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

IS WORK OVER?

24%

AI can already do 24% of this job.

#285 / 633

Urban planner

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.

Task	Share	AI	Points
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
Total	100%		24%

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

IS WORK OVER?

24%

#257 / 633

Agile coach

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.

Task	Share	AI	Points
Boards, metrics and the cadence design. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
The real retro and the elephant in the room. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Train, unblock and the manager who will not let go. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Scale, dependencies and fake agile. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Conflict, power and not selling extra frameworks. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
That they stop faking it, and not inflating velocity. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		24%

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