IS WORK OVER?

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

Drone 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.

TaskShareAIPoints
Flight plan, NOTAM, ENAIRE and the permit.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Fly, frame, not lose the drone and land.
Estimate

No public source provides a precise figure. This is our estimate.

22%8%+1.8
Deliver stills, video and a basic grade.
Estimate

No public source provides a precise figure. This is our estimate.

16%32%+5.1
Maintenance, batteries and the part that fails.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Client, briefing and what you can actually fly.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
AESA rules and liability for the flight.
Estimate

No public source provides a precise figure. This is our estimate.

14%14%+2
Total100%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

Home-automation installer

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.

TaskShareAIPoints
Diagram, buses and scene programming.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Wire, sensors and the switch that does not answer.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
Integrate lights, climate and the client app.
Estimate

No public source provides a precise figure. This is our estimate.

16%32%+5.1
Train, guest mode and the one who breaks it.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
The lived-in house and not leaving it dark.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
That it obeys, and not needing the cloud for a switch.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%23%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • program scenes
  • home buses
  • integrate climate
  • sensors
  • home app
  • switches
  • guest mode
  • wire KNX

Sources for this job· O*NET 47-2111.00· ESCO/ISCO 7411

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