Automation index
How much of a Drone pilot’s job can AI already do?
A flight plan comes earlier. Lifting the drone, not losing it, and bringing the shot home do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Drone pilot
23%
AI can already do 23% of this job.
#309 / 633
View rankingDrone pilot
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 |
|---|---|---|---|
Flight plan, NOTAM, ENAIRE and the permit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Fly, frame, not lose the drone and land.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Deliver stills, video and a basic grade.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Maintenance, batteries and the part that fails.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Client, briefing and what you can actually fly.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
AESA rules and liability for the flight.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 23% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- fly drones
- pilot UAS
- flight planning
- aerial shots
- NOTAM
- AESA permits
- not lose the drone
- grade aerial video
Sources for this job· O*NET 53-2012.00· ESCO/ISCO 3153
IS WORK OVER?
Prompt engineer
34%
#21 / 633
View rankingPrompt 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 prompts, tools and chains.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Evals, datasets and regressions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Integrate with product and safety limits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to the business about a good output.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Watch hallucinations, bias and cost.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 20% | +2.8 |
Decide what the model gets, and what it does not.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 16% | +1.9 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design prompts, tools and chains
- Evals, datasets and regressions
- Integrate with product and safety limits
- Talk to the business about a good output
- Watch hallucinations, bias and cost
- prompt engineer
- ingeniero de prompts
- llm engineer
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512