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?
University professor
24%
AI can already do 24% of this job.
#284 / 653
View rankingUniversity 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.
| Task | Share | AI | Points |
|---|---|---|---|
Prep materials, tests and rubrics.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 45% | +9 |
Papers, grants and reviews.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 38% | +6.1 |
Teach and tutor.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 12% | +2.4 |
Supervise theses and examine.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 15% | +2.4 |
Department meetings and academic admin.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
Actually research and choose the problem.EstimateNo 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
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
IS WORK OVER?
Histology technician
19%
#554 / 653
View rankingHistology technician
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.
| Task | Share | AI | Points |
|---|---|---|---|
Intake, the pot and not mixing cases.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Process, embed and the block.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Cut, the knife and the one that falls apart.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Stain, the control and the one that will not take.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The pathologist, the rush and not sending a bad cut.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Not losing the diagnosis on the knife.EstimateNo 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
Skills and activities
- paraffin blocks
- histology cutting
- stains
- tissue processor
- not mix cases
- microtome knife
- stain controls
- embedding
Sources for this job· O*NET 29-2012.00· ESCO/ISCO 3212