# Will natural sciences managers be replaced by AI? Updated October 2026 Natural sciences managers score 45 of 100 for AI exposure. The largest share of their task time, 96%, is work AI speeds up while they stay in charge. The other 4% stays with people. - **96%** AI helps - **4%** Needs a person Moderate exposure Higher than 63% of the 923 occupations we scored. ## Task by task We graded 16 tasks, listed here from most to least exposed. AI can't do any of them end to end yet. It speeds up 15 and leaves 1 to people. | Task | AI exposure | | --- | --- | | Prepare project proposals. AI drafts most proposal text; strategy and fit stay human. | 65% AI helps | | Review project activities and prepare and review research, testing, or operational reports. AI drafts reports and summarises results; manager reviews findings. | 60% AI helps | | Develop or implement policies, standards, or procedures for the architectural, scientific, or technical work performed to ensure regulatory compliance or operations enhancement. AI can draft SOPs and standards; compliance sign-off stays human. | 55% AI helps | | Prepare and administer budgets, approve and review expenditures, and prepare financial reports. Budget spreadsheets and reports are AI-assisted; approvals stay human. | 50% AI helps | | Design or coordinate successive phases of problem analysis, solution proposals, or testing. AI can outline test phases; lead scientist is responsible for design choices. | 45% AI helps | ## How natural sciences managers compare All occupations (923) Management (56) **Natural sciences managers score 45**, 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 46 for management. ## Pay and outlook in the US Median pay $167,220 a year, May 2025 People employed 108,690 in the US, May 2025 Projected change in jobs +8.2% from 2024 to 2034 ## Skills to build - Approve and review expenditures in SAP software - Sign off compliance standards and SOPs before release - Check AI-drafted reports against raw data in Excel - Set project milestones and critical path in Microsoft Project - Run hiring interviews and staff performance evaluations - Lead client briefings on research findings in PowerPoint ## Safer roles nearby 5 related occupations with lower scores. - [Biological technicians39 out of 100](https://www.aigentcy.com/ai-exposure/biological-technicians/) - [Water resource specialists44 out of 100](https://www.aigentcy.com/ai-exposure/water-resource-specialists/) - [Engineering managers43 out of 100](https://www.aigentcy.com/ai-exposure/engineering-managers/) - [Nanotechnology technicians38 out of 100](https://www.aigentcy.com/ai-exposure/nanotechnology-technicians/) - [Chemical technicians42 out of 100](https://www.aigentcy.com/ai-exposure/chemical-technicians/) ## Questions about natural sciences managers and AI Will AI replace natural sciences managers? Partly. About 4 in 10 working hours go to tasks AI can already do, mostly drafting project proposals and writing research reports. What stays with people is strategy, staff decisions and compliance sign-off. Which tasks will AI take from natural sciences managers? Proposal drafting, report writing and SOP drafting carry the highest exposure. AI writes most first-draft proposal text, drafts research reports and summarises results, and produces SOP and standards drafts because these tasks are text-heavy. Which tasks stay with natural sciences managers? Hiring and evaluating staff, client relationships and conferring with regulators stay human. Each scores 22 to 25 on exposure because the work depends on live judgement about people and trust, while AI only prepares agendas, notes and paperwork around it. How can natural sciences managers stay valuable? Keep the decisions that need human judgement, and check every draft AI produces. Approve budgets and expenditures in SAP software yourself, check AI-drafted reports against raw data in Excel before release, and sign off SOPs before they go live. Spend the time saved on hiring, client meetings and goal setting. ## Related jobs - [Project managers53 out of 100](https://www.aigentcy.com/ai-exposure/project-managers/) - [Data scientists67 out of 100](https://www.aigentcy.com/ai-exposure/data-scientists/) - [Chemists46 out of 100](https://www.aigentcy.com/ai-exposure/chemists/) - [Management consultants55 out of 100](https://www.aigentcy.com/ai-exposure/management-consultants/) ## Next steps for natural sciences managers - ### 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.