Automation index

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

A flow and a report come earlier. The salesperson using it instead of a side spreadsheet do not.

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

Task comparison

IS WORK OVER?

28%

AI can already do 28% of this job.

#77 / 623

Salesforce administrator

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
Objects, flows and permissions. Estimate No public source provides a precise figure. This is our estimate.	18%	52%	+9.4
Reports, dashboards and data clean-up. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
The rep who will not log in and the real process. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Releases, sandboxes and not breaking production. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
IT, legal and the field you cannot have. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That they use it, and not inflating licences. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		28%

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

IS WORK OVER?

26%

#211 / 623

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