IS WORK OVER?

Automation index

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

A syllabus and a test come earlier. Supervising a thesis, examining, and holding a room do not.

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

Task comparison

University professor

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
Prep materials, tests and rubrics.
Estimate

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

20%45%+9
Papers, grants and reviews.
Estimate

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

16%38%+6.1
Teach and tutor.
Estimate

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

20%12%+2.4
Supervise theses and examine.
Estimate

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

16%15%+2.4
Department meetings and academic admin.
Estimate

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

14%14%+2
Actually research and choose the problem.
Estimate

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

14%16%+2.2
Total100%24%

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

Skills and activities

  • teach class
  • mark students
  • lesson plans
  • teach
  • Prep materials, tests and rubrics
  • Papers, grants and reviews
  • Teach and tutor
  • Supervise theses and examine
  • Department meetings and academic admin
  • Actually research and choose the problem

Sources for this job· O*NET 25-1081.00· ESCO/ISCO 2310

Colourist

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
Look, stills and the reference.
Estimate

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

18%48%+8.6
Session, nodes and the hard shot.
Estimate

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

16%40%+6.4
Skin, sky and not eating the set.
Estimate

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

16%22%+3.5
Delivery, HDR and the one that misses in the theatre.
Estimate

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

16%28%+4.5
The director, the ego and not loading the orange.
Estimate

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

18%14%+2.5
Skin holds, and the look does not lie.
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

  • looks
  • nodes
  • skin
  • HDR
  • stills
  • the colour bay
  • hard shots
  • look references

Sources for this job· O*NET 27-4032.00· ESCO/ISCO 3521

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