Risk Distribution
Critical (75-100): 0
High (50-74): 0
Moderate (25-49): 10
Low (0-24): 0
Highest Risk
Most Resilient
All Roles
Science AI Risk Scores
- BiologistBiologists face moderate AI displacement risk as routine data analysis and literature review tasks become automated. However, experimental design, field research, and scientific interpretation remain strongly human-centered, providing significant protection against full automation.35/100Moderate
- ChemistChemists face moderate AI displacement risk as machine learning automates routine analysis and data interpretation tasks. However, experimental design, safety protocols, and complex problem-solving remain strongly human-dependent, creating significant career resilience.35/100Moderate
- Clinical Research CoordinatorClinical Research Coordinators face moderate AI displacement risk as automation targets data entry, regulatory documentation, and patient scheduling tasks. However, direct patient interaction, ethical oversight, and complex protocol interpretation remain strongly human-dependent, providing significant role protection.35/100Moderate
- Environmental ScientistEnvironmental Scientists face moderate AI displacement risk by 2026, with data analysis and modeling tasks becoming increasingly automated. However, field work, regulatory compliance, and stakeholder engagement remain strongly human-dependent, creating significant career resilience.35/100Moderate
- EpidemiologistEpidemiologists face moderate AI displacement risk as automation transforms data analysis and pattern recognition tasks. However, their expertise in study design, causal inference, and public health interpretation remains highly valuable and difficult to replicate.35/100Moderate
- GeologistGeologists face moderate AI displacement risk as machine learning transforms data analysis and pattern recognition in geological surveys. However, field work, regulatory compliance, and complex geological interpretation requiring years of experience remain highly defensible against automation.35/100Moderate
- Materials ScientistMaterials Scientists face moderate AI displacement risk as computational tools automate routine analysis and property prediction. However, experimental design, novel material discovery, and real-world application expertise remain highly defensible human domains.35/100Moderate
- MicrobiologistMicrobiologists face moderate AI displacement risk, with routine data analysis and identification tasks becoming increasingly automated. However, experimental design, complex interpretation, and regulatory compliance require deep scientific expertise that remains difficult to replicate.35/100Moderate
- NeuroscientistNeuroscientists face minimal displacement risk as their core work involves complex hypothesis generation, experimental design, and interpretation of brain function data that requires deep domain expertise. While AI will enhance data analysis capabilities, the creative and interpretive aspects of neuroscience research remain fundamentally human.25/100Moderate
- PhysicistPhysicists face low displacement risk as their work requires deep theoretical understanding, experimental design, and scientific judgment that AI cannot replicate. While AI will enhance computational capabilities and data analysis, the core intellectual work of hypothesis formation and scientific reasoning remains distinctly human.25/100Moderate
How exposed are you personally?
Industry scores are averages. Your actual risk depends on your tasks, tools, and experience. Get a personalized analysis in 2 minutes.
Start Free Analysis →Explore by Industry