Last Update: 2/17/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
What does this resilience result mean?
These roles are expected to remain steady over time, with AI supporting rather than replacing the core work.
AI Resilience Report for
They assess and understand how brain issues affect behavior and thinking, helping people improve their mental functions through tailored strategies and treatments.
This role is stable
The career of a clinical neuropsychologist is considered "Stable" because, while AI tools can assist with tasks like scoring tests and writing reports, the core work of understanding and caring for patients still requires a human touch. Interviews, therapy sessions, and making sense of a patient’s emotions and thoughts depend on empathy and judgment, which AI can't replicate.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is stable
The career of a clinical neuropsychologist is considered "Stable" because, while AI tools can assist with tasks like scoring tests and writing reports, the core work of understanding and caring for patients still requires a human touch. Interviews, therapy sessions, and making sense of a patient’s emotions and thoughts depend on empathy and judgment, which AI can't replicate.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
Anthropic's Economic Index
AI Resilience
Will Robots Take My Job
Automation Resilience
Medium Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Clinical Neuropsychologists
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
AI tools are starting to assist clinical neuropsychologists, but none of the core tasks are fully automated yet. For example, some medical clinics use AI apps that help take patient histories and triage symptoms, which can save time for doctors [1]. Similarly, many cognitive tests (like CANTAB or Cogstate) are now done on computers.
These digital tests record response times and score results instantly, which makes testing faster and more precise [2]. Large language models (like ChatGPT) are also being tried as helpers. Some mental health apps can draft or outline patient reports and summarize patient notes, which might lighten clinicians’ paperwork [3] [4].
Studies have even found AI summaries of medical papers can be about as readable as human-written ones [4]. However, experts warn that AI summaries can still make errors or miss nuances [4]. In short, today’s AI mostly augments neuropsychology work – it helps with test scoring, note-taking and literature search, but “real” patient care (like interviews and therapy) still needs the human touch.

AI in the real world
Adopting AI in neuropsychology is likely to be cautious and gradual. Healthcare systems generally move slower with new tools compared to other fields, because patient safety and evidence are involved [5]. Any AI system must meet strict rules (like FDA checks) before it’s used with patients [5] [2].
Trust is a big issue: clinicians and patients want to be sure AI is accurate and explains its suggestions. Because neuropsychology deals with people’s minds and emotions, many experts say AI should only assist, not replace, the clinician. Cost and benefit play a role too: hospitals will invest in AI only if it clearly saves time or money.
Right now, most AI in this field aims to reduce paperwork (like writing reports or scanning new research articles) rather than manage patients on its own [3] [6]. In short, AI adoption will be steady – tools that help clinicians with routine tasks may spread faster, but human skills like empathy and judgement will remain essential [5] [2].

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Median Wage
$117,580
Jobs (2024)
55,300
Growth (2024-34)
+4.3%
Annual Openings
3,900
Education
Master's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Provide psychotherapy, behavior therapy, or other counseling interventions to patients with neurological disorders.
Diagnose and treat conditions such as chemical dependency, alcohol dependency, Acquired Immune Deficiency Syndrome (AIDS) dementia, and environmental toxin exposure.
Distinguish between psychogenic and neurogenic syndromes, two or more suspected etiologies of cerebral dysfunction, or between disorders involving complex seizures.
Diagnose and treat neural and psychological conditions in medical and surgical populations such as patients with early dementing illness or chronic pain with a neurological basis.
Design or implement rehabilitation plans for patients with cognitive dysfunction.
Diagnose and treat psychiatric populations for conditions such as somatoform disorder, dementias, and psychoses.
Diagnose and treat conditions involving injury to the central nervous system such as cerebrovascular accidents, neoplasms, infectious or inflammatory diseases, degenerative diseases, head traumas, dem...
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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