Somewhat Resilient
Last Update: 6/19/2026
AI Resilience Score for Biologists:
40.9%
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%).
Med
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 forBiologists
$93,330 median salary•4,800 annual openings•SOC Code: 19-1029.04
Biologists are somewhat less resilient to AI impacts than most occupations, according to our analysis of 5 sources.
Biology is labeled "Somewhat Resilient" because AI is genuinely changing how a lot of the work gets done, especially the data-heavy parts like species identification, lab experiments, and ecosystem modeling, which means biologists who ignore these tools will find themselves falling behind. At the same time, AI still cannot replace the human judgment needed to design studies, interpret messy real-world data, mentor colleagues, or make decisions in the field, so those skills remain your strongest protection.
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Biology is labeled "Somewhat Resilient" because AI is genuinely changing how a lot of the work gets done, especially the data-heavy parts like species identification, lab experiments, and ecosystem modeling, which means biologists who ignore these tools will find themselves falling behind. At the same time, AI still cannot replace the human judgment needed to design studies, interpret messy real-world data, mentor colleagues, or make decisions in the field, so those skills remain your strongest protection.
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Biologists
Updated Quarterly
How is AI changing Biologists jobs?
Right now, AI is mostly augmenting biologists rather than replacing them — it's becoming a powerful helper for the slow, data-heavy parts of the job. In biology laboratories, AI-driven autonomous robots are arriving, but researchers insist that human skills remain essential, according to a debate published in Nature about "self-driving" robot labs [1]. On the computing side, the U.S. Department of Energy is building foundation AI models for biology [2] through the OPAL project at Berkeley Lab, which combines robotic systems, AI agents and models, and standardized data-sharing platforms to accelerate the biotechnology pipeline all the way from gene discovery to commercialized technology.
Field biologists are seeing big changes too: a technological and AI revolution is under way involving thermal cameras, soil microphones, drones, eDNA, acoustic recorders, and machine-learning algorithms — a drone can survey a clifftop seabird colony in minutes and AI can identify thousands of species in the soil in seconds, the Irish Times reports [3]. NOAA Fisheries [4] uses machine learning to match photos of endangered North Atlantic right whales — fewer than 380 remain — and to detect whale calls and count seals from imagery. A January 2026 paper in the AIBS journal BioScience [5] notes that user-friendly AI tools with powerful generative capabilities could democratize ecosystem modeling, enabling both experts and nonspecialists to build models, automating coding, data analysis, and report-writing — exactly the high-automation tasks listed for this career.
Sources
How fast is AI adoption growing for Biologists?
Adoption is moving fast in some corners of biology and slowly in others. Speed-ups come from huge economic payoffs: AI-controlled labs can quickly perform experiments that would otherwise take weeks, months, or even years, alleviating traditional bottlenecks in R&D, and species-ID models can cut survey times from days to seconds. But adoption is slowed by real concerns.
The same BioScience authors warn that widespread AI use raises concerns about data integrity, bias, interpretation reliability, and the potential erosion of human expertise, and they argue human engagement and control remain essential. Trust, regulation, and the need for fieldwork judgment also keep humans in the loop. The encouraging news for students: the tasks AI struggles with — human skills like representing your employer at conferences, mentoring technicians, designing studies, and interpreting messy ecological data — are exactly the lowest-automation tasks in this career.
If you're curious about biology, learning to team up with AI tools (coding, machine learning, data analysis) on top of strong field and lab skills is the smartest path forward.
Will AI replace Biologists?
Not entirely. We think AI will take over some tasks, but not the whole job.
Biology scores a 40.9% AI Resilience Score, which puts it in "somewhat resilient" territory. That's a real warning worth taking seriously. AI is already handling the slow, data-heavy parts of the work at speed: autonomous robot labs can run experiments in hours that once took months [2], drones survey wildlife colonies in minutes, and machine-learning models identify thousands of species from soil samples in seconds [3]. Tasks like coding, data analysis, and report-writing are being automated quickly.
What stays human is meaningful, though. Designing studies, interpreting messy field data, mentoring junior scientists, and representing your institution in the wider research community are exactly the tasks AI struggles with. Researchers also flag serious concerns about data integrity, bias, and interpretation reliability when AI runs unsupervised [5], which keeps humans firmly in the loop for now.
The job market picture is moderate, not booming, so students shouldn't expect a wide-open field. But biology is not going away. The smartest move for anyone entering this career is building strong field and lab skills alongside real fluency with AI tools. That combination is what employers will need most as the role keeps evolving.
Sources
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Latest AI news for Biologists
These articles highlight the evolving landscape for biologists in the age of AI. For instance, high-resolution microscopy is now being used to train AI models, enhancing data analysis in biological research. However, roles focused solely on data analysis may face obsolescence, while hands-on experimentalists remain secure for now. Additionally, the growing demand for AI-ready graduates in biotechnology presents exciting career opportunities. By embracing AI and machine learning, aspiring biologists can position themselves for success in a rapidly changing field, ensuring their resilience in future job markets.
B Tech Biotechnology with AI: Career, Salary and Future Jobs in 2026
shooliniuniversity.com • 5/20/2026
India's biotech sector needs AI-ready graduates. Discover B.Tech Biotechnology with AI — scope, salaries & admissions.
Biologists Employ AI to Analyze Hi-Res Microscopic Data
vcresearch.berkeley.edu • 5/20/2026
High-resolution microscopes are generating images of cells and embryos to train an biological AI models.
AI is threatening science jobs. Which ones are most at risk?
www.nature.com • 2/20/2026
Data-analysis and modelling positions are already becoming obsolete, but hands-on experimentalists can breathe easy for now.
Free AI ML in Biology Job Interview Kit – The Ultimate Job Preparation Guide for Students, Researchers & Life Science Professionals
www.biotecnika.org • 10/30/2025
To be part of the next generation of AI-ML Biologists, proper preparation and performing well in interviews are mandatory. This “AI & Machine Learning in...
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Key Roles in AI-Powered Biology Careers: Qualifications and Growth Opportunities · 01 Computational Biologist · 02 Bioinformatics Data Scientist.
More Career Info
Career: Biologists
They study living things, like plants and animals, to understand how they work, grow, and interact with their environment.
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Employment & Wage Data
Median Wage
$93,330
Jobs (2024)
63,700
Growth (2024-34)
+1.2%
Annual Openings
4,800
Education
Bachelor's degree
Experience
None
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
Supervise biological technicians and technologists and other scientists.
2
Study basic principles of plant and animal life, such as origin, relationship, development, anatomy, and function.
3
Represent employer in a technical capacity at conferences.
4
Research environmental effects of present and potential uses of land and water areas, determining methods of improving environmental conditions or such outputs as crop yields.
5
Prepare plans for management of renewable resources.
6
Identify, classify, and study structure, behavior, ecology, physiology, nutrition, culture, and distribution of plant and animal species.
7
Study and manage wild animal populations.
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.
