Somewhat Resilient
Last Update: 11/4/2026
AI Resilience Score for Math Science Occupations:
38.7%
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.
Low
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%).
High
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.
AI Resilience Report forMathematical Science Occupations, All Other
$81,490 median salary•200 annual openings•SOC Code: 15-2099.00
Mathematical Science Occupations, All Other are somewhat less resilient to AI impacts than most occupations, according to our analysis of 7 sources.
Mathematical science careers are labeled "Somewhat Resilient" because AI is genuinely changing the day-to-day work, automating routine tasks like data wrangling, coding, and report generation that used to take up a lot of a mathematician's time. The good news is that the deeper work, including scientific judgment, model validation, and building the math that makes AI itself function, is still very much a human job.
Learn more about how you can thrive in this position
This role is somewhat resilient
Mathematical science careers are labeled "Somewhat Resilient" because AI is genuinely changing the day-to-day work, automating routine tasks like data wrangling, coding, and report generation that used to take up a lot of a mathematician's time. The good news is that the deeper work, including scientific judgment, model validation, and building the math that makes AI itself function, is still very much a human job.
Read full analysisAnalysis of current AI resilience
Math Science Occupations
Updated quarterly
How can Math Science Occupations prepare for AI?
Latest AI news for Math Science Occupations
These articles highlight the evolving landscape for careers in "Mathematical Science Occupations." For instance, while data-analysis roles face automation risks, hands-on experimental positions remain secure, suggesting a need for adaptability. The rise of AI also emphasizes the value of engineers who can effectively manage AI tools, indicating that students should focus on developing complementary skills. Embracing AI resilience involves staying informed about industry shifts, which can enhance career prospects in this dynamic field.
The Impacts of the AI Jobs Boom on BIPOC STEM Professionals: September Race, Jobs and Economy Update
ncrc.org • 9/29/2026
The rise of artificial intelligence has brought fears of a potential collapse of the Science, Engineering, Mathematics and Technology (STEM)...
Too Old for Silicon Valley? Think Again. AI Is Changing the Math
www.kqed.org • 7/15/2026
Now that AI can do a lot of the work of junior programmers, Silicon Valley employers want engineers who can confidently direct it.
The Best and Worst Fields for Job Automation Risk: How Majors Like Design, Computer Science, and Psychology Compare
www.investopedia.com • 7/8/2026
Computer programmers and market analysts are the most exposed to AI replacement, while substance abuse and behavioral disorder counselors...
Anthropic just mapped out which jobs AI could potentially replace. A 'Great Recession for white-collar workers' is absolutely possible
fortune.com • 3/6/2026
The red jobs are what AI is doing now, Anthropic says. The blue ones are what it's coming for next.
AI is threatening science jobs. Which ones are most at risk?
www.nature.com • 2/20/2026
Data-analysis and modelling positions are already becoming obsolete, but hands-on experimentalists can breathe easy for now.
More Career Info
Career: Mathematical Science Occupations, All Other
They solve complex problems by using math to analyze data, create models, and find patterns in various fields like science, business, or technology.
Parent Careers
Employment & Wage Data
Median Wage
$81,490
Jobs (2025)
4,000
Growth (2025-35)
+7.1%
Annual Openings
200
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
Apply standardized mathematical formulas, principles, and methodology to the solution of technological problems involving engineering or physical science.
2
Modify standard formulas so that they conform to project needs and data processing methods.
3
Reduce raw data to meaningful terms, using the most practical and accurate combination and sequence of computational methods.
4
Translate data into numbers, equations, flow charts, graphs, or other forms.
5
Process data for analysis, using computers.
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.
