# Will AI replace data analysts? Updated October 2026 Data analysts score 65 of 100 for AI exposure. The largest share of their task time, 76%, is work AI speeds up while they stay in charge. AI can take over 19% outright, and 5% stays with people. - **19%** AI can do it - **76%** AI helps - **5%** Needs a person High exposure Higher than 96% of the 923 occupations we scored. ## Task by task We graded 17 tasks, listed here from most to least exposed. AI can do 3 of them today, speeds up 13 and leaves 1 to people. | Task | AI exposure | | --- | --- | | Generate standard or custom reports summarizing business, financial, or economic data for review by executives, managers, clients, and other stakeholders. LLMs and BI tools generate report drafts from data quickly. | 70% AI can do it | | Disseminate information regarding tools, reports, or metadata enhancements. Drafting release notes and announcements is routine writing. | 65% AI can do it | | Maintain library of model documents, templates, or other reusable knowledge assets. AI handles tagging, organizing, and retrieval of reusable templates. | 60% AI can do it | | Document specifications for business intelligence or information technology reports, dashboards, or other outputs. AI drafts specs quickly, but requirements gathering needs stakeholder input. | 55% AI helps | | Synthesize current business intelligence or trend data to support recommendations for action. AI summarizes trends well; recommendations need accountable human decisions. | 55% AI helps | [See what AI can take on across a data team](https://www.aigentcy.com/ai-for/data-and-analytics/) ## How data analysts compare All occupations (923) Computer and mathematical (36) **Data analysts score 65**, 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 $120,230 a year, May 2025 Projected change in jobs +34.6% from 2024 to 2034 ## Skills to build - Write SQL queries against data warehouses in AWS or Azure - Build Tableau dashboards for executive review meetings - Run pattern and trend analysis in Python or R - Gather stakeholder requirements before writing dashboard specifications - Check AI-drafted reports against source data in Microsoft Excel - Present trend-based recommendations in PowerPoint with clear decision logic ## Safer roles nearby 5 related occupations with lower scores. - [Systems analysts59 out of 100](https://www.aigentcy.com/ai-exposure/systems-analysts/) - [Digital marketers62 out of 100](https://www.aigentcy.com/ai-exposure/digital-marketers/) - [Marketing managers55 out of 100](https://www.aigentcy.com/ai-exposure/marketing-managers/) - [SEO specialists62 out of 100](https://www.aigentcy.com/ai-exposure/seo-specialists/) - [Financial risk specialists60 out of 100](https://www.aigentcy.com/ai-exposure/financial-risk-specialists/) ## Questions about data analysts and AI Will data analysts be replaced by AI? Partly. About 5 in 10 working hours go to tasks AI can already do, mostly drafting reports and disseminating findings. What stays with people is the stakeholder work of deciding which questions matter and standing behind the recommendations that come out of the numbers. Will AI take over data analytics? AI can already do 19% of the task time in data analytics and speeds up another 76%. People still do 5% of it. Which tasks is AI taking over for data analysts? AI is taking over report drafting and release notes first. Generating standard or custom reports scores 70 on exposure, and disseminating updates on tools and metadata scores 65, because LLMs and BI tools turn query results into draft summaries and announcements in seconds. Maintaining template libraries, at exposure 60, follows since tagging and retrieval are routine. Which data analyst tasks stay with people? Live conversations with customers, competitors, and suppliers score 22 on exposure, the lowest in this job. Trust built in person and insight picked up on a call come from people, so these conversations stay with analysts. Fully human tasks make up 5% of task weight, so most of the work will be shared with AI. How can data analysts stay valuable as AI changes the job? Check every AI-drafted report against source data in SQL before executives see it. Lead stakeholder requirement sessions, since AI drafts specifications quickly but needs your input on what the business actually asks for. Build Python or R pattern checks, and present trend recommendations in Tableau or PowerPoint with the decision logic spelled out. ## 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/) - [Management consultants55 out of 100](https://www.aigentcy.com/ai-exposure/management-consultants/) - [Data engineers60 out of 100](https://www.aigentcy.com/ai-exposure/data-engineers/) ## Next steps for data analysts - ### 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.