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AI exposure report
Will AI replace Microbiologists?
Some of your tasks will be automated. People who use AI will have the edge.
Task exposure to today's AI
Moderate exposure
This is the occupation's typical task mix. Your own score can be up to 30 points higher or lower depending on how you work: routine share, people contact, judgment and how much you already use AI.
Get your personal scoreWill AI replace Microbiologists?
Not entirely. Today's AI tools can take on about 33% of the typical work in this occupation, mostly: prepare technical reports and recommendations, based upon research outcomes. The parts that stay human include: Isolate and maintain cultures of bacteria or other microorganisms in prescribed or developed media, controlling moisture, aeration, temperature, and nutrition.; Use a variety of specialized equipment, such as electron microscopes, gas and high-pressure liquid chromatographs, electrophoresis units, thermocyclers, fluorescence-activated cell sorters, and phosphorimagers.; Supervise biological technologists and technicians and other scientists..
People who learn to use AI for the automatable parts keep the edge. The 3-phase plan below shows where to start.
Which tasks AI can take on
The largest tasks in this occupation, their share of the working week, and how much of each today's AI tools can do.
+ 8 more tasks (40% of the week) in the full test.
Your human edge
- Isolate and maintain cultures of bacteria or other microorganisms in prescribed or developed media, controlling moisture, aeration, temperature, and nutrition.
- Use a variety of specialized equipment, such as electron microscopes, gas and high-pressure liquid chromatographs, electrophoresis units, thermocyclers, fluorescence-activated cell sorters, and phosphorimagers.
- Supervise biological technologists and technicians and other scientists.
AI tools to try
ChatGPT / Claude for literature and writingAI research tools (e.g. Elicit, Consensus, Semantic Scholar)Copilot for data analysis code (Python, R)Related roles
A 3-phase AI learning plan
Phase 1
Faster literature and writing
- Literature search and summaries with AI, always checked against the papers.
- Drafts of methods, reports and grant text.
- Reference management and formatting.
Project
Use AI to screen 40 papers on one pathogen's culture conditions into a referenced 2-page summary, verify every claim against the PDFs, and log hours saved versus your usual review.Phase 2
AI for data analysis
- Analysis code in Python or R written with AI help.
- Visualisation and statistics explained step by step.
- Reproducibility: version code and prompts.
Project
Rebuild one past growth-curve or plate-count dataset as an AI-written R or Python script with stats and figures, version it in Git with your prompts, and reproduce the results in under an hour.Phase 3
AI as a research method
- Classification, extraction or modelling with AI on your data.
- Validate against human labels or ground truth.
- Ethics, data protection and disclosure of AI use.
Project
Train or prompt an AI model to classify 200 colony or Gram-stain images from your own plates, score accuracy against your manual IDs, and write an AI-use and data-protection disclosure note.