# Will AI replace statisticians? Updated October 2026 Statisticians score 63 of 100 for AI exposure. The largest share of their task time, 74%, is work AI speeds up while they stay in charge. AI can take over 22% outright, and 4% stays with people. - **22%** AI can do it - **74%** AI helps - **4%** Needs a person High exposure Higher than 94% of the 923 occupations we scored. ## Task by task We graded 19 tasks, listed here from most to least exposed. AI can do 4 of them today, speeds up 14 and leaves 1 to people. | Task | AI exposure | | --- | --- | | Report results of statistical analyses, including information in the form of graphs, charts, and tables. Code tools generate charts, tables, and summary text quickly. | 72% AI can do it | | Process large amounts of data for statistical modeling and graphic analysis, using computers. Code tools process large datasets and generate graphics reliably. | 72% AI can do it | | Develop software applications or programming for statistical modeling and graphic analysis. AI writes most modeling code; statistician reviews and tests output. | 70% AI can do it | | Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data. Code tools handle cleaning, error checks, and routine weighting well. | 68% AI can do it | | Report results of statistical analyses in peer-reviewed papers and technical manuals. AI drafts manuscript sections; authors verify claims and remain accountable. | 58% AI helps | [See what AI can take on across a data team](https://www.aigentcy.com/ai-for/data-and-analytics/) ## How statisticians compare All occupations (923) Computer and mathematical (36) **Statisticians score 63**, 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 $105,650 a year, May 2025 People employed 29,030 in the US, May 2025 Projected change in jobs +11.0% from 2024 to 2034 ## Skills to build - Hold the ASA Accredited Professional Statistician credential - Validate AI-written modeling code in IBM SPSS Statistics - Design sampling plans and sample sizes for field studies - Supervise field staff who collect and tabulate data - Build and validate data pipelines in Apache Spark - Query and audit warehouse tables in Amazon Redshift ## Safer roles nearby 5 related occupations with lower scores. - [Biostatisticians60 out of 100](https://www.aigentcy.com/ai-exposure/biostatisticians/) - [Mathematicians58 out of 100](https://www.aigentcy.com/ai-exposure/mathematicians/) - [Bioinformatics scientists57 out of 100](https://www.aigentcy.com/ai-exposure/bioinformatics-scientists/) - [Financial quantitative analysts58 out of 100](https://www.aigentcy.com/ai-exposure/financial-quantitative-analysts/) - [Survey researchers59 out of 100](https://www.aigentcy.com/ai-exposure/survey-researchers/) ## Questions about statisticians and AI Will statisticians be replaced by AI? Partly. About 5 in 10 working hours go to tasks AI can already do, mostly reporting analysis results and processing large datasets. What stays with people is choosing the right method for the question and standing behind the conclusions. Which tasks of statisticians is AI taking over? Reporting results of statistical analyses is the most exposed task, with an exposure score of 72. Code tools generate charts, tables, and summary text in minutes. Processing large datasets for modeling and graphics also scores 72, since code tools handle it reliably. Data preparation scores 68, because cleaning, error checks, and routine weighting now run through the same tools. Which tasks of statisticians stay human? Supervising workers who collect and tabulate data stays with people, because it needs live judgment and someone accountable for field results. Choosing statistical methods also stays human, AI suggests candidates, but the statistician must confirm each one fits the research question. How can statisticians stay valuable? Keep the decisions that carry the most weight, sampling designs, method selection, and field constraints. Test every AI-written modeling script in IBM SPSS Statistics before results leave the team. Build skill in Apache Spark and Amazon Redshift so you can validate the data pipelines AI writes. ## Related jobs - [Data scientists67 out of 100](https://www.aigentcy.com/ai-exposure/data-scientists/) - [Operations research analysts58 out of 100](https://www.aigentcy.com/ai-exposure/operations-research-analysts/) - [Data analysts65 out of 100](https://www.aigentcy.com/ai-exposure/data-analysts/) - [Management consultants55 out of 100](https://www.aigentcy.com/ai-exposure/management-consultants/) ## Next steps for statisticians - ### 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.