Automation index
How much of a Geographer’s job can AI already do?
A map and a layer clip come earlier. Reading the territory and signing off the plan do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Geographer
29%
AI can already do 29% of this job.
#59 / 623
View rankingGeographer
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 |
|---|---|---|---|
GIS, layers, clips and working maps.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Impact reports, demography and land use.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Fieldwork, interviews and checking what the map says.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Planning, objections and work with the council.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Explain, map for non-experts and teaching.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The territorial opinion and owning the report.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- read territory
- run GIS
- impact reports
- land use
- fieldwork
- spatial planning
- working maps
- planning objections
Sources for this job· O*NET 19-3092.00· ESCO/ISCO 2632
IS WORK OVER?
Logistics analyst
28%
#79 / 623
View rankingLogistics analyst
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 |
|---|---|---|---|
Costs, OTIF and the dashboard.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Simulate network, warehouses and the what-if.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Ops, dirty data and going down to the dock.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Report, the board and the cut that hurts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The haulier, the contract and not breaking the service.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
A real saving, and not dressing OTIF.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- logistics costs
- OTIF
- simulate network
- what-if
- dirty data
- haulage contracts
- dashboards
- network cuts
Sources for this job· O*NET 13-1081.00· ESCO/ISCO 2421