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AI exposure report
Will AI replace Neuropsychologists?
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 Neuropsychologists?
Not entirely. Today's AI tools can take on about 38% of the typical work in this occupation, mostly: write or prepare detailed clinical neuropsychological reports, using data from psychological or neuropsychological tests, self-report measures, rating scales, direct observations, or interviews. The parts that stay human include: Conduct neuropsychological evaluations such as assessments of intelligence, academic ability, attention, concentration, sensorimotor function, language, learning, and memory.; Write or prepare detailed clinical neuropsychological reports, using data from psychological or neuropsychological tests, self-report measures, rating scales, direct observations, or interviews.; Consult with other professionals about patients' neurological conditions..
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 (25% of the week) in the full test.
Your human edge
- Conduct neuropsychological evaluations such as assessments of intelligence, academic ability, attention, concentration, sensorimotor function, language, learning, and memory.
- Write or prepare detailed clinical neuropsychological reports, using data from psychological or neuropsychological tests, self-report measures, rating scales, direct observations, or interviews.
- Consult with other professionals about patients' neurological conditions.
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 one de-identified neuropsych report template from test data, then edit for accuracy and time the hours saved versus your usual draft.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
With AI help, write R or Python code to score and visualize one battery's normative data, comparing output against your manual scoring for errors.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
Build an AI text-classification model to flag dementia-risk language in de-identified case notes, then validate its labels against your own clinical ratings.