IS WORK OVER?

Automation index

How much of a University careers adviser’s job can AI already do?

A CV workshop comes earlier. Them leaving the degree with a plan, not panic, do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

University careers adviser

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
Workshop, the CV and the letter.
Estimate

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

18%48%+8.6
Appointment, the one who does not know and the one who wants everything.
Estimate

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

16%40%+6.4
Placement, the firm and not selling smoke.
Estimate

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

16%22%+3.5
Fair, the contact and the one who will not approach.
Estimate

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

16%28%+4.5
The dean, insertion and not dressing the rate.
Estimate

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

18%14%+2.5
A plan, and not panic.
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

  • university CVs
  • cover letters
  • placements
  • jobs fairs
  • graduate insertion
  • careers appointments
  • not sell smoke
  • workshops

Sources for this job· O*NET 21-1012.00· ESCO/ISCO 2423

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

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