Mostly Resilient
Last Update: 8/30/2026
AI Resilience Score for Natural Sciences Managers:
63.5%
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.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
AI Resilience Report forNatural Sciences Managers
$167,220 median salary•9,200 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 taking responsibility for research direction, relies on deeply human skills that AI simply cannot replicate. While AI is taking over more routine tasks like budget checks, grant drafts, and even some experimental planning, it is acting as a powerful assistant rather than a replacement, freeing managers to focus on the work that truly requires human wisdom.
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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 taking responsibility for research direction, relies on deeply human skills that AI simply cannot replicate. While AI is taking over more routine tasks like budget checks, grant drafts, and even some experimental planning, it is acting as a powerful assistant rather than a replacement, freeing managers to focus on the work that truly requires human wisdom.
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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, but the augmentation is getting powerful fast. In May 2026, Nature reported that artificial intelligence is poised to take on a more-active role in the laboratory: two new systems use teams of AI agents to develop hypotheses, propose experiments and analyse data, directly touching the "plan or direct research" task that sits at the heart of this job. On the operations side, Ithaka S+R found that as generative AI transitions into an everyday technology, university research offices are exploring its potential to reduce administrative burden and increase operational efficiency, and vendors of enterprise research information management systems are building AI capabilities into their platforms — though the actual return on investment is still unclear.
Managers are already piloting AI for risk-based proposal and compliance reviews [1], budget checks, and grant-writing drafts. In the lab itself, self-driving laboratory platforms [2] that integrate automation, analytics, and AI orchestration are handling routine experimental cycles. Still, a companion Nature editorial argues human wisdom and judgment remain essential [3], and Lab Manager notes that AI adoption does not eliminate lab roles so much as redirect them — toward setting up and validating AI-assisted workflows, reviewing model outputs, and making the judgment calls that automation cannot.
Hiring, mentoring, and leadership tasks (which O*NET rates only 6–8% automatable) stay firmly human.
Sources
How fast is AI adoption growing for Natural Sciences Managers?
Adoption is accelerating but uneven. Money is a big driver: the White House rolled out AI funding and signaled a new era for US science, with grants specifically designed to accelerate research with AI, and McKinsey's 2026 State of AI [4] shows commercial AI tools are now widely available for budgeting, reporting, and proposal work. Slowing things down are trust, security, and workforce concerns — Ithaka S+R workshops surfaced data-security worries, skepticism that AI is reliable enough to meet legal and ethical compliance, tension between staff and leaders pushing AI, and concerns about broader labor-market impacts.
A Science perspective also warns that AI may raise the bar and thin the pipeline [5], meaning managers who develop strong evaluative and delegation skills will thrive, while entry-level routine work shrinks. The takeaway for young people: this career isn't disappearing — it's shifting toward people who can lead teams of humans and AI agents.
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 role a 63.5% AI Resilience Score, and we think that tracks with what's actually happening in research environments right now. AI is already handling real work: self-driving lab platforms are running routine experimental cycles [2], and research offices are piloting AI for grant drafts, compliance reviews, and budget checks [1]. That's meaningful augmentation, not a placeholder. The pace is picking up, too, as commercial AI tools for budgeting and reporting become widely available [4].
But the core of this job stays human. Hiring, mentoring, and leading teams are tasks AI simply cannot own. A companion editorial in Nature argues that human wisdom and judgment remain essential even as AI agents take on hypothesis generation and experimental planning [3]. The managers who will thrive are the ones who can evaluate AI outputs critically and make the calls that automation cannot.
The economic picture also holds up. Wages and adaptive capacity both score well in our model, and there are steady job openings projected through 2034. The honest warning is that AI may raise the bar for entry-level work [5], so building strong leadership and evaluative skills early matters more than ever.
Sources
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Latest AI news for Natural Sciences Managers
These articles highlight the transformative role of AI in the Natural Sciences Manager field. For instance, the MIT Sloan research shows that AI can lead to job growth, suggesting that Natural Sciences Managers can leverage AI to enhance research and operational efficiencies. Additionally, the Deloitte piece discusses AI’s benefits in the life sciences value chain, emphasizing that understanding AI applications can help managers drive innovation and improve product development. Embracing these insights can foster resilience and open new career opportunities in a rapidly evolving job market.
Remote AI Jobs: Navigating Work-from-Home Careers in Artificial Intelligence
www.coursera.org • 6/29/2026
Learn about remote careers you can explore if you're interested in working with artificial intelligence.
AI in Pharma and Life Sciences
www.deloitte.com • 4/14/2026
From molecule to market, there are significant benefits to applying artificial intelligence at every stage of the life sciences value chain.
HHS Releases Strategy Positioning Artificial Intelligence as the Core of Health Innovation
www.hklaw.com • 12/10/2025
The U.S. Department of Health and Human Services (HHS or Department) on Dec. 4, 2025, released its 21-page artificial intelligence (AI)...
How artificial intelligence impacts the US labor market
mitsloan.mit.edu • 10/9/2025
New research from MIT Sloan shows that companies can see substantial gains by putting AI to work — with that growth translating into jobs.
The Role of AI in Developing Resilient Supply Chains | GJIA
gjia.georgetown.edu • 2/5/2024
Companies are using AI to manage supply chains, will it enhance supply chain resilience and how will it impact employment?
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 (2025)
112,200
Growth (2025-35)
+8.2%
Annual Openings
9,200
Education
Bachelor's degree
Experience
5 years or more
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Hire, supervise, or evaluate engineers, technicians, researchers, or other staff.
2
Plan or direct research, development, or production activities.
3
Provide for stewardship of plant or animal resources or habitats, studying land use, monitoring animal populations, or providing shelter, resources, or medical treatment for animals.
4
Confer with scientists, engineers, regulators, or others to plan or review projects or to provide technical assistance.
5
Recruit personnel or oversee the development or maintenance of staff competence.
6
Determine scientific or technical goals within broad outlines provided by top management and make detailed plans to accomplish these goals.
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.
