Mostly Resilient
Last Update: 8/30/2026
AI Resilience Score for Neuropsychologists:
53.9%
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.
High
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%).
Med
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%).
Med
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 forNeuropsychologists
$110,840 median salary•3,500 annual openings•SOC Code: 19-3039.02
Neuropsychologists are somewhat more resilient to AI impacts than most occupations, according to our analysis of 5 sources.
Neuropsychology is labeled "Mostly Resilient" because the heart of this work, which includes listening carefully to patients, making complex clinical judgments, and building trust with people going through difficult health challenges, simply cannot be replicated by AI. While AI is taking over some time-consuming tasks like scoring tests and drafting reports (roughly 35% of the work), these changes actually free up neuropsychologists to spend more time on the parts that matter most.
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Neuropsychology is labeled "Mostly Resilient" because the heart of this work, which includes listening carefully to patients, making complex clinical judgments, and building trust with people going through difficult health challenges, simply cannot be replicated by AI. While AI is taking over some time-consuming tasks like scoring tests and drafting reports (roughly 35% of the work), these changes actually free up neuropsychologists to spend more time on the parts that matter most.
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Neuropsychologists
Updated Quarterly
How is AI changing Neuropsychologists jobs?
Right now, AI is mostly augmenting neuropsychologists rather than replacing them. The biggest experiments are in report writing, test scoring, and pattern-spotting. The American Board of Professional Psychology explains that generative AI can support "ambient" audio systems [1] that capture spoken test responses in real time, score them against norms, and auto-draft score reports — while stressing that "the role of the clinician would remain central for data integration and interpretation." The American Academy of Clinical Neuropsychology's Disruptive Technology Initiative highlights how reinforcement-learning AI [2] can analyze complex neurocognitive data to help clinicians reason from patterns.
A 2026 review in the Journal of Neuropsychology similarly found AI is reshaping cognitive assessment of neurodegenerative disorders [3], especially for early Alzheimer's detection. Across healthcare more broadly, HealthTech Magazine reports that AI scribes and workflow tools are delivering real ROI in 2026 [4] by automating repetitive documentation — matching the ~35% automation estimate for report writing in this role.
Sources
How fast is AI adoption growing for Neuropsychologists?
Adoption is moving carefully. On the "faster" side, fewer than 6,000 clinical neuropsychologists practice in the U.S. while demand far outpaces supply [1], so clinics have strong reasons to try AI that shortens hours-long batteries and lengthy reports. On the "slower" side, ethics and trust matter enormously: a 2026 paper in Assessment warns that AI in psychological assessment raises risks around decision-making, bias, and training [5] that must be managed, and the APA's 2025 ethical guidance urges psychologists to verify AI outputs and protect patient data [6].
Career analysts also note that empathy, ethical judgment, and interpersonal skills cannot be replicated by AI [7], which is exactly why interviews, therapeutic rapport, and clinical interpretation remain firmly human. The takeaway for students curious about this field: AI will likely handle more of the paperwork and scoring, but the human clinician who listens, interprets, and cares is still central — and in high demand.
Sources
Will AI replace Neuropsychologists?
No. We don't think AI will replace Neuropsychologists, though we do expect the job to change.
Our scorecard gives this career a 53.9% AI Resilience Score, landing it in "Mostly Resilient" territory. That reflects something real: the core of this work, listening to patients, interpreting complex cognitive patterns, and making ethical clinical judgments, is genuinely hard for AI to replicate. Empathy, rapport, and nuanced human reasoning remain firmly in the clinician's hands [7].
What AI is already doing is handling the more repetitive parts of the job. Generative AI can capture spoken test responses, score them against norms, and auto-draft reports, while the clinician stays central for data integration and interpretation [1]. AI is also helping spot patterns in neurocognitive data to support clinical reasoning [2], and it is reshaping how early conditions like Alzheimer's are assessed [3]. Think of it as AI taking on the paperwork so the neuropsychologist can focus on the patient.
The job market picture is moderate, not booming, so students should go in clear-eyed. But with fewer than 6,000 clinical neuropsychologists practicing in the U.S. and demand outpacing supply [1], there is real room for people who can work alongside these tools thoughtfully and ethically.
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Latest AI news for Neuropsychologists
These articles highlight the evolving role of neuropsychologists in an AI-driven landscape. For instance, the study on cognitive tests shows how brief assessments can help identify impairments, emphasizing the need for neuropsychologists to integrate AI tools in their practice. Similarly, Thymia's innovative approach combines gaming with neuropsychology to improve depression diagnosis, showcasing the potential for AI to enhance mental health evaluations. Embracing these technologies can foster resilience and adaptability in neuropsychology, ensuring that professionals remain vital in mental health care.
AI exposure, occupational mobility, and post-transition job quality in China: labor-saving and labor-augmenting channels
www.frontiersin.org • 7/20/2026
This study examines how exposure to artificial intelligence (AI) shapes Chinese workers' occupational mobility and how the consequences differ across AI's...
Approach or avoidance? A dual-pathway model of job crafting in response to generative AI and its impact on career sustainability
www.frontiersin.org • 3/13/2026
IntroductionAs generative artificial intelligence (AI) is increasingly integrated into employees' daily workflows, it is profoundly reshaping the nature of...
PENSIEVE-AI a brief cognitive test to detect cognitive impairment across diverse literacy
www.nature.com • 3/23/2025
Undiagnosed cognitive impairment is a pervasive global issue, often due to subtle nature of early symptoms, necessitating the use of brief...
Neuropsychological side effects remain 6 months into cystic fibrosis triple therapy
www.healio.com • 12/31/2024
At three follow-up visits within 6 months, reports of neuropsychological side effects rose or stayed stable among patients with cystic...
Thymia: Using Video-Game Inspired AI and Neuropsychology to Diagnose Depression
med-tech.world • 12/6/2021
Thymia combines video-game inspired AI with neuropsychology to diagnose depression, offering innovative and accurate mental health assessments.
More Career Info
Career: Neuropsychologists
They study how the brain affects behavior and thinking, helping people with brain injuries or disorders improve their daily lives.
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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
Educate and supervise practicum students, psychology interns, or hospital staff.
2
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...
3
Diagnose and treat conditions such as chemical dependency, alcohol dependency, Acquired Immune Deficiency Syndrome (AIDS) dementia, and environmental toxin exposure.
4
Provide education or counseling to individuals and families.
5
Consult with other professionals about patients' neurological conditions.
6
Diagnose and treat pediatric populations for conditions such as learning disabilities with developmental or organic bases.
7
Design or implement rehabilitation plans for patients with cognitive dysfunction.
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.
