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.
#278 / 633
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?
Neurologist
24%
#274 / 633
View rankingNeurologist
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 |
|---|---|---|---|
Read MRIs, EEGs and a first differential.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Examination, cranial nerves and gait.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Long clinic, family and bad news.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Reports, prescriptions and consults.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
On-call, stroke and ward rounds.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Meeting, team and owning the diagnosis.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Read MRIs, EEGs and a first differential
- Examination, cranial nerves and gait
- Long clinic, family and bad news
- Reports, prescriptions and consults
- On-call, stroke and ward rounds
- Meeting, team and owning the diagnosis
- neurologo
- neurologist
Sources for this job· O*NET 29-1217.00· ESCO/ISCO 2212