IS WORK OVER?

Automation index

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

The route is already an app. Traffic, the 3 a.m. passenger, and knowing when not to stop stay yours.

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

Task comparison

Taxi 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
Navigate, take payment and log shifts.
Estimate

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

16%40%+6.4
Find the passenger and read the city.
Estimate

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

16%12%+1.9
Drive safely in all kinds of traffic.
Estimate

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

22%8%+1.8
Care, luggage and passenger languages.
Estimate

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

16%15%+2.4
Car maintenance and shifts.
Estimate

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

16%18%+2.9
Licences, radio and zone knowledge.
Estimate

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

14%22%+3.1
Total100%19%

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

Skills and activities

  • drive
  • route
  • load goods
  • Navigate, take payment and log shifts
  • Find the passenger and read the city
  • Drive safely in all kinds of traffic
  • Care, luggage and passenger languages
  • Car maintenance and shifts
  • Licences, radio and zone knowledge
  • taxista

Sources for this job· O*NET 53-3054.00· ESCO/ISCO 8322

Traffic engineer

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
Counts, the model and the microsim.
Estimate

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

18%48%+8.6
Junction, the timings and the pedestrian.
Estimate

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

16%40%+6.4
Works, the diversion and not choking the neighbourhood.
Estimate

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

16%22%+3.5
Report, the councillor and not painting the miracle lane.
Estimate

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

16%28%+4.5
The crash, the figure and not hiding it.
Estimate

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

18%14%+2.5
That the junction does not kill, and not painting extra.
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

  • microsims
  • counts
  • junction timings
  • pedestrians
  • diversions
  • councillors
  • crashes
  • lanes

Sources for this job· O*NET 17-2051.00· ESCO/ISCO 2142

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