Mostly Resilient
Last Update: 8/30/2026
AI Resilience Score for Environmental Scientists:
59.2%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
This result is backed by strong agreement across multiple data sources.
Contributing sources
AI Resilience Report forEnvironmental Scientists and Specialists, Including Health
$82,220 median salary•7,300 annual openings•SOC Code: 19-2041.00
Environmental Scientists and Specialists, Including Health are somewhat more resilient to AI impacts than most occupations, according to our analysis of 8 sources.
Environmental scientists earn the "Mostly Resilient" label because while AI is taking over some of the more repetitive, data-heavy tasks (like manually sorting through sensor readings or running basic field survey analyses), the heart of the job still depends on skills that AI cannot replicate. Fieldwork, stakeholder engagement, policy development, and on-the-ground judgment in unpredictable environments all require a human presence and human reasoning that no algorithm can fully replace.
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Environmental scientists earn the "Mostly Resilient" label because while AI is taking over some of the more repetitive, data-heavy tasks (like manually sorting through sensor readings or running basic field survey analyses), the heart of the job still depends on skills that AI cannot replicate. Fieldwork, stakeholder engagement, policy development, and on-the-ground judgment in unpredictable environments all require a human presence and human reasoning that no algorithm can fully replace.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreAnalysis of Current AI Resilience
Environmental Scientists
Updated Quarterly
How is AI changing Environmental Scientists jobs?
Right now, AI is mostly augmenting the work of environmental scientists — helping them do their jobs faster — rather than replacing them. A May 2026 industry review found that AI is proving "incremental and additive by enhancing discrete elements of workflows [1]" like modeling, RFP responses, and design iteration, and that AI-native competitors are not taking over big parts of the environmental consulting workflow. The most visible wins are in data-heavy tasks: Context Labs' OpenEPA platform [2] now lets users run plain-language queries across a decade of EPA greenhouse-gas reports, and at the NAEP 2025 conference, DOE and Pacific Northwest National Laboratory hosted a workshop on using AI to streamline NEPA reviews and federal permitting [3].
A 2026 careers analysis reports that "AI-driven data analysis now replaces many manual field survey tasks [4]" while stakeholder engagement, adaptive fieldwork, and policy development remain human strengths — good news if you like being outside and working with people.
Sources
How fast is AI adoption growing for Environmental Scientists?
Adoption is picking up but bumpy. The 2026 LightBox AI Benchmark Survey of environmental professionals [5] found practitioners are actively testing AI in due-diligence workflows but flagging worries about accuracy, liability, governance, and job impact. Regulatory and trust issues also slow things down: PEER criticized EPA's plan to use AI in Clean Water Act permitting as vague and lacking transparency [6], showing that legal and ethical acceptance is still catching up.
On the accelerator side, Research.com reports that over 70% of environmental science organizations plan to increase AI and automation use in the next five years [4], driven by cost savings and the huge volume of sensor, satellite, and monitoring data pouring in. For students, the honest takeaway is hopeful: pairing environmental knowledge with basic data and AI skills makes you more valuable, not less.
Sources
Will AI replace Environmental Scientists?
No. We don't think AI will replace Environmental Scientists and Specialists, Including Health, though we do expect the job to change.
Our scorecard gives this career a 59.2% AI Resilience Score, which puts it in somewhat better shape than most occupations. That tracks with what we see happening on the ground. Right now, AI is mostly speeding up data-heavy work: tools like Context Labs' OpenEPA platform let users run plain-language queries across years of EPA greenhouse-gas reports [2], and federal agencies are testing AI to streamline permitting reviews [3]. A 2026 industry review found AI is "incremental and additive," enhancing workflows rather than replacing the professionals running them [1].
The parts that stay human are exactly the parts that make this career meaningful: fieldwork, stakeholder engagement, policy development, and navigating regulatory complexity. Adoption is also uneven. Environmental professionals are testing AI tools but raising real concerns about accuracy, liability, and governance [5], and critics have already pushed back on vague AI proposals in Clean Water Act permitting [6]. Those friction points slow full automation considerably.
For students, the honest takeaway is this: pairing environmental knowledge with basic data and AI skills makes you more valuable, not less. The role is shifting, but it is not disappearing.
Sources
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Latest AI news for Environmental Scientists
These articles provide valuable insights for students pursuing careers as Environmental Scientists and Specialists, Including Health. They highlight that while AI poses some risks, such as in job roles being assessed for vulnerability, many positions in this field are resilient. For instance, one article notes that Environmental Scientists have a medium risk of AI replacement, emphasizing the importance of human oversight in AI reliability and data privacy. This suggests that students can focus on developing skills that complement AI, ensuring their roles evolve rather than disappear, fostering a hopeful outlook for their future careers.
Will AI Replace Environmental Science Jobs?
jobzonerisk.com • 9/20/2026
See which environmental science roles are most at risk from AI. Evidence-based scores and practical recommendations for every assessed role.
2027 AI, Automation, and the Future of Environmental ...
research.com • 9/20/2026
6 days ago — In 2027, environmental science professionals may face challenges such as ensuring AI systems are reliable and accurate, addressing data privacy ...
Use of AI in environmental work? : r/Environmental_Careers
www.reddit.com • 9/20/2026
I'm an environmental regulator who was just tasked to come up with ideas to increase staff time and resources through the use of AI. Read more
23 AI-Resilient Science Jobs Ranked by Resilience 2026
www.airesilience.org • 9/20/2026
23 careers in life, physical, and social science most resistant to AI disruption — psychologists, epidemiologists, and health & safety specialists.
Will AI Replace Environmental Scientists and Specialists ...
www.replacedbai.com • 9/20/2026
Including Health have a medium risk of AI replacement with a score of 40/100. AI is unlikely to fully replace Environmental Scientists and Specialists, ...
More Career Info
Career: Environmental Scientists and Specialists, Including Health
They study the environment to find ways to protect it and keep people healthy by solving problems like pollution and climate change.
Parent Careers
Employment & Wage Data
Median Wage
$82,220
Jobs (2025)
93,400
Growth (2025-35)
+6.1%
Annual Openings
7,300
Education
Bachelor's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Supervise or train students, environmental technologists, technicians, or other related staff.
2
Conduct environmental audits or inspections or investigations of violations.
3
Provide scientific or technical guidance, support, coordination, or oversight to governmental agencies, environmental programs, industry, or the public.
4
Design or direct studies to obtain technical environmental information about planned projects.
5
Investigate and report on accidents affecting the environment.
6
Evaluate violations or problems discovered during inspections to determine appropriate regulatory actions or to provide advice on the development and prosecution of regulatory cases.
7
Provide advice on proper standards and regulations or the development of policies, strategies, or codes of practice for environmental management.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
