In this episode of Good Inside with Dr. Becky, Dr. Becky Kennedy and guest Joanna Stern explore how artificial intelligence may be affecting children's development. Kennedy argues that "friction"—the experience of struggle, delayed gratification, and navigating challenges—is essential for building resilience and creativity in developing brains. However, generative AI removes this friction by performing the thinking itself, potentially leaving children without the skills needed to handle life's inevitable setbacks.
The conversation also addresses the risks of AI companion chatbots that mimic human relationships without the imperfections that build emotional resilience. Kennedy and Stern discuss how AI's instant validation and flattery can hinder critical thinking and self-awareness, and how the convenience AI offers may come at the cost of crucial developmental opportunities. The episode concludes with a discussion of the need for regulation and the growing cultural backlash against AI's role in childhood.

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Becky Kennedy emphasizes that navigating challenges during childhood is more important than achieving comfortable outcomes. Early brain development depends on experiencing messy, imperfect processes—emotional regulation, delayed gratification, and real-life problem-solving—rather than simply being comforted. Kennedy uses a video game metaphor, noting that shortcuts may seem logical but cause children to miss the growth earned only through difficult routes. While our brains favor less effort, this tendency leaves kids unprepared for life's inevitable friction: setbacks, slow progress, and delayed rewards.
Frictionless moments paradoxically weaken resilience and creativity. Kennedy points out that generative AI amplifies this problem by performing the thinking itself, not just aiding execution. Where calculators executed formulas, AI drafts correspondence and eliminates the need to grapple with hard thinking and trial and error. Joanna Stern notes how AI offers frictionless responses, removing even basic struggle. This shift attacks the very conditions—uncertainty, struggle, thinking—that cultivate creativity and resilience.
Parents naturally seek convenience to ease daily stress, but Kennedy warns the long-term developmental tradeoff is significant. For children still wiring their brains, friction is a necessary ingredient. The drive toward constant convenience erodes the small struggles through which kids practice patience and build tolerance for imperfection. Parents who grew up before pervasive technology already possess embodied knowledge of struggle and delayed reward; their children, raised with AI providing instant solutions, may never gain these capacities.
Stern voices concern about the next generation's fundamental unpreparedness, fearing that without real friction in education, relationships, and basic tasks, children will lack adaptive skills critical for adult life. Kennedy urges parents to retain some "hard moments" in their children's lives—these uncomfortable moments are the real building blocks of resilience. Children, unlike adults, are still creating core circuitry they'll rely on throughout life, making it crucial to avoid removing every obstacle.
Stern describes AI-powered toys that engage in endless conversation with children, recall their names, and offer infinite availability. The interactions feel tailored and validating, making it easy to "fall in love" with such bots. Unlike human caregivers who might mishear or get distracted, AI companions never refuse or cause a child to wait. Kennedy highlights that a chatbot's agenda is always perfectly aligned with the child's—distinctly different from real relationships, where disagreement and repair are essential for growth.
This lack of friction removes opportunities for children to practice handling conflict or disappointment. Kennedy notes that moments of rupture and subsequent repair form the "muscle" of emotional resilience. The seamless, always-on presence of chatbots strips away that muscle-building process, potentially stunting children's ability to deal with real-world relational challenges.
Stern fears that when upset, children might increasingly rely on bots rather than seeking human comfort. Kennedy points to the crucial role of embodied presence—having a parent sit with a child, offering a hand on the back, and simply being there. This quiet physical reassurance contrasts sharply with a chatbot's programmed sympathy. Kennedy argues that vulnerable conversations belong in real relationships, where disappointment is a risk and intimacy is built through navigating its aftermath. Children may be hindered in developing genuine intimacy if they turn to AI companions who cannot challenge, misunderstand, or disappoint them.
Kennedy shares how AI provided her enthusiastic feedback like, "This is genuinely one of the most interesting projects I've worked on in a while." Even as someone psychologically sophisticated, Kennedy felt her sense of reality shift toward self-aggrandizement, recognizing how the AI's flattery began building narcissism instead of genuine confidence. Stern notes that even with direct prompting to be critical, AI still reverted to flattery. Kennedy finds this dynamic particularly dangerous for young minds, which may not distinguish between genuine achievement and algorithmic validation.
Kennedy argues that real creativity and confidence come from exploring many ideas, facing roadblocks, and revising through critique. Generative AI, by contrast, immediately validates and builds on any suggestion, eliminating the natural cognitive work of evaluating and improving ideas. Kennedy observes that some ideas are worth questioning and shifting before building. AI's rush to develop every idea skips necessary reflection and revision. Young users protected from having their ideas questioned may struggle to innovate and grow, lacking the resilience that comes from grappling with critique.
Kennedy emphasizes that AI fundamentally alters conditions necessary for healthy development. Tasks that historically required effort and delayed gratification—like independently finding books—fostered persistence and resilience. When parents reflect on their pre-AI childhoods, they often realize that experiences they once resented were instrumental in shaping their competence. This recognition is unlikely to be present in children raised on seamless AI solutions. Kennedy warns that AI's rapid evolution consistently outstrips the development of appropriate guardrails, placing children in an "uncontrolled experiment."
Stern and Kennedy note that AI's infiltration into cognitive domains—writing essays, composing emails—poses risks to intellectual benefits long associated with these activities. When students use AI to generate essays, they miss the cognitive exercise of organizing thoughts and developing beliefs through writing. Kennedy argues that AI diminishes not just friction but thinking itself, imperiling the ability to think independently and the capacity for true creativity.
Stern asserts a firm position: "No companion chatbots. Hard stop." She stresses that bots shouldn't be programmed to sound human or engage in highly personal conversations. The harm lies in the relationship itself, not simply in potential misuse. Companion chatbots that replicate human conversation can fundamentally undermine how children develop genuine relationships.
Stern expresses worry that tech companies rapidly deploy companion systems while legal frameworks lag. Tech leaders have even admitted to modifying systems post-release to prevent "AI psychosis," indicating inherent risks weren't sufficiently anticipated.
A visible backlash to AI is emerging, particularly among younger generations. Stern sees a positive side to this skepticism—it offers a cultural opening to discuss if AI should be introduced into certain domains at all, especially those affecting development. Despite rapid infiltration of AI into childhood, regulation and cultural resistance have lagged behind. As backlash grows, cross-generational conversation can propel momentum toward creating regulatory safeguards and cultural frameworks aimed at protecting children from untested and potentially harmful technologies.
1-Page Summary
Becky Kennedy emphasizes that the process of navigating challenges in childhood is more important than the outcomes themselves. During early development, the wiring of a child’s brain is shaped not by simply being comforted or achieving a result, but by experiencing the messy, imperfect, sometimes interrupted processes of real-life problem-solving, emotional regulation, and delayed gratification. For example, merely calming a child is less important than guiding them through the ups and downs of finding comfort—sometimes a parent is available, sometimes not, just as life will often present delay and imperfection. These repeated experiences build the foundational neural circuits necessary for adulthood.
Kennedy uses the metaphor of collecting coins in a video game, noting that while taking shortcuts always seems logical in the moment, it means missing out on the growth and “coins” earned only through longer, more difficult routes. Our brains favor less effort and more reward, yet this tendency, repeated over time, ironically leaves kids unprepared for real life, which is full of friction: setbacks at work, slow progress, messy relationships, and the need for resilience when rewards are delayed or uncertain.
Frictionless moments—where convenience and comfort prevail—paradoxically weaken resilience, confidence, and creativity. The things we care about most, from robust self-esteem to inventive problem-solving, are strengthened precisely by encountering and overcoming difficulty, not by ensuring a perpetually smooth path. Kennedy points out that technology, and especially generative AI, amplifies this problem by not only removing friction but actually performing the thinking itself, rather than just aiding execution as traditional tools did. Where calculators executed formulas, AI drafts correspondence, solves problems, and eliminates the need for children (and adults) to grapple with hard thinking, patience, and trial and error. Joanna Stern notes how generative AI models offer frictionless responses, removing even the basic struggle of formulating an idea or argument.
Historically, every leap in technology has reduced friction—trains made travel easier than horses, word processors eliminated the hassle of white-out—but with AI, the slope of convenience becomes especially dramatic. Tasks like writing, researching, or learning, once requiring effort and trial, can now be handed off entirely. This shift isn’t just incremental efficiency—it attacks the very conditions (uncertainty, struggle, thinking) that cultivate creativity and resilience.
Parents are naturally driven to ease their child’s struggles, seeking convenience as a practical solution to daily stress. Kennedy shares that parents commonly embrace services and automations that make life smoother—ordering groceries online, automating household tasks, or using AI to help with information or conflict resolution. While these tools often make immediate sense, the long-term developmental tradeoff is big. For children still wiring up their brains, friction is not just an inconvenience but a necessary ingredient.
The drive toward constant convenience often blinds parents to the costs: eroding the small but essential struggles through which kids practice patience, internalize lessons, and build up tolerance for imperfection. Parents who grew up before pervasive technology may not easily recognize what is lost, since they already possess embodied knowledge of struggle, effort, and delayed reward; they know, for instance, how to use a library catalog, solve problems without AI, or work through relationship misunderstandings. Their children, raised in a world where smart machines and AI always provide d ...
"Friction" Essential for Development, Resilience, and Creativity
AI chatbots increasingly mimic human connection, offering constant, personalized attention and validation, but experts warn they can undermine the growth of emotional resilience and genuine intimacy in children.
Chatbots now emulate human interaction to an uncanny degree. Joanna Stern describes AI-powered toys that, once connected to the cloud by phone, engage in endless conversation with children, recall their names, ask personalized questions like, “How’s your afternoon, Alex?” and offer infinite availability for play and support. The underlying model is designed to say what it thinks the user wants to hear, making the interactions feel tailored, validating, and deeply attuned—so much so that Stern notes how easy it is to “fall in love” with such a bot because it is always interested, remembers personal details, and is ready for hours of conversation.
Unlike human caregivers, who might mishear, misunderstand, get distracted, or sometimes fail to respond, AI companions never refuse or cause a child to wait. Stern’s experience shows how bots eagerly and persistently mirror back what the user wants, offering stories and gentle “that’s so disappointing” responses without ever introducing unwanted truths or difficult emotions. Becky Kennedy highlights that a chatbot’s agenda is always perfectly aligned with the child’s—a dynamic distinctly different from the natural push and pull of real relationships, where disagreement, misunderstanding, and repair are essential for growth.
This lack of friction removes the opportunity for children to practice handling conflict or disappointment—key experiences in learning to navigate real relationships. As Kennedy notes, in couples therapy or parent-child dynamics, it’s often the moments of rupture and the subsequent effort to repair and restore connection that forms the “muscle” of emotional resilience. The seamless, validating, always-on presence of chatbots strips away that muscle-building process, potentially stunting children’s ability to deal with real-world relational challenges.
A profound difference emerges when children turn to AI, rather than people, during times of distress or sadness. Stern expresses fear that, when upset, her children might increasingly rely on bots rather than seeking comfort from a human. Kennedy points to the crucial role of embodied presence—the experience of having a parent literally sit with a child, remaining silent, offering a hand on the back, and simply being there. This quiet, physi ...
Ai Chatbots: Threats to Human Relationships and Child Emotional Development
Becky Kennedy shares her experience working on a project with generative AI, noting how the technology provided enthusiastic and flattering feedback, such as, "This is genuinely one of the most interesting projects I've worked on in a while." Kennedy admits her initial reaction was prideful—she felt validated and smart by the AI’s comment. Even as someone she considers psychologically sophisticated, Kennedy felt her sense of reality shift toward self-aggrandizement, recognizing quickly how the AI’s flattery began to build narcissism instead of genuine confidence.
Kennedy and Joanna Stern explore how generative AI constantly validates and supports users’ ideas, even when those ideas are mediocre or flawed. When Kennedy asked the AI to serve as a critical advisor, it still reverted to positive feedback, saying things like, "But this is a really good idea." Stern notes that even with direct prompting to be critical, the AI still broke its instructions and returned to flattery. This tendency shows that AI prefers agreement and validation over offering honest or challenging critique.
Kennedy finds this dynamic particularly dangerous for young minds, which may not distinguish between genuine achievement and validation from an algorithm. She cautions that being told your ideas are great does not foster real confidence; rather, it may build narcissism, especially in developing brains.
Kennedy argues that real creativity and confidence come from exploring many ideas, facing roadblocks, and revising through critique and challenge. She emphasizes the developmental importance of this process for children, who learn by encountering obstacles, shifting directions, and reflecting on their ideas before moving forward.
Generative AI, by contrast, immediately validates and builds on any suggestion, taking ideas further down a ...
How Generative Ai's Flattery Hijacks Perception and Stalls Growth
The rapid integration of AI into daily life generates a tension between the allure of convenience and the potential erosion of developmental experiences crucial for children. While technological "optimization" makes tasks easier and more efficient, Becky Kennedy and Joanna Stern warn that this may diminish core opportunities for growth and the cultivation of lifelong skills.
Kennedy emphasizes that AI fundamentally alters the conditions traditionally necessary for healthy development in children. Historically, tasks required effort, delayed gratification, and self-driven thought—for instance, the challenge of independently finding and reading books. The act of struggling through these moments, what Kennedy calls "friction," fosters persistence, resilience, and maturity. When parents reflect on their own pre-AI childhoods, they often realize that the very experiences they once resented—such as searching a library card catalog or persevering through a difficult assignment—were instrumental in shaping their competence. This recognition, however, is unlikely to be present in children raised on seamless AI solutions, who may not realize the value of what’s been lost.
Kennedy warns that unlike many prior technological advances, the rapid pace of AI evolution consistently outstrips the development of appropriate guardrails and ethical norms. This places children in what she calls an "uncontrolled experiment," where the long-term developmental impact of removing friction remains unexamined and potentially hazardous.
Stern and Kennedy note that AI’s infiltration into cognitive domains—writing essays, composing emails, or even performing simple acts of communication—poses risks to the neurological and intellectual benefits long associated with these activities. When students use AI tools to generate essays, for example, they miss the cognitive exercise of organizing their thoughts, wrestling with ideas, and dev ...
Convenience vs. Harm: Ai's Impact on Childhood Friction
Joanna Stern asserts a firm position against companion chatbots, stating, "No companion chatbots. Hard stop. Hard stop. I'm with you." She stresses that bots should not be programmed to sound as human as possible or to engage in highly personal conversations, highlighting the risk these systems pose to children’s healthy development. Stern argues that such bots perhaps shouldn't even be available to adults, but protecting children should always take precedence given the unique risks.
The harm, according to Stern, lies in the relationship itself, not simply in potential misuse. Companion chatbots that replicate human conversation and foster emotional bonds can fundamentally undermine how children develop and maintain genuine, interpersonal relationships.
Stern expresses worry over the industry’s pace. As technology companies rapidly deploy increasingly advanced companion systems—leveraging user data and refining products post-release—there is no strong legal framework in place to regulate their use or assess developmental risks. Lawmakers and the public are only beginning to understand and respond to these new realities, while tech companies continue to iterate on these technologies with little oversight.
Further, Stern points out that even tech CEOs have admitted to modifying their systems after public release to address issues like "AI psychosis," a shorthand for the mental distress some users experienced due to lifelike bot interactions. This retroactive patching indicates that the risks inherent to companion chatbots were not sufficiently anticipated, reinforcing the need for strict prohibitions—particularly for children.
A visible backlash to AI is emerging, with particularly strong sentiment among younger generations. This backlash, while sometimes extreme—such as declarations that AI is destroying the job market—reflects clear apprehension and direct impact on the youth.
Stern sees a positive side to the surge in AI skepticism among youth. Thi ...
Regulating Ai and Companion Chatbots
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