IS WORK OVER?

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

Social 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.

TaskShareAIPoints
File, contributions and the right.
Estimate

No public source provides a precise figure. This is our estimate.

18%48%+8.6
Incapacity, the opinion and the one who cannot.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Benefit, the deadline and not leaving them unpaid.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Fraud, the visit and not hunting the poor.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The doctor, the discharge and not fighting for sport.
Estimate

No 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.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%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

Fire investigator

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.

TaskShareAIPoints
Scene, the origin and not treading it.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Cause, the short and the rag.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
Sample, the lab and the one that does not fit.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Report, the insurer and not selling it.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
The judge, the hearing and not jumping to a yes.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
Call the cause, and not selling it to the insurer.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%22%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • fire origin
  • shorts
  • rags
  • samples
  • expert reports
  • insurers
  • the scene
  • not tread

Sources for this job· O*NET 33-2021.00· ESCO/ISCO 3119

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