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?
Revenue manager
27%
#175 / 633
View rankingRevenue manager
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 |
|---|---|---|---|
Pickup, competitors and the rate.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Channels, overbooking and the one left on the street.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Events, the holiday and not sleeping on the price.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Report, management and the staff cut.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Sales, the group and not giving the room away.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
A high rate and a full house, not empty.EstimateNo 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
Skills and activities
- pickup
- rates
- channels
- overbooking
- holidays
- groups
- competitors
- rooms
Sources for this job· O*NET 11-9081.00· ESCO/ISCO 1411