Automation index
How much of a Family support worker’s job can AI already do?
A household card comes earlier. Going into the home so the family gets through the day do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Family support worker
20%
AI can already do 20% of this job.
#472 / 633
View rankingFamily support worker
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 |
|---|---|---|---|
The intervention plan and case coordination.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Home, hygiene, food and the child who misses school.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 10% | +2.2 |
Teach routines without replacing the parent.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Reports, social services and the school.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The row in the living room and getting out whole.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
The bond, and not making yourself indispensable.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 20% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- home intervention
- teach routines
- family hygiene
- reports to social services
- home support
- truant child
- intervention plan
- not replacing the family
Sources for this job· O*NET 21-1093.00· 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