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?
Data engineer
31%
#36 / 623
View rankingData engineer
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 |
|---|---|---|---|
Design pipelines, models and orchestration.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 50% | +12 |
Write SQL, Spark and data tests.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 45% | +8.1 |
Incidents, quality and lineage in production.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to analysts and negotiate data contracts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Cloud cost, permissions and PII.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Decide architecture and technical debt.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design pipelines, models and orchestration
- Write SQL, Spark and data tests
- Cloud cost, permissions and PII
- Decide architecture and technical debt
- ingeniero de datos
- data engineer
- etl
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511