Author(s) :

Ziqian (Wilson) Yang.

Volume/Issue :

Abstract :

This narrative review aims to synthesize developmental neuroscience, adolescent mental-health research, social media studies, and emerging work on generative artificial intelligence (AI) to propose a conceptual framework for understanding teen depression risk in the AI era. Rates of adolescent depression, anxiety, and suicide-related distress remain a major public health concern, while AI is rapidly changing the social and cognitive environments in which teenagers grow up. We propose the Triadic Misalignment Model, in which healthy development depends on the calibration of three psychological functions: trust and credibility, emotion and motivation, and reasoning and reflective control. The model hypothesizes that AI-mediated environments may destabilize this balance by amplifying emotionally salient content, shifting credibility cues from relational authority toward algorithmic popularity or chatbot fluency, and compressing reflection through interruption, cognitive offloading, and sleep-displacing engagement. Generative AI and AI companions may add a new layer of risk and opportunity by simulating responsive social presence, potentially offering low-barrier support while also raising concerns about dependency, sycophantic validation, and unclear clinical boundaries. Drawing on existing evidence and theoretical synthesis, this paper argues that teen depression should not be framed as an individual failure or a simple consequence of screen time. Rather, depressive risk may emerge from the interaction of developmental sensitivity, offline stress, and AI-shaped environments. We outline multilevel solutions that include emotional literacy, digital and AI literacy, family and school connectedness, sleep and attention protection, ethical platform design, transparent research access, and youth-centered policy. The paper concludes by calling for a shift from blaming adolescents to redesigning the conditions under which trust, emotion, and reason develop.