# Will AI replace mathematicians? Updated October 2026 Mathematicians score 58 of 100 for AI exposure. The largest share of their task time, 91%, is work AI speeds up while they stay in charge. AI can take over the other 9% outright. - **9%** AI can do it - **91%** AI helps High exposure Higher than 88% of the 923 occupations we scored. ## Task by task We graded 12 tasks, listed here from most to least exposed. AI can do 1 of them today, speeds up 11 and leaves 0 to people. | Task | AI exposure | | --- | --- | | Perform computations and apply methods of numerical analysis to data. Code tools run numerical routines; humans check setup and results. | 65% AI can do it | | Address the relationships of quantities, magnitudes, and forms through the use of numbers and symbols. Symbolic manipulation and algebra are well served by AI tools. | 55% AI helps | | Develop computational methods for solving problems that occur in areas of science and engineering or that come from applications in business or industry. AI writes and debugs scientific code quickly; experts validate methods. | 55% AI helps | | Disseminate research by writing reports, publishing papers, or presenting at professional conferences. AI drafts text and slides; authors verify claims and submit. | 50% AI helps | | Develop mathematical or statistical models of phenomena to be used for analysis or for computational simulation. Domain judgement guides models; AI speeds coding and simulation runs. | 50% AI helps | [See what AI can take on across a data team](https://www.aigentcy.com/ai-for/data-and-analytics/) ## How mathematicians compare All occupations (923) Computer and mathematical (36) **Mathematicians score 58**, marked by the dark line. Each dot is a score, darker where more occupations share it. The short marks show the averages, 37 for all occupations and 60 for computer and mathematical. ## Pay and outlook in the US Median pay $126,710 a year, May 2025 People employed 2,030 in the US, May 2025 Projected change in jobs +0.6% from 2024 to 2034 ## Skills to build - Validate numerical routines against analytic test cases in MATLAB - Write original proofs in algebra, geometry, probability, and logic - Build and check statistical models in R - Track model code in version control with reviewed commits - Scope modeling work and record assumptions in Atlassian JIRA ## Safer roles nearby 5 related occupations with lower scores. - [Computer scientists51 out of 100](https://www.aigentcy.com/ai-exposure/computer-scientists/) - [Math professors52 out of 100](https://www.aigentcy.com/ai-exposure/math-professors/) - [Bioinformatics scientists57 out of 100](https://www.aigentcy.com/ai-exposure/bioinformatics-scientists/) - [Astronomers49 out of 100](https://www.aigentcy.com/ai-exposure/astronomers/) - [Physics professors44 out of 100](https://www.aigentcy.com/ai-exposure/physics-professors/) ## Questions about mathematicians and AI Will mathematicians be replaced by AI? Partly. About 4 in 10 working hours go to tasks AI can already do, mostly numerical computation and symbolic algebra. Choosing the model, checking the setup, and proving new results stay with people. Which tasks are AI taking over from mathematicians? Running numerical routines on data is the most exposed task, with an exposure score of 65, because code tools now execute the routines and return results. Symbolic manipulation and algebra follow at 55, since AI tools handle them well. Writing and debugging scientific code also shifts to AI, which drafts functions quickly while experts check the method. Which mathematician tasks stay with people? Developing new principles that advance mathematical science scores 22, because frontier theory creation needs human judgement. Original research in algebra, geometry, probability, and logic scores 30, with AI helping only with literature and checking. Mentoring colleagues on technique scores 20, since it is interpersonal. How can mathematicians stay valuable? Put your time into original proofs, model judgement, and checking results. Validate every numerical output from Python, R, or MATLAB against analytic test cases. Keep model code in version control and record assumptions in JIRA. Mentor junior analysts on choosing numerical methods. ## Related jobs - [Data scientists67 out of 100](https://www.aigentcy.com/ai-exposure/data-scientists/) - [Statisticians63 out of 100](https://www.aigentcy.com/ai-exposure/statisticians/) - [Operations research analysts58 out of 100](https://www.aigentcy.com/ai-exposure/operations-research-analysts/) - [Financial quantitative analysts58 out of 100](https://www.aigentcy.com/ai-exposure/financial-quantitative-analysts/) ## Next steps for mathematicians - ### Check your job Your job title is a rough guide. Your actual tasks decide your score. Paste your job description or CV and see which of your tasks AI can do. [Check your job](https://www.aigentcy.com/tools/ai-exposure-checker/) [Check your CV](https://www.aigentcy.com/tools/cv-checker/) ### Check which roles in your team AI can take on We map your team's tasks, show what AI can do today and build the automations that pay back first. [Book an AI audit](https://www.aigentcy.com/audit/) ## Related topics - [**Jobs AI can't replace**Cement masons score lowest, at 8.](https://www.aigentcy.com/ai-exposure/jobs-ai-cant-replace/) - [**Jobs most at risk from AI**Proofreaders score highest, at 76.](https://www.aigentcy.com/ai-exposure/jobs-most-exposed-to-ai/) - [**High-paying jobs with low AI exposure**Radiologists earn a median $420,860 and score 46.](https://www.aigentcy.com/ai-exposure/high-paying-jobs-low-ai-exposure/) - [**Entry-level jobs with low AI exposure**Cement masons need little prior training and score 8.](https://www.aigentcy.com/ai-exposure/entry-level-jobs-low-ai-exposure/) - [**Jobs AI speeds up the most**For natural sciences managers, AI speeds up 96% of task time.](https://www.aigentcy.com/ai-exposure/jobs-ai-speeds-up/) - [**AI and jobs in Malta**15 iGaming roles graded task by task.](https://www.aigentcy.com/ai-exposure/malta/) - [**Skills that keep work human**The skills to build in the jobs AI changes least.](https://www.aigentcy.com/ai-exposure/skills/) - [**Jobs A to Z**Every job we publish, by first letter.](https://www.aigentcy.com/ai-exposure/jobs/) - [**AI exposure by industry**Average scores for 22 occupation groups.](https://www.aigentcy.com/ai-exposure/industries/) - [**Write a CV screening software can read**How applicant tracking systems read a CV, and what to change.](https://www.aigentcy.com/ai-exposure/cv-screening-guide/) - [**AI for businesses**The tasks to automate first in each team and industry.](https://www.aigentcy.com/ai-for/) - [**How we score AI exposure**The grading, the weights and every source.](https://www.aigentcy.com/ai-exposure/methodology/) Occupation data from the O\*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) and modified by Aigentcy. O\*NET® is a trademark of USDOL/ETA. Wage, employment and projection data from the U.S. Bureau of Labor Statistics. EU occupation names from ESCO, European Commission. AI usage signals from the Anthropic Economic Index (CC BY) and Microsoft Research (CC BY 4.0). [Methodology and sources](https://www.aigentcy.com/ai-exposure/methodology/). Scores © Aigentcy. Quote them with a link to the page.