MIT Technology Review, in collaboration with Anyway Magazine, published the results of a series of interviews with children and teens aged 10 to 18 from five U.S. states — contrary to researchers' expectations, the generation that grew up with AI is showing not excitement or horror, but pragmatic indifference and a demand to maintain control over the technology.

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What happened

Researchers conducted a series of in-depth interviews with children and teens from New York, California, Ohio, Michigan, and Oregon. Participants expressed indifference toward AI — some of the most common responses were "bruh" and "meh." Instead of discussing cheating and deepfakes, which researchers expected to hear about, teens raised environmental concerns over data center water consumption, as well as fears of losing creativity and critical thinking. A Pew Research Center survey conducted in February 2026 among 1,458 teens aged 13-17 confirmed these findings with quantitative data: 57% used chatbots to search for information, 54% for school assignments, 47% for entertainment, and 12% for emotional support.

Context

This study is not a controlled experiment with a randomized sample, but a qualitative sociological piece documenting the real perception of AI by a generation that grew up with constant access to LLMs. Teens believe that AI will surpass humans in learning skills, but at the same time express doubts about its effectiveness in critical domains — medicine and hiring. They use AI four times more often for harmless tasks than for potentially dangerous ones, which reflects a pragmatic understanding of the technology's limits: models are good enough for everyday tasks, but not reliable enough to replace expertise.

Why this matters for the industry

For AI product developers, the study sends a clear signal: young audiences reject full automation. Teens want to "keep their hands on the wheel" — use AI as a tool, not allow it to make decisions on their behalf. This means that Gen Alpha product architecture should prioritize user-in-the-loop design, transparency, and explainability of each AI step. Products with a "copilot with rollback" pattern and explicit user control will have an advantage over solutions positioning themselves as autonomous. The environmental aspect — concern over data center water consumption — indicates that the next generation of users will demand not only model-level but also infrastructure-level sustainability.

Why this matters for users

The article documents real AI usage practices among teens: 16-year-old Rami uses the free version of Claude to fine-tune his computer, and 18-year-old Daniel built the Next Voters platform based on multiple AI agents to simplify government documents. These examples show that teens are capable of creating complex multi-agent workflows to solve specific tasks. The key takeaway for parents and educators: children use AI pragmatically, not as a "magic button," but as a working tool, while maintaining a demand for their own decisions and control.

What is still unknown / limitations

The study does not include a randomized sample — interviews were conducted with a limited group of teens from five U.S. states, which limits the generalizability of the findings. Quotes like "bruh" and "meh" convey the authors' editorial framing, not a measurable metric of indifference. The study does not evaluate the technical characteristics of models — it is a qualitative sociological piece, not a technical benchmark. Pew Research data relies on teens' self-reports, which may not correspond to actual usage patterns.

Sources

Author

Look at AI, editorial team