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

Actuary

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
Run models, reserves and sensitivities.
Estimate

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

24%55%+13.2
Draft technical reports and memos.
Estimate

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

18%48%+8.6
Choose assumptions, tables and criteria.
Estimate

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

16%22%+3.5
Explain to the board and the supervisor.
Estimate

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

16%15%+2.4
Validate data quality and bias.
Estimate

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

14%12%+1.7
Signed opinion and professional liability.
Estimate

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

12%18%+2.2
Total100%32%

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

Skills and activities

  • Run models, reserves and sensitivities
  • Draft technical reports and memos
  • Choose assumptions, tables and criteria
  • Explain to the board and the supervisor
  • Validate data quality and bias
  • Signed opinion and professional liability
  • actuario
  • actuary

Sources for this job· O*NET 15-2011.00· ESCO/ISCO 2120

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