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Comparison · dataset August 2026

Environmental Scientist vs Policy Analyst: which is more exposed to AI?

Policy Analyst carries 14 points more AI exposure than Environmental Scientist.

Policy Analyst sits at 59% time-weighted AI exposure against 45% for Environmental Scientist, a 14-point gap driven by the 52% of policy analyst work time that current models can already substitute outright. Environmental Scientist holds a larger human-critical core — 46% of the role's time sits in work like "stakeholder and community engagement" that models score poorly on. Both roles sit inside Science & Research, so the exposure difference reflects task design rather than a change of field.

14PP GAP

Seven dimensions, side by side.

METRICENVIRONMENTAL SCIENTISTPOLICY ANALYSTDELTA
AI exposure45%59%14pp gap
Resilience score74/10056/10018pt gap
Substitutable work time42%52%Fully automatable today
Human-critical work time46%20%Models score poorly here
Median salary$76k$76kLevel
10-year growth6%5%Environmental Scientist
US workforce94k130kBLS OEWS
Task level

What actually creates the gap.

Policy Analysts spend 52% of their time-weighted week on tasks a current model can produce end-to-end, against 42% for Environmental Scientists. The single largest contributor is "summarize legislation and research", graded at 88% and worth 14% of the role's time. That one task accounts for more of the gap than any difference in seniority, tooling, or industry.

Environmental Scientist
MOST EXPOSED TASKS
  • Literature review and synthesis82% · 8% time
  • Analyse environmental data and samples78% · 18% time
  • Write environmental impact reports74% · 16% time
HUMAN-CRITICAL CORE
  • Stakeholder and community engagement12% · 12% time
  • Field sampling and monitoring14% · 20% time
  • Regulatory testimony and consultation18% · 14% time
Policy Analyst
MOST EXPOSED TASKS
  • Summarize legislation and research88% · 14% time
  • Draft policy briefs and memos86% · 18% time
  • Compile comparative policy scans82% · 12% time
  • Track legislative developments80% · 8% time
HUMAN-CRITICAL CORE
  • Testify and defend recommendations12% · 2% time
  • Negotiate stakeholder positions14% · 4% time
  • Brief decision-makers in person16% · 6% time
What transfers

Both roles lean on cognitive, judgement, procedural — that is the part of your experience that travels intact. The real divide is manual: Environmental Scientists score 64 there against 2 for Policy Analysts, a 62-point spread. That is the gap you would actually have to close.

DIMENSIONENVIRONMENTAL SCIENTISTPOLICY ANALYST
Manual642
Switching between them
ModerateDIFFICULTY

Policy Analyst appears in our dataset as a mapped adjacent career for Environmental Scientists: the move raises exposure by 14 points, landing at 59%. Switch difficulty reads moderate — capability profiles are 27 points apart on average and both sit in the same family.

Score your own exposure in 8 questions →

Common questions.

Is Environmental Scientist or Policy Analyst more at risk from AI?

Policy Analyst. It scores 59% time-weighted AI exposure against 45% for Environmental Scientist — a 14-point gap. 52% of policy analyst work time is already fully substitutable by current models, versus 42% for Environmental Scientists.

Which pays more, Environmental Scientist or Policy Analyst?

They are level. Both roles carry a median of $76k. Environmental Scientist ranges $52k–$116k; Policy Analyst ranges $52k–$115k.

Can a environmental scientist switch to being a policy analyst?

Policy Analyst appears in our dataset as a mapped adjacent career for Environmental Scientists: the move raises exposure by 14 points, landing at 59%. Switch difficulty reads moderate — capability profiles are 27 points apart on average and both sit in the same family.

Which role is growing faster, Environmental Scientist or Policy Analyst?

Environmental Scientist, at 6% projected ten-year growth versus 5% — a 1-point difference. Growth and AI exposure are separate signals: a role can grow in headcount while the content of the work is substantially rewritten.

Career families
Science & Research
Methodology
Scores are time-weighted across each role's canonical O*NET tasks, graded against current frontier-model capability. How we score.