How AI Toys Work: From Microphone to Cloud and Back

Unzip most AI plush toys and you’ll find something unglamorous: a small speaker module with a microphone, a battery, a button and a Wi-Fi chip. No brain. The brain is somewhere else, usually in a data center you’ll never see.

That is the core of how AI toys work, and it is the single most useful fact for a parent. The toy is a terminal. Your child’s words travel out of the house, get converted from sound to text and back again by several pieces of software, and often get saved along the way. Each step explains something you’ll notice in daily use: the pause before it answers, the times it mishears, the reason it “remembers,” and where privacy risks come from. Here is the full path, stage by stage.

Key Takeaways

• Most AI toys run a pipeline: wake word or button, speech-to-text, a large language model (chatbot), safety filtering, text-to-speech, then playback. Almost all of it happens in the cloud.
• How a toy starts listening varies: U.S. PIRG’s 2025 testing found one toy using push-to-talk, one using a wake word that recorded for 10 seconds after speech stopped, and one that “listens, period.”
• Speech recognition is where many misunderstandings start. In a University of Washington study, a child’s “killing Grok” was heard as “killing rocks.”
• At least four of five toys PIRG bought appeared to rely in part on OpenAI’s models, which OpenAI says aren’t for users under 13.
• Common Sense Media found AI toys collect voice recordings, transcripts, usage patterns, emotional tone analysis and behavioral data, and some share it with third parties.

The Hardware: What’s Actually Inside the Toy

A talking AI toy contains a few standard parts: one or more microphones, a small speaker, a microcontroller (a tiny computer that runs the toy’s basic software), a Wi-Fi radio, a battery and usually a button. Some, like Miko, add a screen and wheels. PIRG describes Curio’s Grok as “a stuffed rocket with a removable speaker zipped inside,” and FoloToy’s Kumma as a teddy bear with a speaker zipped inside.

That is the engineering choice that shapes everything else. Running a large language model requires far more computing power and memory than fits in a battery-powered plush, so the toy sends audio to the company’s servers and waits for a reply.

How AI Toys Work, Step by Step

Step 1: Deciding when to listen

There are three common designs, all found in PIRG’s AI toy testing:

• Push-to-talk: the child holds a button while speaking. Nothing is recorded otherwise.
• Wake word: a small detector inside the toy listens continuously for one phrase, like the name of the toy. When it hears it, the toy starts recording and sending. PIRG found one such toy recorded for 10 seconds after the child stopped talking.
• Always listening: the toy records whenever it’s on. PIRG’s researchers were surprised when one toy “started contributing to a nearby conversation.”

A wake-word detector is a tiny speech model that runs on the toy itself and only knows how to answer one question: did I just hear my name? It makes mistakes in both directions, which is why smart speakers sometimes wake up to TV dialogue.

Step 2: Speech-to-text

The recorded audio is compressed and sent over Wi-Fi to a speech recognition service, which converts it into text. This is often a cloud service from a large provider. When NBC News examined Miko’s exposed database in February 2026, it found folders labeled “GOOGLE” and “AZURE” (the names of two major cloud platforms) with language and dialect subfolders, which suggests the company used more than one cloud provider for its toy’s speech.

This is the stage where children are most often misunderstood. Young kids speak with unusual pronunciation, grammar and pacing. In the University of Washington study of children aged 6 to 11 with AI toys, a toy only shut off for the exact phrase “go to sleep,” missing “go to bed,” and heard a boy’s “killing Grok” as “killing rocks,” replying with facts about rocks.

Step 3: The chatbot writes a reply

The transcript goes to a large language model along with hidden instructions from the toy company (a system prompt, such as “You are a friendly rocket for children”), recent conversation history and sometimes stored facts about your child. The model predicts a reply word by word.

PIRG found at least four of the five toys it bought “seem to rely in part on some version of OpenAI’s AI models.” Because these models use a degree of randomness, the toy “won’t typically respond the same way twice.”

Step 4: Safety filtering

Most toy makers add safety layers: instructions in the system prompt, the model’s own safety training, and sometimes a separate filter that checks replies. These help, but they aren’t absolute. PIRG found guardrails on two toys “started to break down over the course of longer interactions.” We cover that failure in detail in the AI teddy bear and why toy guardrails break.

Step 5: Text-to-speech and playback

The reply text goes to a text-to-speech system, which generates the toy’s voice, and the audio streams back to the speaker. This is the same three-part design OpenAI and MIT researchers described for ChatGPT’s earlier voice mode: it “uses an automated speech recognition system to transcribe user speech to text, obtains a response from a text-based LLM, and converts the text response back to audio.” Newer systems can use a single model that takes audio in and produces audio out, skipping the text steps.

Each hop (toy to server, speech-to-text, model, text-to-speech, back to toy) adds delay, which is why AI toys often pause before answering and struggle when kids interrupt. Smart speakers use a similar chain; see how voice AI like Alexa and Siri works.

Step 6: Storage

Here is the step parents rarely see. Transcripts, and sometimes audio, are saved so the toy can remember your child, so parents can review conversations in an app, and so the company can improve its product. Common Sense Media’s risk assessment found AI toys collect voice recordings, transcripts, usage patterns, emotional tone analysis and behavioral data, that some share data with third parties or use it to train AI models, and that even maximum privacy settings still require significant collection.

Storage is also where leaks happen. In early 2026, a web console for Bondu’s AI plush let anyone with a Gmail account read about 50,000 children’s chats, Malwarebytes reported. Our explainer on the AI toy data leak breaks down how.

How to Teach Your Kid How AI Toys Work

Ages 5–8: The relay-race robot

You need three people (or two and a stuffed animal). One is the “Ear,” one the “Brain,” one the “Mouth.” Your child says a sentence to the Ear, who writes down what they heard on paper, possibly getting a word wrong on purpose. The Ear passes the paper to the Brain, who writes a reply. The Brain passes it to the Mouth, who reads it aloud in a silly voice. Then explain: a talking toy works like this, except the Ear and Brain live in a computer far away, and the paper sometimes gets saved in a drawer.

Ages 9–12: Test a wake word

Using any voice assistant in your house, have your child try near-miss words. If the assistant is called “Alexa,” try “Alexis,” “election,” “a Lexus.” Record which ones wake it up. Then time the pause between finishing a question and hearing the answer. Talk about why: a small detector in the device listens only for its name, and everything after that goes to the internet and back.

Ages 13+: Rebuild the pipeline with free tools

Have your teen use phone dictation (built into most phones) to transcribe themselves speaking fast, whispering, and imitating a little kid. Compare the transcripts with what they actually said. Then paste a transcript into a general chatbot after the instruction “You are a teddy bear talking to a 5-year-old. Keep answers short and kind.” Have a 10-minute conversation and see whether the persona holds. Finish by drawing the full data path and marking every place the words might be stored.

The question to ask: “When you talk to a talking toy, where do your words go before it answers, and which of those places might keep them?”

The Talking-Toy Pipeline at a Glance

Stage	What happens	Where it runs	Data created	What can go wrong
Listening trigger	Button, wake word or always-on	On the toy	Audio buffer	Always-on toys capture family talk
Upload	Audio compressed, sent over Wi-Fi	Home network to internet	Audio in transit	Exposed traffic or endpoints
Speech-to-text	Audio converted to words	Cloud speech service	Transcript	Mishears kids (“killing rocks”)
Chatbot	Reply generated from prompt, history, memory	Cloud LLM, often from another company	Conversation log	Off-topic or unsafe replies; randomness
Safety layer	Instructions, training, filters	Cloud	Flags, sometimes logs	Weakens in long chats
Text-to-speech	Reply turned into a voice	Cloud	Generated audio	Delay; talks over kids
Storage and console	Saved for memory, parents, product use	Company database, app	Transcripts, profile, analytics	Leaks (Bondu), long retention

What to Do With This Knowledge at Home

Choose the listening design on purpose

Push-to-talk is the most private design, wake word is in the middle, and always-on is the least private. Check the toy’s documentation or ask the seller before buying.

Turn off what isn’t needed

If the toy has memory, personalization or “emotion” features, decide whether they add value. Every extra feature means more stored data. Many toys work, in a reduced way, without them.

Keep the toy on a separate network if you can

Many home routers support a guest Wi-Fi network. Putting connected toys on it limits what they can reach inside your home network. It doesn’t change what the toy sends to its company.

Talk to your child about the “faraway ear”

Kids who know their words leave the room make different choices about what they tell a toy. You don’t need to scare them. “The toy sends what you say to a computer at the company” is enough.

What not to do

Don’t assume “screen-free” means “data-free.” AI toys are marketed as alternatives to screens, but they are connected computers with microphones. The privacy questions are the same as for a phone, and sometimes harder to inspect.

What to Watch For Over the Next 3 Months

• Week 4: Find out which listening design your child’s toy uses. Check the parent app for stored transcripts and delete any you don’t want kept.
• Month 2 red flags: The toy answers when nobody addressed it, the app shows conversations you didn’t expect, or the company updates its privacy policy to add sharing. Each is a reason to restrict cloud features.
• Month 3 self-check: Can your child explain, in one or two sentences, where their words go when they talk to the toy? If yes, they understand the most important part.

Frequently Asked Questions

Do AI toys work without Wi-Fi?

Most do not, at least not their conversation features. The chatbot and speech recognition typically run on company servers, so the toy needs an internet connection to talk. Some may keep basic functions, like songs, working offline; check the manual.

Is the AI toy always listening?

It depends on the design. PIRG’s 2025 testing found one toy using push-to-talk, one using a wake word, and one that listened continuously. Check the manual or the company’s privacy policy, and prefer push-to-talk if privacy matters to you.

Where do the recordings go?

Usually to the toy company’s servers and, for speech or chatbot processing, to cloud providers it uses. Transcripts and sometimes audio are stored. Common Sense Media found some toys share data with third parties or use it to train AI models.

Why does the AI toy misunderstand my child?

Young children’s pronunciation and phrasing are hard for speech recognition, a problem Cambridge researcher Nomisha Kurian has highlighted for chatbots and kids. Researchers have documented AI toys mishearing kids and missing everyday variations in commands. Errors at that first step lead to odd replies later.

Is an AI toy the same as ChatGPT?

Often it is closely related. PIRG found most AI toys it tested appeared to rely in part on OpenAI models, wrapped with a toy company’s own instructions and voice. The toy adds a persona and a body; the language model underneath may be a general-purpose one.

---

About the author

Ricky Flores is the founder of HiWave Makers and an electrical engineer with 15+ years of experience building consumer technology at Apple, Samsung, and Texas Instruments. He writes about how kids learn to build, think, and create in a tech-saturated world. Read more at hiwavemakers.com.

---

Sources

1. U.S. PIRG Education Fund. (2025). “AI comes to playtime: Artificial companions, real risks.” https://pirg.org/edfund/resources/ai-toys/
2. Common Sense Media. (2026, January 22). “AI Toys Risk Assessment.” https://institute.commonsensemedia.org/risk-assessments/ai-toys
3. Perlo, J., & Collier, K. (2026, February 12). “AI toy maker exposed thousands of responses to children, senators say.” NBC News. https://www.nbcnews.com/tech/security/ai-toy-maker-exposed-thousands-responses-kids-senators-miko-rcna258326
4. Arntz, P. (2026, February 3). “An AI plush toy exposed thousands of private chats with children.” Malwarebytes. https://www.malwarebytes.com/blog/news/2026/02/an-ai-plush-toy-exposed-thousands-of-private-chats-with-children
5. Phang, J., Lampe, M., Ahmad, L., Agarwal, S., Fang, C. M., et al. (2025). “Investigating Affective Use and Emotional Well-being on ChatGPT.” OpenAI and MIT Media Lab. https://cdn.openai.com/papers/15987609-5f71-433c-9972-e91131f399a1/openai-affective-use-study.pdf
6. Dangol, A., et al. (2026). “Toys that listen, talk, and play: Understanding Children’s Sensemaking and Interactions with AI Toys.” arXiv preprint (not peer-reviewed). https://arxiv.org/abs/2604.02629
7. University of Cambridge. (2024, July 15). “AI Chatbots have shown they have an ‘empathy gap’ that children are likely to miss.” https://www.cam.ac.uk/research/news/ai-chatbots-have-shown-they-have-an-empathy-gap-that-children-are-likely-to-miss
8. Federal Trade Commission. (2023, May 31). “FTC and DOJ Charge Amazon with Violating Children’s Privacy Law by Keeping Kids’ Alexa Voice Recordings Forever.” https://www.ftc.gov/news-events/news/press-releases/2023/05/ftc-doj-charge-amazon-violating-childrens-privacy-law-keeping-kids-alexa-voice-recordings-forever