In this episode of Next Frontiers of AI, we talk with Jonathan Kreindler, President and Co-Founder of Receptiviti, about the emerging science of psychologically aware AI. Jonathan explains how psychological signals—often hidden in filler words that LLMs overlook—are vital for turning AI agents from simple responders into emotionally intelligent and human-aware coworkers. His team is developing new technologies that provide AI with a validated, research-backed layer of human insight, enabling agents to detect stress, mindset, and decision-making style from natural language in real time.
While Large Language Models (LLMs) can speak fluently, that doesn’t mean they understand us. Today’s AI agents excel at semantics, syntax, and pattern recognition—yet they still lack the psychological context needed to understand how humans think, feel, and decide. It’s the difference between AI that merely sounds human and AI that truly understands humans.
Watch this engaging discussion as we explore the practical implications of this breakthrough for digital labor, customer experience, mental health, and more. From helping burned-out healthcare workers to creating customer service agents that recognize anxiety and respond clearly, this conversation previews a more psychologically tuned, human-aware future for agentic AI.
