ZH reported, citing a May 21 report from China Daily.
The global artificial intelligence race is entering a new phase.
For the past two years, most attention has focused on large AI models, cloud infrastructure and the companies building the world’s most powerful chips. But a growing number of technology firms now believe the next major battlefield will not be the data center alone — it will be the devices people use every day.
That shift is becoming increasingly visible in China.
Chinese technology giant Lenovo recently announced a major expansion of its Tianxi AI ecosystem, pledging 1 trillion tokens of computing power alongside new incentives for developers and users. The initiative reflects a broader ambition that extends far beyond adding AI features to laptops or smartphones.
Lenovo is attempting to transform AI-enabled devices into a new computing platform.
The AI Industry Is Moving Beyond Chatbots
The first phase of the generative AI boom centered on foundation models.
Companies competed to build larger systems with stronger reasoning capabilities, while cloud providers invested heavily in AI servers and computing infrastructure. Consumers primarily interacted with AI through standalone chatbots and web-based assistants.
But the next stage of competition is beginning to focus on how AI integrates directly into operating systems, hardware and personal workflows.
Instead of launching AI through separate applications, technology companies increasingly want AI to become embedded into:
- PCs,
- smartphones,
- tablets,
- enterprise systems,
- and everyday digital interactions.
This transition could fundamentally reshape the personal computing industry.
Lenovo’s strategy reflects this broader industry evolution.
The company describes its Tianxi AI platform as designed for “AI-native hardware”, combining on-device intelligence, cloud computing and edge deployment into a unified ecosystem.
Its latest AI-enabled products reportedly meet China’s newly introduced L3 intelligence standard for AI terminals — currently the highest officially recognized level under the country’s new classification framework.
Under the system, AI devices are expected not only to respond to commands, but also to autonomously execute more complex tasks.
That represents an important conceptual shift:
AI is moving from tool to collaborator.
Hardware Is Being Reimagined Around AI
One of the most important implications of generative AI is that traditional hardware categories may no longer function the same way.
For decades, PCs and smartphones largely served as passive platforms for applications created by developers. AI changes that relationship.
Increasingly, devices themselves are becoming intelligent systems capable of:
- understanding user intent,
- managing workflows,
- generating content,
- translating languages,
- organizing knowledge,
- and coordinating across applications.
Lenovo executive Liu Jun compared traditional devices to “raw iron ore”, arguing that AI integration transforms them into something far more valuable.
The analogy reflects a growing belief inside the technology industry that AI could redefine the meaning of personal computing itself.
Rather than simply improving device performance, AI has the potential to create entirely new user experiences.
Functions such as:
- AI simultaneous interpretation,
- AI-generated notes,
- intelligent writing assistants,
- personalized knowledge bases,
- and AI vision systems
suggest that future devices may behave less like static tools and more like adaptive digital agents.
This is why major technology firms worldwide are racing to redesign both software and hardware architectures around AI-native experiences.
China Is Building an AI Device Ecosystem
Lenovo’s announcement also highlights a larger trend within China’s technology sector.
China’s AI competition is no longer focused solely on building large models. Increasingly, companies are shifting toward ecosystem construction:
- AI operating systems,
- AI hardware,
- developer platforms,
- edge computing,
- and consumer AI deployment.
This transition may prove strategically important.
While large AI models attract global attention, mass adoption ultimately depends on how effectively AI integrates into consumer and enterprise devices. The companies controlling those interfaces could gain enormous influence over future computing ecosystems.
China appears determined to compete aggressively in this space.
The country recently introduced national standards for AI terminal intelligence grading, creating a framework that could accelerate adoption of AI-native devices across the industry.
The emergence of such standards also signals growing policy support for embedding AI into broader industrial and consumer infrastructure.
In many ways, China is attempting to avoid repeating earlier technology cycles in which foreign operating systems and software ecosystems dominated global markets.
Instead, Chinese firms are increasingly trying to establish domestic AI ecosystems spanning:
- hardware,
- operating systems,
- cloud services,
- and developer communities.
The Future of Computing May Be Hybrid
Another important feature of Lenovo’s strategy is its emphasis on hybrid deployment.
Rather than relying entirely on cloud-based AI, the company promotes a “device-edge-cloud” architecture designed to distribute AI workloads across multiple layers of computing infrastructure.
This reflects a growing industry consensus that the future of AI may not belong exclusively to centralized cloud systems.
On-device AI offers several advantages:
- lower latency,
- faster response times,
- improved privacy,
- reduced bandwidth costs,
- and more personalized user experiences.
As AI models become more efficient, increasingly powerful capabilities can operate directly on personal devices rather than exclusively in remote data centers.
This could create a major shift in the economics of AI deployment.
Instead of AI being concentrated inside a handful of hyperscale cloud platforms, intelligence could become distributed across billions of connected devices.
The Next Computing Platform Is Still Being Defined
The broader significance of Lenovo’s push lies in what it reveals about the future direction of the technology industry.
The AI race is no longer only about who builds the most advanced model.
It is increasingly about:
- who controls the interface,
- who owns the ecosystem,
- and who defines the next generation of computing platforms.
That competition is now expanding into devices, operating systems and user environments.
Just as smartphones reshaped the technology landscape over the past two decades, AI-native devices could redefine how people interact with computing in the years ahead.
The outcome remains uncertain.
But one thing is becoming increasingly clear:
the future of AI may depend as much on intelligent devices as on the models powering them.