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AI exposure report
Will AI replace Chemists?
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 Chemists?
Not entirely. Today's AI tools can take on about 41% of the typical work in this occupation, mostly: write technical papers or reports or prepare standards and specifications for processes, facilities, products, or tests. The parts that stay human include: Analyze organic or inorganic compounds to determine chemical or physical properties, composition, structure, relationships, or reactions, using chromatography, spectroscopy, or spectrophotometry techniques.; Conduct quality control tests.; Develop, improve, or customize products, equipment, formulas, processes, or analytical methods..
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.
+ 6 more tasks (25% of the week) in the full test.
Your human edge
- Analyze organic or inorganic compounds to determine chemical or physical properties, composition, structure, relationships, or reactions, using chromatography, spectroscopy, or spectrophotometry techniques.
- Conduct quality control tests.
- Develop, improve, or customize products, equipment, formulas, processes, or analytical methods.
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 draft a 10-page literature review and method section on one compound class, verifying every claim and reference against the source papers, and log hours versus your last 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
Build an AI-written Python script that batch-processes a month of HPLC or spectra files into calibration curves, stats and plots, versioned in a repo with your prompts, and compare runtime to manual work.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 and validate an AI model that extracts formulation parameters or classifies spectra from 200 of your own in-house test records, scoring accuracy against human-labelled ground truth and documenting AI use.