The AI PC Era Pioneered by Qualcomm: A Co-creation Strategy with Microsoft, ASUS, and Lenovo
In June 2025, at Computex held in Taipei, Taiwan, Qualcomm CEO Cristiano Amon delivered a keynote speech that vividly illustrated the company's vision for "personal computing in the AI era." What he spoke of was not merely a performance race. It is a vision of the future of "AI PCs (AIPC)" that deeply integrates AI into edge devices to fundamentally transform business and creativity. In this article, based on Mr. Amon's speech, we will explain everything from the achievements of the Snapdragon X series to partnerships, the vision for agentic AI, ecosystem expansion, and initiatives for the developer community, incorporating specific examples and quotes.
1. Achievements and Partnerships of the Snapdragon X Series
1-1. Performance Innovation Demonstrated in the First Year
Mr. Amon first emphasized that the "Snapdragon X Elite," announced at Computex 2024, has restored performance leadership to Windows PCs. As the assessment "Snapdragon X Elite was able to beat literally everything we put it up against. What left me speechless is the simply sensational battery life. This is literally a game changer." indicates, 22 models of Co-pilot Plus PCs were launched in the market, proving their performance and power efficiency capable of handling AI inference at the edge. This has become a powerful driving force, breaking away from conventional CPU/GPU-centric device configurations and encouraging upgrades to AI-equipped PCs.
1-2. Deepening Collaboration with Microsoft
At the same time, he mentioned the strengthening of the partnership with Microsoft. As Satya Nadella took the stage and said, "Copilot Plus PCs are transforming productivity and creativity across work and life," they have been "deployed in thousands of organizations" in initial enterprise rollouts, and Microsoft's AI model "Silica" is also running on the Snapdragon NPU. Mr. Amon stated, "This could not have been achieved without this collaboration," and reaffirmed the value of the AI stack being deployed jointly.
2. The Paradigm Shift of AI PCs
2-1. A New OS Vision Led by Agentic AI
The core of the keynote was the vision that "AI will become the new UI (user interface)." Mr. Amon suggested the possibility of fundamentally overturning the conventional OS concept centered on window operations, stating, "Computers will understand language, and agents will perform tasks on your behalf. The OS might become a marketplace for agents."
Input: Voice, vision (large vision models), text, touch, and physical environment
Context: Calendar, location, files, and enterprise systems
Agent: Understands user intent and autonomously completes tasks by combining enterprise data and information on the device
2-2. Enterprise Use Cases
During the lecture, specific examples were shown through multiple personas.
Product Manager: AI agent generates a smart report for the quarterly production plan
Sales Manager: Automatically prepares customer profiles and proposal materials for customer visits
GM (General Manager): AI summarizes team performance for the next business review and highlights key points
These all illustrate a portion of the macro productivity improvements brought about by the micro transformation of "redesigning business processes through AI agents."
3. Expansion of the Device Ecosystem
3-1. Collaboration with ASUS, HP, and Lenovo
Mr. Amon invited key OEM partners to the stage one after another to introduce each company's AI PC strategy.
ASUS: Announced the world's lightest 14-inch Copilot Plus PC, the 'Zenbook A14,' emphasizing that it 'features a Serumina chassis that combines multi-day battery life with high durability.'
HP: Unveiled the 'Omnibook 5,' aimed at popularizing AI PCs in the mainstream price range, explaining that they 'aim to establish AI as an experience for the mainstream.'
Lenovo: Demonstrated seamless integration between PCs, smartphones, tablets, AR glasses, and wearables via smart connect features, declaring, 'We provide AI-native experiences in every form factor.'
3-2. Edge AI on Multi-devices
The advantages of edge AI were highlighted in a multi-device environment including smartphones, tablets, and wearable devices. Along with keywords such as 'privacy protection,' 'low latency,' 'cost efficiency,' and 'reliability of hybrid operations,' the importance of NPUs that support on-device inference for various models was demonstrated.
4. Developer Ecosystem and Future Outlook
4-1. Initiatives with Docker
For developers, the company highlighted its collaboration with Docker.
Docker Model Runner: Enabling local AI inference on Docker Desktop
MCP Catalog & Toolkit: Simplifying access to certified models and integration into existing applications
This provides the flexibility to move away from cloud dependency and promote local AI development and deployment.
4-2. Expansion into Data Centers and Next-Generation Strategy
Mentioned at the end of the keynote was Qualcomm's vision for entering the data center market. By utilizing IP optimized for CPU design in the AI era, they are realizing low-power, high-performance inference clusters. Positioned as an announcement following NVIDIA's GTC keynote, expectations for the future product roadmap are rising.
What Cristiano Amon presented was not merely a performance race of processors, but the big picture of an 'AI PC revolution' involving hardware, software, partnerships, ecosystems, and the developer community. By setting performance and battery life as 'table stakes' (minimum requirements), they are realizing new user experiences through AI agents and unleashing productivity and creativity through devices. The challenge of fusing the edge and the cloud while balancing privacy and latency will fundamentally change the future of personal computing. We will continue to pay close attention to how Qualcomm and its partners lead this new platform in the AI era.
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