Last Update: 3/13/2026
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 care for people with mental health issues by monitoring their condition, assisting with daily activities, and supporting treatment plans.
This role is stable
The career of a psychiatric technician is labeled as "Stable" because AI tools can't replace the essential human skills needed in this field. Tasks like understanding emotions, offering compassion, and physically assisting patients during crises still require a human touch that 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 psychiatric technician is labeled as "Stable" because AI tools can't replace the essential human skills needed in this field. Tasks like understanding emotions, offering compassion, and physically assisting patients during crises still require a human touch that 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
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
High 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
Psychiatric Technicians
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
Today, most core tasks of psychiatric technicians still rely on people. Basic physical checks (like blood pressure or temperature) use smart devices, and some hospitals now have AI systems that automatically watch vital-sign monitors and alert staff to problems [1]. Researchers even have AI that tries to read stress or mood from voice or face [2], though this isn’t commonly used on wards yet.
In the meantime, some robot companions and apps help with well-being. For instance, an AI “therapeutic robot” called Robin chats and plays with hospital patients to ease loneliness [1]. There are also smartphone apps (like “Joy” or chatbots such as Woebot) that use AI to listen to a person’s tone and suggest small wellness exercises [1].
Even training can use tech: virtual-reality programs let new staff practice patient scenarios with AI feedback [3]. But important jobs like de-escalating a crisis, physically helping or teaching a person in distress, and restraining a patient in danger still need a caring human touch.

AI in the real world
Hospitals and clinics are looking at AI mainly to help with overwhelm and staffing gaps. For example, when mental health services are overloaded, British health systems have tested AI “e-triage” tools that pre-screen patients for common disorders [4]. In general, health providers say AI can free up nurses from routine chores so they can care more deeply for patients [1].
However, adoption is cautious. Good patient care needs empathy and safety, so new AI tools must prove themselves reliable. The technology is also expensive and must meet strict medical rules before hospitals use it widely.
Patients and workers worry about privacy or AI making mistakes with emotions.
In short, AI in psychiatric care is still growing: it helps with simple monitoring and wellness guidance, but experts agree that the personal skills of psychiatric technicians – compassion, judgment, and hands-on support – remain invaluable in this field [1] [1].

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Median Wage
$42,590
Jobs (2024)
144,500
Growth (2024-34)
+20.0%
Annual Openings
15,900
Education
Postsecondary nondegree award
Experience
Less than 5 years
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Train or instruct new employees on procedures to follow with psychiatric patients.
Observe and influence patients' behavior, communicating and interacting with them and teaching, counseling, or befriending them.
Encourage patients to develop work skills and to participate in social, recreational, or other therapeutic activities that enhance interpersonal skills or develop social relationships.
Develop or teach strategies to promote client wellness and independence.
Restrain violent, potentially violent, or suicidal patients by verbal or physical means as required.
Escort patients to medical appointments.
Provide nursing, psychiatric, or personal care to mentally ill, emotionally disturbed, or mentally retarded patients.
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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