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.
#481 / 643
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?
Statistician
26%
#206 / 643
View rankingStatistician
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 |
|---|---|---|---|
Model, clean and visualise.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 48% | +9.6 |
Design sample, experiment and biases.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Client, questions and not overfitting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Reproducibility, code and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Publication, review and data ethics.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not selling a p-value that does not hold.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model, clean and visualise
- Design sample, experiment and biases
- Client, questions and not overfitting
- Reproducibility, code and documentation
- Publication, review and data ethics
- Not selling a p-value that does not hold
- estadistico
- statistician
Sources for this job· O*NET 15-2041.00· ESCO/ISCO 2120