IS WORK OVER?

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

Salesforce administrator

Where the time goes

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.

TaskShareAIPoints
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
Total100%28%

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

Skills and activities

  • Salesforce flows
  • permissions
  • CRM reports
  • data clean-up
  • sandboxes
  • custom objects
  • dashboards
  • sales adoption

Sources for this job· O*NET 15-1242.00· ESCO/ISCO 2522

Station master

Where the time goes

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.

TaskShareAIPoints
Graph, orders and the station log.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Platforms, the crossing and the late train.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
Staff, shifts and the ticket-office gap.
Estimate

No public source provides a precise figure. This is our estimate.

16%32%+5.1
Incident, passengers and the PA.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Works, closures and leaving nobody on the platform.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
That they do not meet, and signing the graph.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%23%

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

Skills and activities

  • train graph
  • orders
  • platforms
  • ticket office
  • PA
  • line crossings
  • station shifts
  • station logs

Sources for this job· O*NET 53-4031.00· ESCO/ISCO 4323

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