Automation index
How much of a Social security officer’s job can AI already do?
A pension file comes earlier. The right person being paid without hanging the one who should not do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Social security officer
27%
AI can already do 27% of this job.
#216 / 733
View rankingSocial security officer
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 |
|---|---|---|---|
File, contributions and the right.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Incapacity, the opinion and the one who cannot.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Benefit, the deadline and not leaving them unpaid.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Fraud, the visit and not hunting the poor.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The doctor, the discharge and not fighting for sport.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That the right one is paid, and not the one who should not.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- pensions
- contributions
- incapacity
- benefits
- opinions
- fraud
- social-security deadlines
- medical discharges
Sources for this job· O*NET 13-1141.00· ESCO/ISCO 3353
IS WORK OVER?
Reliability engineer
27%
#175 / 733
View rankingReliability 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 |
|---|---|---|---|
Data, MTBF and the Pareto.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Failure, the cause and not patching twice.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Spare, the critical and not hiding it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
RCM, the plan and the one that is not done.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Production, the rush and not running the tired one.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not drop at three, and not hiding the spare.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- MTBF
- Pareto
- root causes
- critical spares
- RCM
- failures
- maintenance plans
- not patch twice
Sources for this job· O*NET 17-2112.00· ESCO/ISCO 2141