Automation index

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

A form and an obituary come earlier. Collecting someone and looking after the family 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.

#330 / 633

Funeral director

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
Paperwork, chapel, burial and cremation. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Collection, thanatopraxy and care of the body. Estimate No public source provides a precise figure. This is our estimate.	18%	12%	+2.2
The family, the wake, and what is and is not possible. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Notice, flowers, hearse and the minute-by-minute of the rite. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Cemetery, times and suppliers. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Dignity, legal times and owning the service. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		22%

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

IS WORK OVER?

26%

#211 / 633

Last-mile 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
Zones, capacity and route cuts. Estimate No public source provides a precise figure. This is our estimate.	16%	44%	+7
KPIs, first attempt and incidents. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
The courier, the lobby and the one who will not open. Estimate No public source provides a precise figure. This is our estimate.	18%	16%	+2.9
Peaks, rain and hiring too many or too few. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The angry customer and not dressing delivered. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Cover the peak, and not leaving the neighbourhood orphaned. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		26%

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