IS WORK OVER?

Automation index

How much of a Ambulance driver’s job can AI already do?

A call and a route come earlier. Arriving in one piece and not making the patient worse do not.

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

Task comparison

Ambulance driver

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
Calls, routes and service logs.
Estimate

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

16%32%+5.1
Drive urgent, park and help the technician.
Estimate

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

22%10%+2.2
Stretcher, transfer and family.
Estimate

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

16%18%+2.9
Cleaning, kit and handovers.
Estimate

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

16%22%+3.5
Hospital, ICU and times.
Estimate

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

16%16%+2.6
Not arriving late to a heart attack.
Estimate

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

14%14%+2
Total100%18%

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

Skills and activities

  • drive
  • route
  • load goods
  • Calls, routes and service logs
  • Drive urgent, park and help the technician
  • Stretcher, transfer and family
  • Cleaning, kit and handovers
  • Hospital, ICU and times
  • Not arriving late to a heart attack
  • conductor de ambulancia

Sources for this job· O*NET 53-3011.00· ESCO/ISCO 8322

Station master

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
Graph, orders and the station log.
Estimate

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

16%40%+6.4
Platforms, the crossing and the late train.
Estimate

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

18%14%+2.5
Staff, shifts and the ticket-office gap.
Estimate

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

16%32%+5.1
Incident, passengers and the PA.
Estimate

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

16%22%+3.5
Works, closures and leaving nobody on the platform.
Estimate

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

18%18%+3.2
That they do not meet, and signing the graph.
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

  • train graph
  • orders
  • platforms
  • ticket office
  • PA
  • line crossings
  • station shifts
  • station logs

Sources for this job· O*NET 53-4031.00· ESCO/ISCO 4323

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