IS WORK OVER?

Automation index

How much of a Urban planner’s job can AI already do?

A plan and a written report come faster. Getting a neighbourhood to accept it, and a council to vote it, is still politics.

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

Task comparison

Urban planner

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
Draft reports, sheets and a first zoning plan.
Estimate

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

22%40%+8.8
Analyse population, mobility and land data.
Estimate

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

18%35%+6.3
Review objections and legal compatibility.
Estimate

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

16%22%+3.5
Tables with residents, councillors and city staff.
Estimate

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

16%15%+2.4
Field visits and reading the site.
Estimate

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

16%12%+1.9
Political negotiation and defending the plan.
Estimate

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

12%8%+1
Total100%24%

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

Skills and activities

  • Analyse population, mobility and land data
  • Review objections and legal compatibility
  • Field visits and reading the site
  • urbanista
  • urban planner
  • planeamiento
  • ordenacion del territorio

Sources for this job· O*NET 19-3051.00· ESCO/ISCO 2164

Front-end developer

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
Component, states and the design.
Estimate

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

18%48%+8.6
Accessible, the keyboard and the reader.
Estimate

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

16%40%+6.4
Contrast, the token and not leaving it dead.
Estimate

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

16%22%+3.5
Performance, the weight and not adding the extra library.
Estimate

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

16%28%+4.5
The designer, the pixel and not fighting for sport.
Estimate

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

18%14%+2.5
That it works from the keyboard, and not leaving the contrast.
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

  • components
  • accessibility
  • keyboard
  • contrast
  • tokens
  • front-end performance
  • libraries
  • write interface

Sources for this job· O*NET 15-1254.00· ESCO/ISCO 2513

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