Compare roles · AI exposure side by side
Urban and Regional Planners
Put up to three roles next to each other: the exposure figure, the inputs behind it, the window, what is driving change, and where the work moves. Every figure comes from the same method, so the gap between two scores means something.
Urban and Regional Planners
Exposure
Window · adoption
2–6 yrs
until most of the change has landed
Medium adoption
In one line
AI drafts reports and code reviews, summarises consultations and runs scenario models, reshaping desk work while public process stays human.
Inputs behind the score · scaled 0–100
Task applicability
66Observed usage
13Official exposure tier
100Labour-market trajectory
n/aPublished adoption rating
40What is driving it
- AI drafting of reports and policy text
- Automated consultation analysis
- Rule-based application checking
- AI-enabled GIS and scenario modelling
- Highest official exposure tier
- Low observed usage and medium adoption
Skills worth building
- Public engagement and facilitation
- Negotiation and political judgement
- Scenario and spatial analysis
- Critical review of AI output
- Policy domain expertise
- Data literacy and GIS
Tools in the work now
Where the work moves
Full report
Scores are the CareerGuard Exposure Index v2: the same five inputs and weights for every role, so a gap of ten points means the same thing wherever it appears. How scores are built.