AI Companions and Teenagers: What Should Adults Pay Attention To?

A chatbot can answer immediately, remember details within a conversation, and respond in a warm tone. Those qualities can make it feel less like a search tool and more like a companion. Adults should pay attention not simply to whether teenagers use chatbots, but to what happens when conversational ease is mistaken for understanding, when personal disclosure becomes routine, or when a fluent answer is treated as sound judgment. Evidence from the United States shows that chatbot use is already common among teenagers. That makes trust, privacy, and the limits of a tool important subjects for families, schools, and regulators.

Pew Research Center’s 2025 survey of U.S. teens ages 13 to 17 found that 64% say they have used an AI chatbot, while 36% say they have not; about three in ten report using chatbots daily. These figures establish that chatbots are not a marginal curiosity in teen life. They do not show that every user has an AI companion, uses one for emotional support, or experiences harm. But widespread and recurring use makes it reasonable for adults to ask what kinds of conversations teenagers are having and what expectations the products encourage. Usage is a reason to pay attention, not proof of a crisis.

The same 2025 Pew survey finds differences in reported use: roughly seven in ten Black and Hispanic teens say they use chatbots, compared with 58% of White teens. That pattern matters because adults should not assume that a single conversation about AI will reach every young person equally. Schools and families need to make guidance accessible across communities and ask teenagers what tools they actually use, rather than treating one group’s experience as universal. The figures do not explain why these differences exist, nor do they measure the quality of anyone’s experience. They support inclusive attention, not assumptions about individual teens.

Trust is a separate concern from frequency. A chatbot can produce confident, personal-sounding language without possessing human understanding, responsibility, or reliable judgment. The practical risk is that a teenager may give its response more authority than it deserves, particularly when the answer sounds sympathetic or certain. Adults can help by asking what the tool knows, how the teenager checked an important claim, and whether a trusted person should be involved. This approach does not require dismissing every useful exchange. It teaches a crucial distinction: conversational skill can make a tool persuasive, but persuasion is not evidence that it understands a person or can take responsibility for advice.

Privacy deserves attention because companion-like use can invite disclosure. A teenager might enter identifying details or private concerns into a chat, perhaps without considering how the service handles that information. The Federal Trade Commission’s Children’s Online Privacy Protection Rule, or COPPA, is a U.S. regulatory framework whose materials include a final rule addressing the scope of the rule and protections for children’s personal information. That makes child privacy an established regulatory concern, not merely a matter of personal preference. Still, the existence of COPPA does not by itself establish that every chatbot is covered in the same way or that every disclosure is protected. Adults should check a service’s actual practices and applicable rules.

NIST’s AI Risk Management Framework offers another useful lens: the institute describes its guidance as intended to cultivate trust in AI while promoting innovation and mitigating risk, and as voluntary. This framing helps explain why trust should be examined rather than presumed. A teenager’s confidence in a chatbot is not the same as a demonstrated system quality, and a company’s assurance is not a substitute for examining how a tool works in use. The framework’s voluntary character is also a limit: guidance can shape responsible practice, but it is not itself a guarantee that each product will meet a particular standard.

There is a serious counterargument: chatbots can be useful, and broad warnings may frighten teenagers or discourage them from exploring a technology that is already part of daily life. Pew’s 2025 findings support part of that caution: many teens use chatbots, but the survey figures alone do not establish that use is harmful. That is a reason to avoid blanket claims, not to ignore privacy or trust. Adults can distinguish low-stakes uses from consequential ones, discuss how to verify answers, and encourage young people to seek human help when a situation calls for care or accountability. Balanced guidance preserves possible benefits while addressing real questions.

The most useful adult response is therefore neither panic nor uncritical acceptance. Ask teenagers which chatbots they use and what they ask them; discuss the difference between a fluent reply and a well-grounded one; and review what personal information a service collects and how it handles it. Schools can teach verification and privacy habits without presenting every chatbot interaction as dangerous. Regulators and developers should also treat children’s privacy and trustworthy design as responsibilities, not optional features. The 2025 survey shows that teen use is common, but it does not settle what every interaction means. Paying attention means asking careful questions, setting proportionate boundaries, and leaving room for evidence to refine those boundaries.

How the explanation works

The essay moves from documented use to three distinct questions: trust, privacy, and system-level responsibility. It dates Pew’s usage statistics to its 2025 survey and uses them to establish reach, while limiting what they can prove about effects. It then connects U.S. institutions to specific issues without treating a regulation or voluntary framework as a guarantee. The counterargument—that use is not itself evidence of harm—narrows the conclusion: adults should guide and evaluate use rather than condemn it wholesale.