PC AI is the next big thing and here’s what Intel is doing to make it mainstream – All the details
AI has become a buzzword on everyone’s lips in recent years, since creative AI began with the launch of ChatGPT. Over time, generative AI models have matured and are now more capable, but the trend we’ve seen recently is toward local computation. Because data is precious and no one wants to share it with large corporations to train their models.
Therefore, having powerful hardware to run these models and native AI features is an urgent need. Consider Apple Intelligence—it just runs on iPhone 15 Pro and Mac/iPad with M series chipsets. Same, only Pixel 8 Pro from Google achieved the highest position Gemini featured. Given this context, manufacturers such as Intel Those who are bridging the gap in the personal computing space are on the other end of the spectrum.
Think about it – having AI features on smartphones is exciting but it’s still a small field. To reach a broader user base is only possible through enterprise-level use cases. The real benefits of AI will only be realized when a large segment of the working population uses it on a daily basis. And this will only happen when they have access to capable hardware. This is where brands like Intel come in—making capable hardware accessible and enabling “on-device” AI computing.
What is PC AI and how can it make computing accessible?
It’s really simple. We grew up hearing about CPU (central processing unit) and GPU (graphics processing unit), but now there’s a third component that was recently included in the chipset: the NPU, which stands for Neural Processing Unit. This ensures that machine learning and light AI tasks are processed locally on the system instead of sending data first to an online server. We’re increasingly seeing how NPUs can power local features on smartphones. Now, with the renewed focus on PCs, we will gradually see on-device AI features more common on AI PCs from brands like Intel.
At the meeting that just ended computer in Taipei, we’ve seen how chipmakers are working to build efficient processors to handle the growing workloads in data centers around the world. In particular, Intel launched the Xeon 6 processor, which allows for much higher performance per watt. In the long run, this will make computers cheaper. For consumers, the Lunar Lake chipset also focuses on better efficiency. These new Lunar Lake chipsets feature fourth-generation Intel NPUs, delivering 48 tera operations per second and four times the AI computing power found in the previous generation.
AI-powered PCs can change the way businesses work
According to Statista, Windows PCs still account for more than 72.17% of the desktop market share. This alone highlights the importance of local computing to the PC market. Windows PCs are everywhere—they are given to new employees in corporate settings, found in offices, libraries, and many other places. This is where advanced AI computing will be beneficial.
Furthermore, it’s not just about the hardware. Collaboration with developers is equally important. Because unless you build use cases for the hardware you have, what’s the point really? Here, brands like Intel are also partnering with developers to bring various features and experiences to PC AI.
It’s about solving simple tasks that can consume hours of staff time—summarizing emails, removing offensive objects from photos, helping with email writing, filtering data—tasks that take hours. But with easy-to-access software features and local computing, this could ultimately help the workforce use their time more efficiently and of course achieve the work-life balance that everyone wants. everyone desires.
