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Microsoft is quietly moving away from the Copilot+ PC name. The company used the label to mark Windows computers built for AI features. This marker is no longer needed for the newer model. Recent reports have highlighted that its latest Surface PCs are no longer called Copilot+ PCs. However, the change does not mean the hardware is going away. These PCs still meet the requirements and support the features linked to the Copilot+ category.
Microsoft launched Copilot+ PCs in 2024 with Qualcomm. The category was built around laptops with extra hardware for AI tasks. Qualcomm Senior Vice President of Compute Kedar Kondap mentioned that this category was particularly built around a hardware threshold for NPU-based experiences, including an NPU capable of at least 45 trillion operations per second. The hardware still matters even as the name becomes less visible. NVIDIA also avoided the Copilot+ label for its upcoming RTX Spark platform, despite meeting the required hardware level.
The Copilot+ push had a mixed start. In the last two years, several PC makers withdrew the Copilot+ label, which made it less prominent when it comes to branding. It seems Microsoft is also going to follow a similar path.
For Microsoft, dropping the label could make the PC range easier to explain. Buyers may be more interested in the actual AI tools than a name on the laptop box. The change also gives PC makers more freedom to promote their own AI features instead of relying on one Microsoft label.
Also Read: Microsoft Confirms Copilot ‘Super App’ Launch this Year, Combining Chat, Coding, AI Agents
For most buyers, the badge should not be the main reason to pick a laptop. The processor, NPU, RAM, battery life, and supported AI features matter more.
The bigger change is in how AI PCs are now sold across markets. As AI tools become common on Windows, a separate label may become less useful. What once needed a special badge could soon become a normal part of buying a laptop.
Microsoft dropping the Copilot+ name does not mean the AI PC era is ending; instead, it shows that the focus may be shifting from a product label to the features inside the machine.
