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

Tram driver

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
Checks, log and the cab.
Estimate

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

16%32%+5.1
Drive, stops and the pedestrian who steps out.
Estimate

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

24%8%+1.9
Badly parked car, calls and Control.
Estimate

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

16%22%+3.5
Timetable, reliefs and rush hour.
Estimate

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

16%28%+4.5
The tourist, the bike and not over-hooting.
Estimate

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

14%18%+2.5
Hit nobody, and make the terminus.
Estimate

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

14%12%+1.7
Total100%19%

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

Skills and activities

  • drive trams
  • urban stops
  • pedestrians
  • badly parked cars
  • Control
  • rush hour
  • cab checks
  • terminus

Sources for this job· O*NET 53-4041.00· ESCO/ISCO 8311

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