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

Development cooperation 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
Agreements, alignment and the SDGs on the card.
Estimate

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

16%48%+7.7
Follow-up, missions and reports to the agency.
Estimate

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

16%36%+5.8
The local partner, the counterpart and the disagreement.
Estimate

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

18%16%+2.9
Budget, currency and what stays in management.
Estimate

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

16%28%+4.5
The context that shifts and reworking the approach.
Estimate

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

18%18%+3.2
Not imposing, and accounting on both sides.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • cooperation agreements
  • align with SDGs
  • agency reports
  • southern partners
  • monitoring missions
  • hard-currency budget
  • counterparts
  • accountability

Sources for this job· O*NET 19-3094.00· ESCO/ISCO 2635

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