Creative

Urban Planner

AI Risk Score 2026

0%

Your job is relatively safe — for now.

Oxford Martin School (2013)

3%

theoretical risk

Anthropic Index (2026)

9.6%

observed today

Combined score: Oxford Martin School (Frey & Osborne, 2013) weighted 40% + Anthropic Economic Index (2026) weighted 60%. Oxford score = theoretical automation potential. Anthropic score = observed AI usage across millions of professional Claude conversations.

Oxford source ↗ · Anthropic source ↗

Sector: Creative

What AI will do

  • Generating zoning analysis and land-use maps
  • Modelling traffic and population projections
  • Producing planning compliance reports

What keeps you human

  • Community engagement and participatory planning
  • Balancing competing political and social interests
  • Vision for how a city should feel to live in

Urban planning is fundamentally about human values, political negotiation, and community identity — it asks 'what kind of city do we want to live in?' AI can model and optimise, but the value judgments at the heart of planning are irreducibly political and human.

What to learn next →