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
IS WORK OVER?
SAP specialist
25%
AI can already do 25% of this job.
#224 / 623
View rankingSAP 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.
| Task | Share | AI | Points |
|---|---|---|---|
Customising, specs and module tests.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Integrations, IDocs and interface faults.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Key user, training and resistance.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Go-lives and windows.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Documentation, authorisations and audit.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Not leaving a company unable to invoice.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 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
IS WORK OVER?
Economist
30%
#49 / 623
View rankingEconomist
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.
| Task | Share | AI | Points |
|---|---|---|---|
Clean data, estimate and produce tables.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 52% | +11.4 |
Draft notes, briefs and a first paper.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 45% | +8.1 |
Choose model, assumptions and robustness.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Present to a client, ministry or board.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 15% | +2.4 |
Debate, peer-review and defend the numbers.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
Read the political context and data quality.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
| Total | 100% | 30% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Clean data, estimate and produce tables
- Draft notes, briefs and a first paper
- Choose model, assumptions and robustness
- Present to a client, ministry or board
- Debate, peer-review and defend the numbers
- economista
- economist
Sources for this job· O*NET 19-3011.00· ESCO/ISCO 2631