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

IS WORK OVER?

24%

AI can already do 24% of this job.

#324 / 763

University professor

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.

Task	Share	AI	Points
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
Total	100%		24%

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

IS WORK OVER?

27%

#185 / 763

QA automation engineer

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.

Task	Share	AI	Points
Test, the selector and the flake. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Pipeline, the green and the one that lies. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Bug, the repro and not closing it blind. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Data, the environment and not sharing prod. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The developer, the rush and not skipping the one that fails. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Catch the bug, and not painting a lying green. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		27%

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