Automation index
How much of a Wildland firefighter’s job can AI already do?
A fire-front map comes earlier. Going onto the slope with the wind against you do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Wildland firefighter
18%
AI can already do 18% of this job.
#554 / 633
View rankingWildland firefighter
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 |
|---|---|---|---|
Logs, map and the day’s attack plan.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Line, hose-lay and the spot fire.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 6% | +1.4 |
Tools, pump and the water that does not arrive.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Night watch, lookout and the flare-up.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Coordinate aircraft and the command post.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 28% | +3.9 |
Get out whole and leave nobody behind.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 10% | +1.4 |
| Total | 100% | 18% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- fight wildfires
- cut line
- lay hose
- night watch
- portable pump
- air assets
- fire-front map
- spot fires
Sources for this job· O*NET 33-2022.00· ESCO/ISCO 5411
IS WORK OVER?
Mobile developer
28%
#92 / 633
View rankingMobile developer
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 |
|---|---|---|---|
Screens, API and offline state.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Store review, crashlytics and ANRs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Real device, the notch and fragmented Android.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
CI, tests and the week's release.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Product, the redesign and not breaking what people use.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not crash, and not ignoring the one-star.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
- build apps
- ship to stores
- crashlytics
- offline state
- ANRs
- mobile tests
- fragmented Android
- store review
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514