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

Mobile 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
Screens, API and offline state.
Estimate

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

18%52%+9.4
Store review, crashlytics and ANRs.
Estimate

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

16%40%+6.4
Real device, the notch and fragmented Android.
Estimate

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

16%22%+3.5
CI, tests and the week's release.
Estimate

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

16%28%+4.5
Product, the redesign and not breaking what people use.
Estimate

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

18%14%+2.5
That it does not crash, and not ignoring the one-star.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • build apps
  • ship to stores
  • crashlytics
  • offline state
  • ANRs
  • mobile tests
  • fragmented Android
  • store review

Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514

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