Somewhat Resilient
Last Update: 8/30/2026
AI Resilience Score for Physical Scientists, Other:
42.1%
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%).
Low
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.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
AI Resilience Report forPhysical Scientists, All Other
$122,570 median salary•1,400 annual openings•SOC Code: 19-2099.00
Physical Scientists, All Other are somewhat less resilient to AI impacts than most occupations, according to our analysis of 5 sources.
Physical scientists are labeled "Somewhat Resilient" because AI is genuinely changing how a lot of the day-to-day work gets done, even if it is not replacing scientists entirely. Tools like AI-driven weather models and deep learning systems for mapping ocean currents are taking over tasks that used to require massive computing power and lots of human hours, which means the job is shifting rather than disappearing.
Learn more about how you can thrive in this position
This role is somewhat resilient
Physical scientists are labeled "Somewhat Resilient" because AI is genuinely changing how a lot of the day-to-day work gets done, even if it is not replacing scientists entirely. Tools like AI-driven weather models and deep learning systems for mapping ocean currents are taking over tasks that used to require massive computing power and lots of human hours, which means the job is shifting rather than disappearing.
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Analysis of Current AI Resilience
Physical Scientists, Other
Updated Quarterly

How is AI changing Physical Scientists, Other jobs?
If you love studying weather, oceans, or the physics of Earth, here's some good news: AI is mostly showing up as a powerful helper, not a replacement. In early 2026, NOAA deployed its first operational AI-driven global weather prediction models [1], including systems called AIGFS and a Hybrid Global Ensemble Forecast System that "combine AI and physics-based approaches" to deliver faster forecasts with fewer computing resources. Oceanographers are doing something similar — a team at Scripps built a tool called GOFLOW that uses deep learning on thermal satellite images to map ocean surface currents in unprecedented detail [2], without needing new hardware.
AI is even starting to model the whole planet: researchers recently coupled an AI atmosphere model with an ocean model that used 25 times less power while providing four times finer resolution [3] than the physics model it was emulating. Still, the human role is safe for now — a 2026 study reported that physics-based models remain more accurate than AI at predicting extreme weather [4], and scientists are needed to design, validate, and interpret every model.
Sources

How fast is AI adoption growing for Physical Scientists, Other?
Adoption is moving quickly because commercial AI weather tools are widely available and cheap to run, and because agencies like NOAA see clear savings in compute costs. But it's also slowing down for good reasons. The American Meteorological Society warns that as AI forecasts proliferate through public-private partnerships, ethical and moral dimensions need more attention [5], especially around international data sharing.
Journals are also setting guardrails: the American Physical Society's updated 2026 policy allows AI for tasks like data analysis and figure generation but prohibits sharing peer review materials with unrestricted AI tools [6], keeping human judgment central. Your curiosity and scientific reasoning are still the most valuable tools in the lab.
Sources

Will AI replace Physical Scientists, Other?
Not entirely. We think AI will take over some tasks, but not the whole job.
Physical scientists are already working alongside powerful AI tools, and that partnership is only deepening. NOAA has deployed AI-driven global weather prediction models that combine AI and physics-based approaches to deliver faster forecasts with fewer computing resources [1]. Oceanographers are using deep learning to map ocean currents in unprecedented detail without new hardware [2]. AI is genuinely useful here, and scientists who embrace it will do more, faster.
But the human role holds firm for real reasons. Physics-based models still outperform AI at predicting extreme weather [4], and someone has to design, validate, and interpret every model AI produces. The American Physical Society's 2026 policy allows AI for tasks like data analysis but keeps human judgment central to peer review [6]. That tells you something about where the profession draws the line.
The honest caveat is that this career scores a 42.1% AI Resilience Score, which puts it below average. Job market growth through 2034 is a real concern. The work itself will survive AI, but the number of positions may not grow much. If this field excites you, go in with eyes open, build strong data and modeling skills, and treat AI as a tool you direct rather than a force that directs you.
Sources

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Latest AI news for Physical Scientists, Other
These articles highlight the growing intersection of AI and physical sciences, showcasing exciting career opportunities. Positions like the "Physics AI Scientist III" at Applied Materials emphasize developing AI models that enhance scientific computing and simulations, which is crucial for modern physics applications. The discussion on whether AI will take over physicist jobs provides insight into job security and future trends. Engaging with these developments can empower students to adapt and thrive in a transforming landscape, fostering resilience in their careers as physical scientists.
Will AI take over physicist's jobs? If so what's the time frame ...
www.quora.com • 9/20/2026
Will AI take over physicist's jobs? If so what's the time frame for this?
Physics AI Scientist III at Applied Materials
www.linkedin.com • 9/20/2026
Develop Scientific AI models that bridge scientific computing, physics-based simulation and machine learning for physics and chemistry-based engineering ...
Research Scientist, Generative AI for Physical AI
jobs.nvidia.com • 9/20/2026
As a Research Scientist specializing in Generative AI for Physical AI, you'll be at the forefront of developing next-generation algorithms that bridge the gap ... Read more
AI Research Scientist, Physical AI
www.metacareers.com • 9/20/2026
Meta's Fundamental AI Research lab is seeking a Research Scientist to drive foundational research aimed at advancing physical AI capabilities. Read more
Member of Technical Staff, AI Research
jobs.ashbyhq.com • 9/20/2026
Build and train AI agents and training systems that learn to do physics. Focus on the core research questions: how agents acquire physical reasoning, how to ... Read more
More Career Info
Career: Physical Scientists, All Other
They study different physical aspects of the world, like weather or ocean currents, to understand how they work and solve related problems.
Parent Careers
Employment & Wage Data
Median Wage
$122,570
Jobs (2025)
26,600
Growth (2025-35)
+2.1%
Annual Openings
1,400
Education
Bachelor's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
