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

Social security officer

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
File, contributions and the right.
Estimate

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

18%48%+8.6
Incapacity, the opinion and the one who cannot.
Estimate

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

16%40%+6.4
Benefit, the deadline and not leaving them unpaid.
Estimate

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

16%22%+3.5
Fraud, the visit and not hunting the poor.
Estimate

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

16%28%+4.5
The doctor, the discharge and not fighting for sport.
Estimate

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

18%14%+2.5
That the right one is paid, and not the one who should not.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • pensions
  • contributions
  • incapacity
  • benefits
  • opinions
  • fraud
  • social-security deadlines
  • medical discharges

Sources for this job· O*NET 13-1141.00· ESCO/ISCO 3353

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