Automation index

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

A waste code comes earlier. The waste going where it should, not the next bin, do not.

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

Task comparison

IS WORK OVER?

22%

AI can already do 22% of this job.

#392 / 633

Waste 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
Code, characterise and the paper. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Plant, the mix and the one you cannot. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Move, the haulier and the note. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Inspection, the tip and not hiding. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
The producer, the saving and not diluting. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Where it should, not next door. Estimate No 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

IS WORK OVER?

21%

#439 / 633

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