Automation index
How much of a Red Cross volunteer’s job can AI already do?
A post protocol comes earlier. Getting to the one who drops without playing doctor do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Red Cross volunteer
19%
AI can already do 19% of this job.
#628 / 713
View rankingRed Cross volunteer
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 |
|---|---|---|---|
Post, the kit and the radio.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Street, the one who drops and first aid.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Shelter, the night and the one who will not.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Emergency, command and not playing clinician.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The professional, the line and not getting in the way.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Get there, and not playing doctor.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Red Cross posts
- first aid
- shelters
- radio
- volunteer kit
- not play doctor
- emergencies
- nights
Sources for this job· O*NET 21-1093.00· ESCO/ISCO 3412
IS WORK OVER?
Instructional designer
27%
#158 / 713
View rankingInstructional designer
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 |
|---|---|---|---|
Aim, the storyboard and the module.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Pilot, the learner and what is not understood.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Activity, the feedback and not putting a silly test.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
LMS, the figure and not inflating completion.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The client, the deadline and not cutting the practice.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That they learn, and not leaving the empty video.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- course storyboard
- modules
- learner pilot
- activities
- LMS
- completion
- feedback
- not a silly test
Sources for this job· O*NET 25-9031.00· ESCO/ISCO 2351