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

Executive housekeeper

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
Roster, checklists and linen logs.
Estimate

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

18%40%+7.2
Rounds, standards and VIP rooms.
Estimate

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

18%14%+2.5
Room team, shifts and conflict.
Estimate

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

16%22%+3.5
Front desk, maintenance and complaints.
Estimate

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

16%18%+2.9
Inventory, minibar and lost-and-found.
Estimate

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

16%16%+2.6
Not handing a dirty room to a guest.
Estimate

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

16%14%+2.2
Total100%21%

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

Skills and activities

  • Roster, checklists and linen logs
  • Rounds, standards and VIP rooms
  • Room team, shifts and conflict
  • Front desk, maintenance and complaints
  • Inventory, minibar and lost-and-found
  • Not handing a dirty room to a guest
  • gobernanta
  • ama de llaves
  • executive housekeeper

Sources for this job· O*NET 37-1011.00· ESCO/ISCO 5151

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