Automation index
How much of a Social educator’s job can AI already do?
A report and a plan come earlier. Being with someone on the street and not dropping them does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Social educator
20%
AI can already do 20% of this job.
#450 / 633
View rankingSocial educator
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 |
|---|---|---|---|
Reports, individual plans and paperwork.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Accompany on the street, in flats and in the centre.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 10% | +2.2 |
Mediate families, resources and crises.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Coordinate services, courts and mental health.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Shifts, team and supervision.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not abandoning the person nobody wants.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 20% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Reports, individual plans and paperwork
- Mediate families, resources and crises
- Shifts, team and supervision
- Not abandoning the person nobody wants
- educador social
- educadora social
- social educator
Sources for this job· O*NET 21-1021.00· ESCO/ISCO 2635
IS WORK OVER?
Data engineer
31%
#36 / 633
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