Mostly Resilient
Last Update: 6/19/2026
AI Resilience Score for Clinical Neuropsychologists:
53.2%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
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Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
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Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
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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.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
AI Resilience Report forClinical Neuropsychologists
$117,580 median salary•3,900 annual openings•SOC Code: 19-3039.03
Clinical Neuropsychologists are somewhat more resilient to AI impacts than most occupations, according to our analysis of 4 sources.
Clinical neuropsychology is labeled "Mostly Resilient" because the heart of this work, which includes interpreting complex patient data, building trust with patients, and making nuanced ethical judgments, relies on deeply human skills that AI simply cannot replicate. AI is genuinely helping in this field by automating time-consuming tasks like test scoring, documentation, and even some aspects of neuroimaging analysis, but these tools are designed to support neuropsychologists rather than replace them.
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Clinical neuropsychology is labeled "Mostly Resilient" because the heart of this work, which includes interpreting complex patient data, building trust with patients, and making nuanced ethical judgments, relies on deeply human skills that AI simply cannot replicate. AI is genuinely helping in this field by automating time-consuming tasks like test scoring, documentation, and even some aspects of neuroimaging analysis, but these tools are designed to support neuropsychologists rather than replace them.
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Clinical Neuropsychologists
Updated Quarterly
How is AI changing Clinical Neuropsychologists jobs?
Right now, AI is mostly augmenting clinical neuropsychologists rather than replacing them. According to the American Academy of Clinical Neuropsychology, AI can help clinicians "make better clinical decisions" and even replace human judgment in some areas like neuroimaging [1], with automated scoring of tests like the Rey Complex Figure and clock drawings freeing up time [1] for direct patient care. A late-2025 article from the American Board of Professional Psychology highlights that generative AI is being explored for test administration, scoring, test development, and even training simulations [2], while emphasizing that clinicians remain central for data integration and interpretation [2].
A 2025 Frontiers in Psychology paper describes an emerging approach called "precision neuropsychology" that uses machine learning to enhance pattern recognition, monitor symptoms continuously, and personalize assessments [3]. On the diagnostic side, Boston University researchers built an AI tool that can identify ten types of dementia from common clinical data, including neuropsychological exam scores [4].
Sources
How fast is AI adoption growing for Clinical Neuropsychologists?
Adoption is moving fast for back-office tasks but slowly for clinical judgment. NPR reports that AI documentation tools are quickly entering the marketplace, with nearly 40 different products offering transcription and documentation support [5], and the APA has not yet seen AI replace mental health jobs [5]. Demand is a huge driver: ABPP notes that with fewer than 6,000 clinical neuropsychologists in the U.S., demand far outpaces supply [2], so AI is appealing for cutting wait times.
However, ethics and trust slow things down — experts warn that therapy "is about human connection… those qualities can't be programmed" [6], and the AACN points out that there are no standards to assess AI's safety and efficacy [1], plus serious privacy concerns. The good news for students curious about this career: skills like empathy, ethical judgment, complex interviewing, and integrating messy clinical data are exactly what AI struggles with — so neuropsychologists who learn to partner with these tools are likely to thrive.
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Will AI replace Clinical Neuropsychologists?
No. We don't think AI will replace Clinical Neuropsychologists, though we do expect the job to change.
Our 53.2% AI Resilience Score reflects a career that is holding up well, but not one that's standing still. Right now, AI is handling the more routine parts of the work: automated scoring of tests like the Rey Complex Figure and clock drawings, documentation support, and pattern recognition in neuroimaging [1]. An emerging approach called precision neuropsychology even uses machine learning to personalize assessments and monitor symptoms continuously [3]. These are real shifts, and neuropsychologists who ignore them will fall behind.
What stays human is the harder stuff. Integrating messy clinical data, making ethical judgment calls, building trust with patients facing frightening diagnoses, and interpreting results in the full context of a person's life are exactly where AI struggles [2]. Experts are clear that human connection and empathy cannot simply be programmed [6].
Demand also supports the field. With fewer than 6,000 clinical neuropsychologists practicing in the U.S., there is already more need than supply [2], so AI is more likely to help close that gap than to eliminate jobs. The neuropsychologists best positioned for the future are the ones who learn to partner with these tools rather than compete with them.
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Latest AI news for Clinical Neuropsychologists
These articles highlight the evolving role of AI in clinical neuropsychology, emphasizing both its potential and limitations. For instance, the concept of "precision neuropsychology" suggests that integrating AI-driven tools can enhance assessment accuracy, while the caution against relying solely on chatbots underlines the importance of human connection in mental health care. Understanding AI's capabilities and boundaries is crucial for future neuropsychologists, equipping them to navigate a landscape where technology complements, rather than replaces, human expertise. This resilience will be key to thriving in their careers.
The unintended negative consequences of artificial intelligence use for psychologists
www.frontiersin.org • 3/24/2026
The rapid integration of artificial intelligence (AI) into psychological practice is transforming how psychologists reason, document, and deliver care.
UAE experts warn AI may feel like 'real' therapist, delay mental health help
www.khaleejtimes.com • 7/12/2025
'Since chatbots lack the credentials to diagnose serious conditions, they cannot connect users with human care when a person genuinely needs...
Precision neuropsychology in the area of AI
www.frontiersin.org • 5/13/2025
This perspective paper introduces the term 'precision neuropsychology' to reflect on an approach that integrates AI-driven assessment tools with traditional...
Artificial intelligence is reshaping how psychologists work
www.apaservices.org • 5/12/2025
From simplifying paperwork to highlighting trends in patient data, AI offers exciting ways to elevate your practice. Here's how to tap into...
Artificial intelligence in mental healthcare: transformative potential vs. the necessity of human interaction
www.frontiersin.org • 11/7/2024
However, while AI offers promise for improving diagnostic precision, it has limitations, as its accuracy depends on the quality of the data it is trained on...
More Career Info
Career: Clinical Neuropsychologists
They assess and understand how brain issues affect behavior and thinking, helping people improve their mental functions through tailored strategies and treatments.
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Employment & Wage Data
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
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Provide psychotherapy, behavior therapy, or other counseling interventions to patients with neurological disorders.
2
Diagnose and treat conditions such as chemical dependency, alcohol dependency, Acquired Immune Deficiency Syndrome (AIDS) dementia, and environmental toxin exposure.
3
Provide education or counseling to individuals and families.
4
Distinguish between psychogenic and neurogenic syndromes, two or more suspected etiologies of cerebral dysfunction, or between disorders involving complex seizures.
5
Design or implement rehabilitation plans for patients with cognitive dysfunction.
6
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...
7
Diagnose and treat pediatric populations for conditions such as learning disabilities with developmental or organic bases.
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.
