaking the chain.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 23% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- collect traces
- fingerprints
- chain of custody
- photograph scenes
- forensic DNA
- scene sketch
- police lab
- not contaminate
Sources for this job· O*NET 19-4092.00· ESCO/ISCO 3119
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