Compare roles · AI exposure side by side
Chemists
Put up to three roles next to each other: the exposure figure, the inputs behind it, the window, what is driving change, and where the work moves. Every figure comes from the same method, so the gap between two scores means something.
Exposure
Window · adoption
until most of the change has landed
Medium-High adoption
In one line
AI is accelerating literature search, retrosynthesis, property prediction and data analysis, while bench work, interpretation and safety stay with the chemist.
Inputs behind the score · scaled 0–100
Task applicability
48Observed usage
35Official exposure tier
100Labour-market trajectory
n/aPublished adoption rating
55What is driving it
- Machine-learning property prediction
- AI retrosynthesis
- Generative drafting and analysis
- Laboratory automation
- Electronic lab notebooks and structured data
- Pharma R&D economics
Skills worth building
- Computational chemistry literacy
- Scientific programming
- Experimental design and method development
- Spectral and data interpretation
- Laboratory automation operation
- Safety and regulatory knowledge
Tools in the work now
Where the work moves
Full report
Scores are the CareerGuard Exposure Index v2: the same five inputs and weights for every role, so a gap of ten points means the same thing wherever it appears. How scores are built.