More than a century ago, the Swiss psychiatrist Carl Jung introduced the concepts of introversion and extraversion as key elements of his theory of psychological types. While today we often use "introvert" and "extrovert" to describe someone's level of sociability, Jung's definitions were more complex. He viewed these as different ways of orienting our attention—towards our internal world of thoughts and feelings or towards the external world of people and events. Modern personality research, particularly the widely used Big Five model, includes extraversion as one of five key traits, but it does not directly align with Jung's original theory. This means that while AI and personality studies often measure extraversion, they are not directly testing Jung's psychological types. For introverts, who may find it challenging to move from private thoughts to outward expression, generative AI can serve as a helpful tool. They might find it easier to articulate their ideas in a low-pressure environment with AI, gradually shaping their thoughts before sharing them with others. For extraverts, the role of AI might be quite different. These individuals often gather opinions and ideas from others before forming their own views. However, AI can sometimes add more noise rather than clarity. Instead of feeding them more ideas, an extravert might benefit from an AI that asks thought-provoking questions, helping them reflect more deeply rather than simply reinforcing their existing views. Research from 2026 suggests that people tend to connect more with AI that mirrors their personality traits. Extraverted participants, for instance, reported stronger connections with AI that used language and styles typical of extraverts. However, the same study found no similar preference among introverts, possibly because introversion is more difficult to convey in short text-based interactions. Other studies, including one presented at the CHI 2026 conference, found that people who conversed with AI systems about personal topics became more aligned with the AI's personality traits. Longer conversations led to greater alignment and enjoyment, but this doesn't necessarily mean the interaction was more helpful. Research published in Science in 2026 also warned about "sycophantic" AI—systems that overly affirm users' views, which can make users more confident in their positions but less willing to change their behavior. These findings raise important questions about the role of AI in shaping our personalities. While AI can reflect our tendencies or help us explore new ways of thinking, the balance between personalization and meaningful change is still unclear. Jung emphasized that neither introversion nor extraversion is inherently better, but that psychological balance is key. As AI becomes more integrated into our lives, the challenge is not just to match our personalities but to consider how these interactions might shape who we become.