IS WORK OVER?

Automation index

How much of a Airport ramp agent’s job can AI already do?

A load plan comes earlier. Pushing the aircraft, the bags and not getting the trim wrong do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Airport ramp agent

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
Load plan, LIR and hold allocation.
Estimate

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

16%40%+6.4
Load, unload, pushback and ramp assistance.
Estimate

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

22%8%+1.8
Bags, ULDs and special cargo.
Estimate

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

16%22%+3.5
Coordinate with crew, ops and fuel.
Estimate

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

16%28%+4.5
Times, delays and ramp safety.
Estimate

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

16%18%+2.9
Trim, papers and liability for the load.
Estimate

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

14%12%+1.7
Total100%21%

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

Skills and activities

  • load aircraft
  • do pushback
  • allocate holds
  • move bags
  • load planning
  • ramp assistance
  • handle ULDs
  • ramp safety

Sources for this job· O*NET 53-6051.00· ESCO/ISCO 9333

Agile 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.

TaskShareAIPoints
Boards, metrics and the cadence design.
Estimate

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

16%40%+6.4
The real retro and the elephant in the room.
Estimate

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

18%14%+2.5
Train, unblock and the manager who will not let go.
Estimate

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

16%32%+5.1
Scale, dependencies and fake agile.
Estimate

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

16%28%+4.5
Conflict, power and not selling extra frameworks.
Estimate

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

18%18%+3.2
That they stop faking it, and not inflating velocity.
Estimate

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

16%14%+2.2
Total100%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

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