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

University tutor

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
Form, the file and the one who does not come.
Estimate

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

18%48%+8.6
Mark, the cut and the one who gives up.
Estimate

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

16%40%+6.4
Grant, the paper and not letting it lapse.
Estimate

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

16%22%+3.5
Health, the referral and not playing clinician.
Estimate

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

16%28%+4.5
The dean, the dropout figure and not dressing it.
Estimate

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

18%14%+2.5
That they ask for help, and not dropping out.
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

  • university tutoring
  • degree dropout
  • grants
  • files
  • health referral
  • the dean
  • grade cuts
  • tutoring forms

Sources for this job· O*NET 25-1199.00· ESCO/ISCO 2310

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