Automation index
How much of a Archaeologist’s job can AI already do?
A report and a sheet come earlier. Digging and not breaking the context do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Archaeologist
22%
AI can already do 22% of this job.
#320 / 633
View rankingArchaeologist
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 |
|---|---|---|---|
Sheets, drawing and the intervention report.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Excavate, sieve and record units.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 12% | +2.4 |
Authorities, developer and site deadlines.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Lab, dating and publication.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Store, conservation and outreach.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not losing a context by going too fast.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Excavate, sieve and record units
- Authorities, developer and site deadlines
- Lab, dating and publication
- Store, conservation and outreach
- Not losing a context by going too fast
- arqueologo
- archaeologist
Sources for this job· O*NET 19-3091.00· ESCO/ISCO 2632
IS WORK OVER?
Last-mile manager
26%
#211 / 633
View rankingLast-mile 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 |
|---|---|---|---|
Zones, capacity and route cuts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
KPIs, first attempt and incidents.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The courier, the lobby and the one who will not open.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Peaks, rain and hiring too many or too few.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The angry customer and not dressing delivered.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Cover the peak, and not leaving the neighbourhood orphaned.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- delivery zones
- first attempt
- delivery KPIs
- last-mile peaks
- lobbies
- delivery incidents
- courier capacity
- cut routes
Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324