IS WORK OVER?

Automation index

How much of a SAP specialist’s job can AI already do?

A customising and a report come earlier. Payroll coming out on the 30th does not.

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

Task comparison

SAP specialist

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
Customising, specs and module tests.
Estimate

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

18%48%+8.6
Integrations, IDocs and interface faults.
Estimate

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

16%32%+5.1
Key user, training and resistance.
Estimate

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

16%22%+3.5
Go-lives and windows.
Estimate

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

16%18%+2.9
Documentation, authorisations and audit.
Estimate

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

18%16%+2.9
Not leaving a company unable to invoice.
Estimate

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

16%14%+2.2
Total100%25%

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

Skills and activities

  • Customising, specs and module tests
  • Integrations, IDocs and interface faults
  • Key user, training and resistance
  • Go-lives and windows
  • Documentation, authorisations and audit
  • Not leaving a company unable to invoice
  • especialista sap
  • consultor sap
  • erp specialist

Sources for this job· O*NET 15-1211.00· ESCO/ISCO 2511

Cabin manager

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
Briefing, door assignment and the log.
Estimate

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

16%36%+5.8
Cabin, the difficult passenger and turbulence.
Estimate

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

22%8%+1.8
Service, allergies and the one who is ill.
Estimate

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

16%22%+3.5
Safety, the demo and the kit.
Estimate

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

16%28%+4.5
Delay, overbooking and the one who will not sit.
Estimate

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

16%18%+2.9
Evacuate for real, and sign the cabin.
Estimate

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

14%12%+1.7
Total100%20%

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

Skills and activities

  • cabin briefing
  • assign doors
  • difficult passenger
  • safety demo
  • onboard allergies
  • overbooking
  • evacuate
  • turbulence

Sources for this job· O*NET 53-2031.00· ESCO/ISCO 5111

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