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AI exposure report
Will AI replace Clinical and Counseling Psychologists?
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 Clinical and Counseling Psychologists?
Not entirely. Today's AI tools can take on about 37% of the typical work in this occupation, mostly: write reports on clients and maintain required paperwork. The parts that stay human include: Counsel individuals, groups, or families to help them understand problems, deal with crisis situations, define goals, and develop realistic action plans.; Interact with clients to assist them in gaining insight, defining goals, and planning action to achieve effective personal, social, educational, or vocational development and adjustment.; Use a variety of treatment methods, such as psychotherapy, hypnosis, behavior modification, stress reduction therapy, psychodrama, or play therapy..
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.
+ 24 more tasks (39% of the week) in the full test.
Your human edge
- Counsel individuals, groups, or families to help them understand problems, deal with crisis situations, define goals, and develop realistic action plans.
- Interact with clients to assist them in gaining insight, defining goals, and planning action to achieve effective personal, social, educational, or vocational development and adjustment.
- Use a variety of treatment methods, such as psychotherapy, hypnosis, behavior modification, stress reduction therapy, psychodrama, or play therapy.
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 evidence summary on one treatment method you use, verifying every claim against the source papers and logging 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
Build an R or Python script with AI help to analyse and visualise de-identified outcome scores (e.g. PHQ-9) from 30 past cases, versioning code and prompts in a repo.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
Use a locally run AI model to auto-code themes in 50 de-identified session summaries, compare against your own manual labels, and report agreement plus an AI-use disclosure note.