Automation index

How much of a Criminologist’s job can AI already do?

A crime map comes earlier. Understanding why it happens there, and what to do with the repeat offender, do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

IS WORK OVER?

29%

AI can already do 29% of this job.

#57 / 623

Criminologist

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
Data, maps and the victimisation report. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Profiles, reoffending and programme evaluation. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Field, interviews and what the spreadsheet misses. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Police, judges and the measure under debate. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Prevention, the neighbourhood and the programme that does not fit. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
The opinion, and not selling magic recipes. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		28%

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

IS WORK OVER?

21%

#434 / 623

Network 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
Diagrams, inventory and standard configs. Estimate No public source provides a precise figure. This is our estimate.	18%	38%	+6.8
Tickets, remote diagnosis and logs. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Pulling, racking, crimping and labelling. Estimate No public source provides a precise figure. This is our estimate.	22%	12%	+2.6
Bring up links, VLANs and site Wi-Fi. Estimate No public source provides a precise figure. This is our estimate.	16%	15%	+2.4
On-call, outages and user care. Estimate No public source provides a precise figure. This is our estimate.	14%	18%	+2.5
Vendors, civil work and access. Estimate No public source provides a precise figure. This is our estimate.	14%	16%	+2.2
Total	100%		21%

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