Automation index
How much of a Property manager’s job can AI already do?
Minutes and a levy come earlier. A meeting that does not end in shouting does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Property manager
24%
AI can already do 24% of this job.
#255 / 633
View rankingProperty 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 |
|---|---|---|---|
Minutes, levies, accounts and contracts.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Meetings, neighbours and porters.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Vendors, works and incidents.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Rules, insurance and arrears.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Building visits and maintenance.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not leaving a building without heat in January.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Minutes, levies, accounts and contracts
- Meetings, neighbours and porters
- Vendors, works and incidents
- Rules, insurance and arrears
- Building visits and maintenance
- administrador de fincas
- property manager
Sources for this job· O*NET 11-9141.00· ESCO/ISCO 3334
IS WORK OVER?
DJ
20%
#448 / 633
View rankingDJ
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 crates, edits and setlists.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 42% | +7.6 |
Promo, contracts and riders.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 30% | +4.8 |
Play live and read the floor.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 8% | +1.9 |
Room sound, desk and technical faults.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
Venue, talent buyer and crowd.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
Brand, touring and own catalogue.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 16% | +2.2 |
| Total | 100% | 20% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Prep crates, edits and setlists
- Promo, contracts and riders
- Play live and read the floor
- Room sound, desk and technical faults
- Venue, talent buyer and crowd
- Brand, touring and own catalogue
- pinchadiscos
- disc jockey
Sources for this job· O*NET 27-2042.00· ESCO/ISCO 2652