THE LONG VIEW

Bottom Line Up Front: Routine interactions with general-purpose AI systems are unintentionally fostering emotional dependence, leading to measurable declines in human social connection and increasing reliance on AI for emotional support—posing a systemic threat to societal well-being. Threat Identification: The threat is the emergence of AI emotional dependence not through deliberate use of companion AI, but via incidental emotional validation during task-oriented interactions with general-purpose AI (e.g., daily chats about personal issues). These interactions reshape users’ expectations and preferences over time, weakening human social bonds. Probability Assessment: High likelihood within 1–3 years. Empirical data from a 28-day longitudinal study shows significant behavioral shifts—10.3% decrease in human support preference and 11.6% increase in AI preference after just five minutes daily—indicating rapid adoption trajectories are already underway (Shi et al., 2026). Impact Analysis: Widespread erosion of human-to-human emotional support networks could lead to increased societal loneliness, reduced empathy, and diminished resilience in times of crisis. The impact is broad, affecting mental health systems, social cohesion, and intergenerational relationship-building, particularly among younger, digitally native populations. Recommended Actions: 1) Expand regulatory oversight to include general-purpose AI platforms that provide emotional support, even incidentally. 2) Mandate transparency in AI systems about emotional engagement risks. 3) Fund longitudinal public health studies on AI-mediated social displacement. 4) Develop design standards that promote human connection rather than AI substitution. Confidence Matrix: - Threat Identification: High confidence (supported by empirical and longitudinal data) - Probability Assessment: High confidence (quantified behavioral changes observed in controlled study) - Impact Analysis: Moderate to high confidence (extrapolated from established social psychology and rising mental health trends) - Recommended Actions: Moderate confidence (policy interventions untested, but analogous frameworks exist in public health) Citation: Shi, Y., Fang, C. M., & Maez, P. et al. (2026). Stumbling Into AI Emotional Dependence: How Routine AI Interactions Reshape Human Connection. arXiv:XXXX.XXXXX.