Automation index

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

An ERP comes earlier. Issuing the right invoice without blocking the client do not.

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

Task comparison

IS WORK OVER?

27%

AI can already do 27% of this job.

#152 / 623

Billing clerk

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
Orders, delivery notes and the invoice. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
VAT, withholdings and the one that does not square. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Credit notes, the credit and the client who argues. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Close, the immediate supply and the deadline. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Sales, the extra and not over-billing. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
The right invoice, and not blocking the client. 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

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