Mostly Resilient
Last Update: 7/31/2026
AI Resilience Score for Natural Sciences Managers:
62.9%
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.
Med
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.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
AI Resilience Report forNatural Sciences Managers
$167,220 median salary•8,500 annual openings•SOC Code: 11-9121.00
Natural Sciences Managers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 7 sources.
Natural Sciences Managers are labeled "Mostly Resilient" because the heart of this job, leading teams, mentoring scientists, making judgment calls, and building relationships with funders and colleagues, is work that AI simply cannot replicate. AI tools are genuinely changing parts of the role, especially writing grant proposals and summarizing research literature, but these changes are more about getting a boost in productivity than losing the job altogether.
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Natural Sciences Managers are labeled "Mostly Resilient" because the heart of this job, leading teams, mentoring scientists, making judgment calls, and building relationships with funders and colleagues, is work that AI simply cannot replicate. AI tools are genuinely changing parts of the role, especially writing grant proposals and summarizing research literature, but these changes are more about getting a boost in productivity than losing the job altogether.
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Natural Sciences Managers
Updated Quarterly
How is AI changing Natural Sciences Managers jobs?
Right now, AI is mostly augmenting Natural Sciences Managers rather than replacing them — and the evidence is pretty encouraging. The biggest changes are showing up in the writing-heavy parts of the job, like preparing project proposals and reports. A new study reported in Nature found that grant proposals drafted with help from AI chatbots are more likely to win NIH funding, though they also tend to look more similar to previously funded projects [1].
Scientists themselves have rapidly adopted these tools: the number of natural-sciences publications mentioning AI has grown almost 30-fold since the early 2020s [1], and AI agents are now used to summarize literature, draft sections of reports, and help plan experiments. Yet that same state-of-the-industry report shows human scientists still beat the best AI agents on complex research tasks [1], and Stanford's 2026 AI Index notes that while AI is great at spotting gaps in papers, judgment calls still need humans [2]. Hiring scientists, mentoring teams, and presenting at conferences — the people-focused core of the manager role — remain firmly human.
Sources
How fast is AI adoption growing for Natural Sciences Managers?
Adoption in research labs is moving fast because tools like ChatGPT, Claude, and specialized "AI scientist" agents are cheap and widely available, and because R&D is one of the highest-value areas for agentic AI. Deloitte's 2026 State of AI in the Enterprise report [3] lists R&D among the functions with the highest potential for autonomous agents, with two-thirds of organizations already reporting productivity gains from AI. But several brakes will slow full automation in this career.
The U.S. Bureau of Labor Statistics still projects growth for Natural Sciences Managers, noting AI is more likely to change tasks than eliminate the occupation [4]. Funders are also raising fairness and integrity concerns about AI-written proposals, with Nature commentators warning that agentic AI could overwhelm grant-review systems unless funders adapt [1]. MIT Sloan experts add that 2026 is the year companies are shifting from experimenting with AI agents to finding solutions that actually create value at scale [5] — meaning leadership, judgment, and ethical oversight (your strengths as a future scientist-manager) are exactly what employers will pay for.
Sources
Will AI replace Natural Sciences Managers?
No. We don't think AI will replace Natural Sciences Managers, though we do expect the job to change.
Our scorecard gives this career a 62.9% AI Resilience Score, which puts it in a stronger position than most occupations. That tracks with what the evidence actually shows. Right now, AI is mostly a productivity tool for these managers, not a replacement. It helps with writing grant proposals and summarizing research literature, and AI-assisted proposals are already winning more NIH funding [1]. But the job is far more than paperwork.
The parts that stay human are also the parts that matter most: hiring and mentoring scientists, making judgment calls on complex research problems, and leading teams through uncertainty. Human scientists still outperform the best AI agents on complex research tasks [1], and Stanford's AI Index confirms that judgment calls in research still need people [2]. Funders and institutions are also raising integrity concerns about over-reliance on AI-generated work, which means ethical oversight and leadership are becoming more valuable, not less.
The economic picture supports this too. Wages for this role remain strong, and the BLS projects that AI is more likely to shift tasks than eliminate the occupation entirely [4]. If you can lead people and navigate complexity, this career has real staying power.
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Latest AI news for Natural Sciences Managers
These articles highlight the increasing role of AI in life sciences, crucial for aspiring Natural Sciences Managers. At the Oracle Health Summit, AI solutions demonstrated efficiency in research and patient information management, showing how technology can streamline operations. Additionally, the BLS case studies reveal AI's growing impact on job roles, emphasizing the need for adaptability. Understanding these trends equips future managers to leverage AI effectively, ensuring they remain resilient and proactive in a rapidly evolving field.
Life sciences and healthcare need to better integrate AI
www.fastcompany.com • 2/11/2026
Generative and agentic artificial intelligence may be positioned to reshape the life sciences and healthcare (LSHC) landscape in 2026 and...
The Role of AI in Life Sciences
www.salesforce.com • 1/17/2026
Scientific discovery has always been a balance between creative thinking and logical proof. Now, artificial intelligence (AI) is helping researchers unlock...
AI in action at Oracle Health & Life Sciences Summit
blogs.oracle.com • 9/24/2025
See how Oracle Health's latest AI solutions boost efficiency, clarify patient info, and support research—highlights from the Health & Life...
59 AI Job Statistics: Future of U.S. Jobs
www.nu.edu • 5/30/2025
Discover how artificial intelligence is transforming the U.S. job market with 59 key AI job statistics covering automation risks and more.
Incorporating AI impacts in BLS employment projections: occupational case studies
www.bls.gov • 2/10/2025
In the last few years, artificial intelligence (AI) has advanced rapidly, finding growing applications across industries and occupations.
More Career Info
Career: Natural Sciences Managers
They lead and coordinate the work of scientists by planning projects, organizing research, and making sure everything runs smoothly and on time.
Parent Careers
Employment & Wage Data
Median Wage
$167,220
Jobs (2024)
104,300
Growth (2024-34)
+3.7%
Annual Openings
8,500
Education
Bachelor's degree
Experience
5 years or more
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Determine scientific or technical goals within broad outlines provided by top management and make detailed plans to accomplish these goals.
2
Plan or direct research, development, or production activities.
3
Advise or assist in obtaining patents or meeting other legal requirements.
4
Confer with scientists, engineers, regulators, or others to plan or review projects or to provide technical assistance.
5
Prepare and administer budgets, approve and review expenditures, and prepare financial reports.
6
Develop or implement policies, standards, or procedures for the architectural, scientific, or technical work performed to ensure regulatory compliance or operations enhancement.
7
Develop client relationships and communicate with clients to explain proposals, present research findings, establish specifications, or discuss project status.
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.
