Mostly Resilient
Last Update: 8/30/2026
AI Resilience Score for Clinical Neuropsychologists:
51.0%
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.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
AI Resilience Report forClinical Neuropsychologists
$110,840 median salary•3,500 annual openings•SOC Code: 19-3039.03
Clinical Neuropsychologists are somewhat more resilient to AI impacts than most occupations, according to our analysis of 5 sources.
Clinical neuropsychology is labeled "Mostly Resilient" because the heart of this work, which includes interpreting complex brain and behavior patterns, conducting empathetic patient interviews, and making nuanced clinical judgments, requires deeply human skills that AI simply cannot replicate on its own. AI is stepping in to handle the most tedious parts of the job, like scoring tests, drafting reports, and triaging cases, which actually frees up neuropsychologists to spend more time directly helping patients.
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Clinical neuropsychology is labeled "Mostly Resilient" because the heart of this work, which includes interpreting complex brain and behavior patterns, conducting empathetic patient interviews, and making nuanced clinical judgments, requires deeply human skills that AI simply cannot replicate on its own. AI is stepping in to handle the most tedious parts of the job, like scoring tests, drafting reports, and triaging cases, which actually frees up neuropsychologists to spend more time directly helping patients.
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Clinical Neuropsychologists
Updated Quarterly
How is AI changing Clinical Neuropsychologists jobs?
Right now, AI is mostly helping clinical neuropsychologists rather than replacing them. In a December 2025 commentary, the American Board of Professional Psychology explains that generative AI is poised to speed up the most time-consuming parts of a neuropsychological evaluation, especially test administration and scoring, test development, and training simulations, with the goal of reducing examiner burden while keeping the clinician central for data integration and interpretation. That matters because there are fewer than 6,000 clinical neuropsychologists practicing in the U.S. and traditional evaluations involve several hours of standardized testing, hand scoring, and long report writing.
The American Academy of Clinical Neuropsychology's Disruptive Technology Initiative [1] similarly notes that AI can reduce diagnostic errors, triage cases, and automate the scoring of thousands of Rey Complex Figure and clock drawings so clinicians can spend more time helping patients directly. A 2026 commentary in the Journal of Clinical and Experimental Neuropsychology [2] frames this moment as an "AI inflection point," warning of real risks around safety, privacy, diagnostic bias, "erosion" of clinical judgment, and a lack of transparency — but not as a displacing force.
Sources
How fast is AI adoption growing for Clinical Neuropsychologists?
Adoption is accelerating in medicine overall: Doximity's 2026 State of AI in Medicine Report (via Barchart) [3] found that AI use rose from 47% of physicians in April 2025 to 63% by January 2026, with neurologists leading all specialties at 64% adoption, while 71% still cite accuracy and reliability as their top concern. In psychology specifically, a PAR industry outlook [4] reports that AI is moving from experimental pilots to everyday workflows in 2026, with psychologists valuing it for streamlining scoring and report writing when transparency and best practices are followed. Adoption is likely to move faster than average because the economic pull is strong — long wait lists, chronic workforce shortages, and heavy paperwork all make labor costs high relative to software.
But adoption will also be slowed by real guardrails: test-security rules protecting copyrighted stimuli, HIPAA privacy, and forensic/legal use of reports mean vendors must build clinician-oversight features. A 2026 review in the Journal of Neuropsychology [5] similarly emphasizes cautious, evidence-based integration. The human skills that stay valuable — clinical judgment, empathetic interviewing, and integrating brain, behavior, and life context — are exactly the parts AI is not replacing.
Sources
Will AI replace Clinical Neuropsychologists?
No. We don't think AI will replace Clinical Neuropsychologists, though we do expect the job to change.
Our 51.0% AI Resilience Score puts this career in "Mostly Resilient" territory, and the evidence backs that up. Right now, AI is handling the most tedious parts of the work: scoring tests, drafting reports, and flagging patterns in drawings like the Rey Complex Figure [1]. That frees up neuropsychologists to do what only a human can do well, which is sit with a patient, read the room, and weave together brain imaging, test results, life history, and clinical intuition into a diagnosis that actually makes sense for that person.
The risks are real. Researchers point to concerns around diagnostic bias, privacy, and the slow erosion of clinical judgment if clinicians lean too heavily on AI outputs [2]. Adoption is accelerating fast, with neurologists leading all medical specialties in AI use [3], but HIPAA rules, test-security protections, and forensic reporting standards all require a licensed clinician to stay in the loop.
Demand is moderate rather than booming, so this is not a career where job openings are exploding. But the workforce is small and the waitlists are long. AI is more likely to help neuropsychologists see more patients than to make the role disappear.
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Latest AI news for Clinical Neuropsychologists
These articles highlight the evolving role of AI in clinical neuropsychology, emphasizing both opportunities and challenges. For instance, the article on automated MoCA scoring showcases how AI can enhance early detection of cognitive impairments, particularly for Arabic speakers. Additionally, the discussion on "precision neuropsychology" illustrates how AI-driven assessments can lead to more tailored treatment plans. While these advancements promise improved diagnostic accuracy, it's crucial for future neuropsychologists to understand the limitations of AI, ensuring they maintain essential human interaction in patient care. Embracing AI resilience is key to thriving in this changing landscape.
Automated MoCA scoring for Arabic speakers using hybrid AI of multimodal speech, vision, and LLM integration
www.frontiersin.org • 6/17/2026
IntroductionEarly detection of dementia and mild cognitive impairment (MCI) remains a significant clinical challenge, particularly in Arabic and...
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...
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...
Medical Metaverse, Part 2: Artificial Intelligence Algorithms and Large Language Models in Psychiatry and Clinical Neurosciences
psychiatryonline.org • 10/16/2023
The medical metaverse and its emerging technologies, such as artificial intelligence (AI), are transforming medical education,...
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
$110,840
Jobs (2025)
60,000
Growth (2025-35)
+2.3%
Annual Openings
3,500
Education
Master's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Participate in educational programs, in-service training, or workshops to remain current in methods and techniques.
2
Provide psychotherapy, behavior therapy, or other counseling interventions to patients with neurological disorders.
3
Read current literature, talk with colleagues, and participate in professional organizations or conferences to keep abreast of developments in neuropsychology.
4
Diagnose and treat conditions involving injury to the central nervous system, such as cerebrovascular accidents, neoplasms, infectious or inflammatory diseases, degenerative diseases, head traumas, de...
5
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.
6
Diagnose and treat pediatric populations for conditions such as learning disabilities with developmental or organic bases.
7
Diagnose and treat psychiatric populations for conditions such as somatoform disorder, dementias, and psychoses.
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.
