Artificial Intelligence
Will Artificial Intelligence Make Children Smarter?
How AI could shape the future of our intelligence.
Posted March 31, 2025 Reviewed by Michelle Quirk
Key points
- AI can boost learning, but only when used with intention and balance.
- Personalized AI tools may deepen thinking or distract from it.
- Human connection and curiosity must guide digital learning paths.
Whether artificial intelligence (AI) will make our children smarter is more than mere speculation—it reflects ongoing developments in cognitive science, education, and digital technology. Intelligence is a complex and multidimensional construct shaped by both biological and environmental influences, including educational interventions and exposure to stimulating experiences (Goldstein & Naglieri, 2011). To understand AI's potential role in this landscape, we must first consider the Flynn effect—the historical rise in IQ scores observed over the 20th century—and how AI could extend or even reverse this trajectory.
Understanding the Flynn Effect
The Flynn effect, named after political scientist James R. Flynn, describes the significant and sustained increase in IQ scores across generations throughout the 20th century. Research indicates that children's intelligence scores have risen consistently, particularly in fluid intelligence (problem-solving and reasoning abilities) rather than crystallized intelligence (knowledge acquired over time; Resing & Tunteler, 2007). These findings reflect broader societal shifts that have increasingly made the mental demands on younger generations more complex.
Several contributing factors have been suggested: improved nutrition, access to education, urbanization, smaller families, and increasingly complex environments. According to Ceci and Williams (2016), technology—such as television, video games, and the internet—has facilitated these advancements by demanding higher levels of visual-spatial reasoning, engagement with symbolic systems, and abstract thinking. Thus, technology has already played a silent role in enhancing intelligence.
How AI Might Amplify Intelligence Gains
AI is not just another technological milestone—it represents a paradigm shift that could fundamentally reshape intellectual development. One of AI's most powerful features is its ability to personalize learning at scale. AI can adapt educational content to each child's pace, strengths, and interests. Adaptive learning platforms, including intelligent tutoring systems, analyze student progress and adjust the difficulty and format in real time, making education more engaging and effective. This responsive feedback loop promotes deeper learning and greater motivation.
Another promise of AI is its ability to provide children with virtually limitless knowledge. With generative AI and natural language models, children can explore complex topics in a conversational format, which fosters deeper, curiosity-driven learning. Asking a chatbot to explain a scientific concept, solve a math problem, or compose a poem lowers barriers to self-directed inquiry and creativity.
Cognitive skill development is also likely to benefit. AI-enhanced environments, such as virtual labs and strategic games, provide simulation-based learning where children must apply reasoning, experimentation, and hypothesis testing. These digital experiences cultivate cognitive flexibility, systems thinking, and planning—many of the same capabilities highlighted by the Flynn effect relating to fluid intelligence.
Perhaps most importantly, AI presents unique opportunities to support neurodivergent learners. AI tools can be customized to address the needs of children with dyslexia, attention-deficit/hyperactivity disorder (ADHD), or autism, providing alternative modes of instruction and interaction that traditional classrooms may not accommodate. This could democratize access to cognitive development for children whom conventional education systems have historically underserved.
But Will AI Make Kids Smarter?
Despite its transformative potential, AI's impact on cognitive development isn't universally positive. There are valid concerns about unintended consequences, one being overreliance on technology. If children become passive consumers of AI outputs instead of active problem-solvers, their critical thinking skills may stagnate or decline. The ease with which AI provides answers may diminish the cognitive struggle necessary for building resilience and depth in learning.
Digital distraction is another challenge. The devices that deliver AI-powered learning also provide access to social media, gaming, and constant notifications. This multitasking environment can reduce attention span, increase cognitive overload, and impair working memory. Research has shown that overstimulated cognitive environments may hinder intellectual growth rather than support it (Dutton, van der Linden, & Lynn, 2016).
There is also the issue of socio-emotional development. AI, by its very nature, lacks emotional intelligence. While it can simulate conversation, it cannot provide empathy, connection, or moral guidance. If children spend significant time interacting with AI instead of humans, their ability to develop empathy, negotiate relationships, and collaborate may suffer—skills that are just as essential as IQ for navigating real-world challenges.
The "Negative Flynn Effect" and a Warning
Adding further complexity is evidence that the Flynn effect may be reversing in some parts of the world. Recent studies have documented declining average IQ scores in several developed countries (Dutton, van der Linden, & Lynn, 2016). Possible causes include changes in educational practices, increased screen time, and less time spent reading or engaging in unstructured play. This so-called "negative Flynn effect" serves as a cautionary tale. If AI is used primarily for consumption rather than exploration and creation, it may contribute to intellectual decline instead of advancement.
Guidance for Parents: Balance Is Key
Parents should adopt a mindful and structured approach to harness the benefits of AI while avoiding its pitfalls. Curating high-quality tools is essential; not all AI is educational. Parents must vet platforms for their pedagogical quality, ensuring they foster inquiry, creativity, and reasoning rather than rote memorization or passive consumption.
Fostering genuine human interaction is equally important. Encouraging conversations, cooperative problem-solving, and physical play helps children continue developing the social and emotional intelligence that AI cannot provide. Human connection remains the foundation of healthy development.
Parents should also closely monitor AI usage. Healthy screen time habits involve setting limits and ensuring balance. AI time should be complemented by offline activities like reading, spending time in nature, or engaging in unstructured play that fosters divergent thinking. Children should be encouraged to grapple with challenging problems rather than seek instant answers from AI.
Finally, teaching meta-learning—the ability to reflect on how one learns—is invaluable. Helping children understand their learning processes, strengths, and challenges promotes lifelong intellectual agility. This metacognitive awareness is the cornerstone of adaptive intelligence in an AI-driven world.
Final Thoughts
The tools of the future will shape not only how our children learn but also how they think. AI has tremendous potential to enhance intellectual development—but only if used wisely, with human values, relationships, and critical reasoning at the core. Intelligence is more than information—it is the thoughtful application of knowledge, the curiosity to explore, and the empathy to understand others. AI should be our children's ally, not their architect.
References
Ceci, S. J., & Williams, W. M. (2016). A qualitative synthesis of the Flynn effect. Journal of Cognitive Education and Psychology, 15(1), 8–19.
Dutton, E., van der Linden, D., & Lynn, R. (2016). The negative Flynn Effect: A systematic literature review. Intelligence, 59, 163–169.
Goldstein, S., & Naglieri, J. A. (Eds.). (2011). Handbook of Intelligence: Evolutionary Theory, Historical Perspectives, and Current Concepts. Springer Publishing Company.
Resing, W. C. M., & Tunteler, E. (2007). Children becoming more intelligent: Can the Flynn effect be generalized to other child intelligence tests? Journal of Cognitive Education and Psychology, 6(1), 41–68.