What addiction medicine can teach us about depending on AI
By
Jonathan Avery
May 11, 2026
Clinical Scorecard: Insights from Addiction Medicine on Our Reliance on Artificial Intelligence
At a Glance
Category Detail
Condition Psychological reliance on AI tools Key Mechanisms AI reduces cognitive discomfort and enhances task performance Target Population Individuals using AI for cognitive tasks, including students and professionals Care Setting Educational and clinical environments
Key Highlights
AI can provide significant cognitive relief but may lead to over-reliance. The process of addiction begins with relief, not harm. AI's impact on cognition is subtle and may weaken essential skills. Establishing boundaries in AI use can preserve cognitive autonomy. Addiction medicine offers insights into managing reliance on powerful tools. Guideline-Based Recommendations
Diagnosis
Monitor for signs of psychological reliance on AI tools. Management
Encourage users to set boundaries for AI use to maintain cognitive skills. Monitoring & Follow-up
Assess the impact of AI on decision-making and creativity over time. Risks
Increased reliance on AI may lead to diminished cognitive abilities. Patient & Prescribing Data
Individuals using AI for academic or professional tasks.
Cognitive discomfort is essential for skill development; reliance on AI should be managed.
Clinical Best Practices
Encourage self-monitoring of AI use, especially during stressful times. Promote the value of struggle in cognitive tasks to enhance learning. Educate users on the potential risks of over-reliance on AI. Related Resources & Content
