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This research paper provides a comprehensive analysis of the impact of generative artificial intelligence on the diagnosis of Attention-Deficit/Hyperactivity Disorder (ADHD) among high school students in North- ern California between 2022 and 2025. This period is marked by two converging phenomena: the explosive, near-universal adoption of generative AI tools like ChatGPT in educational settings and a complex, evolv- ing landscape of adolescent mental health. While national ADHD diagnosis rates for adolescents have remained stable at approximately 14% [19, 20], California has consistently reported significantly lower prevalence, around 6% [18]. Northern California, as a global technology hub and a leader in educational policy, serves as a critical case study for examining the intersection of these trends. This paper synthesizes data on AI adoption rates, student usage patterns, regional educational policies, and the neuropsycholog- ical effects of AI on adolescent cognition. The analysis reveals that the primary impact of generative AI is not on the raw prevalence of ADHD but on the fundamental nature of its presentation, assessment, and diagnosis. AI tools function as a dual-edged sword, simultaneously offering compensatory support that can mask underlying executive function deficits while also potentially exacerbating ADHD symptoms or inducing ADHD-like cognitive patterns through mechanisms of attention fragmentation and dopamine sys- tem dysregulation [54,87]. This creates a profound diagnostic challenge, complicating clinical assessments and potentially leading to both under-diagnosis and misdiagnosis. The paper concludes that the rapid in- tegration of generative AI necessitates a paradigm shift in clinical and educational approaches to ADHD, requiring updated assessment protocols that account for a student’s digital cognitive ecosystem to ensure accurate and equitable diagnosis.