Automation index

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

An ageing comes earlier. Collecting without breaking the client or letting the invoice die 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.

#155 / 623

Collections officer

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
Ageing, buckets and the call. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Deal, the promissory note and the one who does not answer. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Legal, the formal notice and the one who hides. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Sales, credit and not selling to a debtor. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The default, the insolvency and not dressing the balance. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Collect, and not breaking 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?

23%

#287 / 623

Anthropologist

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
Transcribe, code and write. Estimate No public source provides a precise figure. This is our estimate.	18%	40%	+7.2
Field, interviews and observation. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Archive, literature and research design. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Ethics, consent and communities. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Teaching, projects and outreach. Estimate No public source provides a precise figure. This is our estimate.	16%	16%	+2.6
Not extracting from people without giving anything back. 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