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?

16%

#614 / 633

Flight attendant

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
Briefing, cabin inventory and flight reports. Estimate No public source provides a precise figure. This is our estimate.	16%	30%	+4.8
Cabin service, sales and requests. Estimate No public source provides a precise figure. This is our estimate.	18%	22%	+4
Safety, demo and emergency procedure. Estimate No public source provides a precise figure. This is our estimate.	20%	8%	+1.6
Conflict and disruptive-passenger handling. Estimate No public source provides a precise figure. This is our estimate.	16%	10%	+1.6
Care for minors, sick passengers and reduced mobility. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Coordination with cockpit and ground. Estimate No public source provides a precise figure. This is our estimate.	14%	18%	+2.5
Total	100%		16%

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