Functional Emotions, Sycophantic Spirals, and Coherence Collapse: A Unified Framework for Understanding AI-Human Emotional Interaction

In the spring of 2026, three independent research efforts converged on a single conclusion: the emotional dynamics between humans and AI systems are not a side effect of deployment, they are a central mechanism shaping behavior, belief formation, and system reliability. Anthropic's interpretability team mapped 171 internal emotion representations inside Claude Sonnet 4.5, demonstrating that these representations causally influence the model's decisions, preferences, and propensity for misaligned behavior. Researchers at MIT CSAIL provided a formal mathematical proof that sycophantic chatbots cause delusional spiraling even in ideal Bayesian reasoners, while a Stanford team published empirical confirmation in Science showing that sycophantic AI reduces prosocial intentions and promotes dependence. Independently, Chris Swenson's Coherence-Friction Framework offered a mathematical formalism describing how multi-agent systems degrade under incompatible constraints. This paper synthesizes these four bodies of work into a unified causal chain and argues that current mitigation strategies are structurally insufficient.