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Government

Environmental Planner

Based on 10 assessments · 1 from real users

29% Moderate risk

Average realistic automation risk across all Environmental Planner profiles in the dataset.

Raw potential
64%
Realistic risk
29%
Research benchmark ?
46%

Raw potential = I/O automation ceiling. Realistic risk = adjusted for informal knowledge and social context. Research benchmark: Eloundou et al. (2023)

Distribution across 10 profiles. Middle half of Environmental Planners score between 24% and 34%.

0% 50% 100%
p10 · 22%
36% · p90
On-screen work 49%

Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.

In-person + screen 35%

Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.

Computer + action 1%

Computer input, real-world output — needs someone to act on it, not just software.

Fully in-person 15%

No computer required. Furthest from automation — the strongest human advantage.

3 synthetic profiles for a Environmental Planner, ordered by automation exposure. Tab between them to see how task mix drives the score difference.

Task Time Type Exposure
Draft and revise environmental policy documents, planning guidelines, and technical standards for sustainable development and climate adaptation
deep expertise social element
29% DD 24%
Review and analyze environmental impact assessments (EIAs) for development projects, checking compliance with regulations and identifying potential ecological risks
deep expertise social element
21% DD 30%
Attend public consultation meetings and hearings to present planning recommendations, respond to community concerns, and gather stakeholder feedback on proposed projects
deep expertise
14% AA 0%
Coordinate with other municipal departments, environmental agencies, and consultants to integrate environmental considerations into land-use and infrastructure plans
some context needed
13% AD 23%
Create maps, visual presentations, and written reports translating complex environmental data into formats for decision-makers and the public
deep expertise social element
10% DD 24%
Research and compile data on local environmental conditions (air quality, water resources, biodiversity, soil contamination) using government databases, field surveys, and scientific literature
7% AD 33%
Monitor ongoing environmental conditions and project implementation compliance through site visits, data tracking, and enforcement of permit conditions
3% AD 34%

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