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?

23%

AI can already do 23% of this job.

#315 / 633

Crime scene technician

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. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
Collect traces, prints and the DNA that gets walked on. Estimate No public source provides a precise figure. This is our estimate.	18%	12%	+2.2
Chain of custody, labels and the lab. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Report, reconstruction and the file. Estimate No 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. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
That it holds in court, and not breaking the chain. Estimate No 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

IS WORK OVER?

27%

#138 / 633

Category manager

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
Assortment, prices and the shelf. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Supplier, the negotiation and the one that will not list. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Promo, the calendar and the one that clashes. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Data, margin and not killing the category. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Own-label, the clash and not hiding it. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That the category wins. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		27%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low