Science

Environmental Scientist

Based on 35 assessments

39% Moderate risk

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

Raw potential
59%
Realistic risk
39%
Research benchmark ?
73%

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

Distribution across 35 profiles. Middle half of Environmental Scientists score between 35% and 43%.

0% 50% 100%
p10 · 31%
46% · p90
On-screen work 51%

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

In-person + screen 14%

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

Computer + action 9%

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

Fully in-person 25%

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

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

Task Time Type Exposure
Collecting soil, water, or air samples from field sites using specialized equipment and following strict protocols to ensure sample integrity
38% AA 3%
Conducting environmental impact assessments (EIAs) for proposed construction projects, including site visits, data review, and compliance checks with environmental laws
deep expertise social element
19% AD 14%
Writing detailed reports summarizing findings, including data visualizations, interpretations, and recommendations for stakeholders or regulatory agencies
18% DD 51%
Analyzing laboratory test results (e.g., chemical concentrations, microbial counts, or pollutant levels) using software tools and comparing them against regulatory standards
17% DD 90%
Presenting findings or recommendations to clients, government officials, or community groups, often requiring tailored communication for non-technical audiences
deep expertise social element
2% DA 17%
Staying updated on new environmental regulations, scientific methods, or emerging contaminants through research, training, or professional networks
2% DD 47%
Designing and implementing remediation plans for contaminated sites, including selecting appropriate technologies and monitoring progress over time
deep expertise social element
1% AA 7%

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