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

Front-end developer

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
Component, states and the design.
Estimate

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

18%48%+8.6
Accessible, the keyboard and the reader.
Estimate

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

16%40%+6.4
Contrast, the token and not leaving it dead.
Estimate

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

16%22%+3.5
Performance, the weight and not adding the extra library.
Estimate

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

16%28%+4.5
The designer, the pixel and not fighting for sport.
Estimate

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

18%14%+2.5
That it works from the keyboard, and not leaving the contrast.
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

  • components
  • accessibility
  • keyboard
  • contrast
  • tokens
  • front-end performance
  • libraries
  • write interface

Sources for this job· O*NET 15-1254.00· ESCO/ISCO 2513

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