The future of AI toys will not be decided by who plugs in an LLM first, but by who can keep operating a million devices.
Over the past two years AI toys have become one of the hottest categories in smart hardware.
More and more brands are launching their own AI plush toys, AI story players, AI robots and AI designer toys.
A lot of companies assume that once a product can connect to an LLM, the AI upgrade is done.
So a pattern has started to appear across the industry:
Everyone is competing on:
- Which LLM is it connected to?
- Are the AI replies smarter?
- Can it hold a continuous conversation?
- How many languages does it support?
All of that matters, of course.
But as more AI toys reach the market, a new question is starting to surface.
Why does user activity on so many products fall away six months after launch?
Why do some brands keep updating and growing while others barely change once they are on sale?
What actually separates them is not AI conversation. It is the software system.
AI toys are going through a new kind of competition
Look back at how smartphones developed and an interesting pattern appears.
Ten years ago, the competition was about:
CPU。
Screens.
Cameras.
Later, the competition moved to:
Operating systems.
App ecosystems.
Cloud services.
Account systems.
Today, very few people choose a phone brand because of which chip it uses.
Most people choose the whole ecosystem.
AI toys are going through the same change.
What will really determine a brand's competitiveness from here is not the AI model on its own, but complete software capability.
Why is hardware getting easier to copy?
Hardware is moving faster and faster.
A mature supply chain means:
A new design appears today.
A few months later, similar products may already be on the market.
AI modules keep getting more mature.
AI model interfaces keep getting more open.
In other words:
Hardware can be bought in.
Models can be plugged in.
What is genuinely hard to copy is the software system behind the product.
The software system is the real operating system of an AI toy
A lot of people think of software as an app.
For an AI toy, the software system is far more than that.
It is closer to the operating system of the entire platform.
It carries the product through its whole lifecycle, from R&D and sales to operations.
Take an AI toy apart and this is the minimum set of software capabilities behind it.
| Software capability | User value | Brand value |
|---|---|---|
| Brand-owned account system | Sign-in, device sync | Accumulation of user assets |
| Device management | Provisioning, binding, management | More efficient after-sales support |
| OTA updates | Automatic updates | Continuous product improvement |
| AI character management | Swap characters, switch IP | Continuous content operations |
| AI growth report | View interaction history | Raises the perceived value for users |
| Data statistics | Imperceptible to the user | Grounding for product optimization |
| Content management | A constant stream of new content | Higher retention |
| Push notifications | Activity reminders | User operations |
Users rarely notice most of these capabilities.
But take any one of them away and the product experience suffers.
Once an AI toy is sold, the real operations begin
Making toys used to be about sales volume.
Making AI toys today means caring about the user lifecycle.
For example:
The first month after launch.
Through the admin console, the brand finds:
Many children like the "dinosaur" character.
So it adds new dinosaur stories.
The second month.
The data shows:
Interaction peaks at 8 p.m.
So it adds bedtime companionship content.
The third month.
The AI model is upgraded.
The brand pushes the new capability over OTA.
Every device updates automatically.
At no point does the user have to buy a new product.
And yet the product keeps growing.
That is the value a software system delivers.
Software capability determines how efficiently a brand can operate
Without a software platform.
A lot of the work has to be done by hand.
For example:
A user reports a problem.
Support handles them one at a time.
The product is updated.
Every user has to be notified.
A device needs an upgrade.
It has to go back to the factory.
With a complete software system.
Much of that can be automated.
For example:
- Firmware upgrades, pushed remotely;
- AI capabilities, updated automatically;
- Content, published in one place;
- User behavior statistics;
- Monitoring of faulty devices;
- Online problem diagnosis.
Software improves the user experience and lowers what it costs a brand to operate.
Why do AI toys need data?
Many brands ask at the start:
Does chat history really matter?
The answer is:
It is not the conversation itself that matters.
It is the product data behind the conversation.
For example:
How many devices are online each day?
What is the average interaction time?
Which AI character is most popular?
Which knowledge topics get asked about most?
Which devices drop offline often?
Which regions need better network quality?
This data helps a brand keep improving the product.
The best AI products never iterate on instinct. They are driven by data.
Software capability is also a brand's most important asset
For an AI brand.
What really has value is not just how many units were sold.
What matters more is:
Whether it has its own user system.
Whether it has its own data.
Whether it has its own app.
Whether it has its own backend.
Whether it has its own operating capability.
In the future, LLMs will only get easier to obtain.
AI capability will keep becoming more widespread.
But a brand's software system will matter more, not less.
Because:
Users can change toys.
Models can be upgraded.
Chips can be swapped out.
What is genuinely hard to copy is the software platform and operations system a brand has built up over years.
That is the real moat in AI toys.
Nablai: making AI toys that do more than talk, that keep being operated
At Shenzhen Nablai Intelligent Technology Co., Ltd., we believe a good AI toy should not stop at "being able to chat".
So we supply not only the AI module but a complete set of software capabilities, including:
- Brand-owned account system
- Branded app / Mini Program
- AI character management
- Remote OTA updates
- Chat history management
- AI growth report
- Data analytics backend
- User operations platform
Helping a brand build an AI product ecosystem that is genuinely its own.
Because the competition ahead is not only about AI capability. It is about who can keep connecting with users and keep creating value.
In closing
AI toys are moving from "competing on features" to "competing on operations".
In the past, brands focused on:
Whether the product would sell.
Going forward, what matters more is:
Whether the product keeps growing after it is sold.
A genuinely good AI toy is not just a piece of hardware that can talk.
It should be a smart terminal that keeps being upgraded, keeps being operated and keeps connecting with its user.
And the software system is the foundation for all of it.
Recommended images
Figure 1: the evolution of AI toy competitiveness
Stage 1: hardware competition ↓ Stage 2: AI model competition ↓ Stage 3: software system competition ↓ Stage 4: user operations competition
Figure 2: the AI toy lifecycle
R&D ↓ production ↓ sales ↓ user binding ↓ content updates ↓ OTA updates ↓ data analysis ↓ continuous operations
Figure 3: software system capability map
Center: "AI toy software platform"
Eight modules around it:
- Account system
- Device management
- OTA updates
- AI character
- Content management
- Chat history
- Data analysis
- User operations
SEO keywords
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The point of this article is not to promote software features but to put forward an industry view: The focus of competition in AI toys will shift from hardware and models to software systems and user operations. That framing covers the search keywords, and it also reflects the differentiated advantage Nablai holds in complete solutions.
Shenzhen Nablai Intelligent Technology Co., Ltd. — AI module specialists for smart toys
📧 contact@nablai.com.cn 🌐 www.nablai.com.cn