Automation index
How much of a Firefighter’s job can AI already do?
A fire plan and a report write faster. Walking into a burning flat, cutting and carrying someone out do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Firefighter
12%
AI can already do 12% of this job.
#643 / 643
View rankingFirefighter
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, intervention plans and classroom training.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Prevention inspections and hydrant checks.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 22% | +3.1 |
Fighting urban or wildland fire.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 4% | +0.9 |
Rescue at height, crash or collapse.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 6% | +1.1 |
Emergency care at the scene.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 8% | +1.3 |
Kit maintenance and station watch.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 10% | +1.4 |
| Total | 100% | 12% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- put out fires
- rescue
- enter a fire
- Prevention inspections and hydrant checks
- Fighting urban or wildland fire
- Rescue at height, crash or collapse
- Emergency care at the scene
- Kit maintenance and station watch
- bombero
- firefighter
Sources for this job· O*NET 33-2011.00· ESCO/ISCO 5411
IS WORK OVER?
Agile coach
24%
#262 / 643
View rankingAgile coach
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 |
|---|---|---|---|
Boards, metrics and the cadence design.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The real retro and the elephant in the room.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Train, unblock and the manager who will not let go.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Scale, dependencies and fake agile.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Conflict, power and not selling extra frameworks.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they stop faking it, and not inflating velocity.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
- retros
- agile cadence
- unblock teams
- flow metrics
- fake agile
- agile training
- dependencies
- velocity
Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421