Are AI chatbots bad for young students?

Highlights

- Today we are exploring a really impactful piece from Natasha Singer in The New York Times, published just recently on May 27th, 2026.
- Now, as I read this, my mind immediately jumps to a few places.
- If AI allows students to simply bypass the thinking, the productive struggle that leads to real learning, then we have a problem.
- For those grades, screens might genuinely be a distraction from the fundamental work of building motor skills, social emotional connections, and foundational literacy through physical interaction.
- Weingarten states they are negotiating safety and privacy standards and are "willing to walk away from the funding" if those standards aren't met.

Transcript

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If this episode makes you think, please let us know in the comments and support us by subscribing and leaving a review. Thank you. Today we are exploring a really impactful piece from Natasha Singer in the New York Times, published just recently on May 27, 2026. The headline really grabs you. Teachers Union urges schools to curb AI chatbots and screen time. It details a strong stance taken by the American Federation of Teachers, led by their president, Randy Weingarten, at the National Press Club in Washington. Now the core message from the AFT is pretty clear. They're recommending no screens at all for students in second grade or younger, and crucially, no AI chatbots for students in elementary school. It's a call to action, part of a new campaign to put active, hands-on learning and human relationships back at the absolute centre of classrooms, consciously dialing back the reliance on digital devices in schools.

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Weingarten voiced serious concerns, saying that young people are drowning in tech, and if we don't address this from an education perspective, we risk losing a generation of kids. She was apparently galvanized by Jonathan Haidt's work on how screens can really hook children, impacting their socialization and critical thinking. It's a pretty stark warning, isn't it? The article goes on to mention that this isn't an isolated sentiment. The Los Angeles Unified School District, a massive system, is already moving to eliminate school issued devices for their younger students and introduce screen time limits across all grades. And there are parents and health groups pushing for a five-year pause on generative AI in schools. Ms. Weingarten's plan is called a devices down, eyes up, hands-on strategy, and she argues that in this AI era, skills like problem solving, critical thinking, and applying ethics are more important than ever. But she notes, students can easily turn to an AI chatbot for an effortless answer instead of grappling with a challenge. Now as I read this, my mind immediately jumps to a few places. First, let's acknowledge the genuine, deeply held concerns here. The focus on hands-on learning, human relationships, and the fear of an effortless answer is something every educator, every school leader should absolutely resonate with. These are the very things we strive to protect and amplify in education. Machines can compute, but they cannot wonder, they cannot care, they cannot truly build the kind of rich, complex relationships that define a healthy learning environment. These are the human domains we must preserve and protect. And I think Ms. Weingarten is absolutely right to highlight their irreplaceable value. But here's where we need to hold the complexity, right? My philosophy has always been about evolution, not revolution, and about enhancement, not replacement. When we hear calls to curb or even ban AI, especially for younger students, it's vital to ask why those concerns are surfacing and what educational purpose we're trying to serve. Let's pick up on that idea of the effortless answer. This is a huge valid concern. If AI allows students to simply bypass the thinking, the productive struggle that leads to real learning, then we have a problem. But is the problem with AI itself or with how we design our learning experiences and assessments? For me, the real value is not in what the machine produces, but in how the student responds. If a task can be completed by simply asking an AI chatbot, then we haven't designed learning that truly demands depth, care, and imagination. This is where the idea of cognitive stretch comes in. We need to design tasks that require students to apply their unique context, perspective and judgment, something an AI cannot do. We need to move beyond just assessing a final product and look at the process, perhaps even incorporating AI interaction logs and definitely requiring performance, like a live demonstration of understanding. Think about a year eight geography lesson. If the task is just to list the capitals of European countries, yes, AI makes that effortless. But if the task is to analyze the geopolitical implications of shifting borders, using data from various sources, and then debate potential future scenarios, well that's where the students' critical thinking, judgment and ability to think AI, not just use it, becomes paramount. That's teaching students not to outsmart machines, but to outthink them. The call for no screens for the very younger students, pre-K through second grade, also resonates with the purpose over technology pillar. Sometimes the best tool for the job is no tool at all. Developmental psychology tells us that hands-on multi-sensory experiences are crucial for early childhood development. For those grades, screens might genuinely be a distraction from the fundamental work of building motor skills, social emotional connections, and foundational literacy through physical interaction. In those cases, start with why means recognizing that technology might not serve the core purpose. However, a blanket ban for all elementary school students on AI chatbots also means potentially losing out on AI's ability to act as an equalizer. What about students with individualized education programs who could benefit from a personalized AI tutor that adapts to their pace? What about multilingual learners who could use an AI tool to translate complex texts or practice conversational English in a low stakes environment? These are the students in the middle 80%. Often not the high flyers, not the intervention cases, but the vast majority who can really benefit from differentiated support that teachers, even the most dedicated ones, simply don't have the time to provide for every single student. AI is helping us hold the complexity, so we have capacity for creativity. Taking away that potential support could inadvertently widen gaps rather than bridge them. Accessibility, after all, isn't an afterthought but a foundation. It's fascinating that the AFT, while urging these curbs, also has a national academy for AI instruction for teachers, backed by $23 million from Microsoft, OpenAI, and Anthropic. This isn't a simple rejection, it's a complex, multifaceted approach. Ms. Weingarten states they are negotiating safety and privacy standards and are willing to walk away from the funding if those standards aren't met. This is a critical point. My core ethical non-negotiables are data privacy, bias awareness, transparency, and human accountability for AI-assisted decisions. If we're going to use these tools, we absolutely need robust standards. The fact that the union is actively working on these is a sign of engagement, not just resistance. It speaks to the idea that teachers, often labelled as resistant to change, actually become the best drivers of innovation when they're given the time, space, and a voice in shaping the future. This tension between embracing the potential and mitigating the risks is exactly what school leaders need to navigate. It's about auditing tools through hands-on pilots, not just marketing claims, and anchoring AI to exist in friction points in teacher workflows, not novelty. It's about customizing for your institutional context and empowering teachers as change agents. So when I read this article, I don't hear a simple no to AI. I hear a powerful, deeply human call for intentionality. It's a reminder to keep the human in the loop, to outsource the doing, not the thinking, and to always always start with why. It's an invitation to design learning that cannot be faked because it demands depth, care, and imagination. Rather than simply shutting down tools that, if used wisely, could profoundly enhance the learning journey for countless students and give teachers back invaluable time and energy. That's all for today. Thanks for listening.