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.

#286 / 663

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?

19%

#565 / 663

Biomedical equipment technician

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
Ticket, the inventory and the calibration. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
ICU, the ventilator and not switching off the one that is ventilating. Estimate No public source provides a precise figure. This is our estimate.	22%	8%	+1.8
Theatre, the stack and the one that fails at induction. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Part, the spare and the one that does not arrive. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The clinician, the rush and not leaving the kit half done. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
That it works at three, and signing the calibration. Estimate No public source provides a precise figure. This is our estimate.	14%	12%	+1.7
Total	100%		19%

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