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?
Data engineer
31%
#36 / 623
View rankingData engineer
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 |
|---|---|---|---|
Design pipelines, models and orchestration.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 50% | +12 |
Write SQL, Spark and data tests.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 45% | +8.1 |
Incidents, quality and lineage in production.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to analysts and negotiate data contracts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Cloud cost, permissions and PII.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Decide architecture and technical debt.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design pipelines, models and orchestration
- Write SQL, Spark and data tests
- Cloud cost, permissions and PII
- Decide architecture and technical debt
- ingeniero de datos
- data engineer
- etl
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511