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

Tennis 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
Pattern, rally and the plan.
Estimate

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

16%32%+5.1
Court, the one who hides and the one who overhits.
Estimate

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

22%8%+1.8
Competition, the needle and the one who throws the racquet.
Estimate

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

16%22%+3.5
Shoulder, load and not rushing the event.
Estimate

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

16%28%+4.5
Parents, the ranking and not burning the child.
Estimate

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

16%18%+2.9
On court, and the shoulder whole.
Estimate

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

14%12%+1.7
Total100%19%

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

Skills and activities

  • rally
  • stroke patterns
  • court
  • shoulder
  • ranking
  • racquet
  • parents
  • training load

Sources for this job· O*NET 27-2022.00· ESCO/ISCO 3422

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