Microsoft refreshes its smaller Surface Pro and Laptop with Qualcomm’s X2 Plus

Your next smaller Surface device costs more, starting at $1149.99, due to increased RAM and a new processor.

Microsoft has updated its smaller Surface Pro and Surface Laptop models with Qualcomm's Snapdragon X2 Plus chips. The 12-inch Surface Pro and 13-inch Surface Laptop retain their previous designs but feature upgraded processors, resulting in increased prices and a minimum of 16GB of RAM, eliminating the 8GB option. The new chips promise significant performance improvements, including up to 18% more efficient battery life, over 60% faster graphics, and up to 95% faster local AI inferencing. Battery life is extended to 13 hours for web browsing on the Surface Pro and 18 hours on the Surface Laptop. Display brightness has been increased to 500 nits on both devices, while other features like port selection and display resolution remain largely the same. Both devices will support Wi-Fi 7 and Bluetooth 5.4, and will be available in new color options, including black, with the Surface Pro also offering a 5G configuration for commercial customers.

The integration of Qualcomm's Snapdragon X2 Plus chips into Microsoft's smaller Surface devices signals a continued push towards ARM-based computing in mainstream laptops, directly competing with Intel's dominance. This move suggests a growing confidence in ARM's ability to deliver both performance and power efficiency for everyday tasks and AI workloads, potentially setting a new standard for compact Windows devices. Consumers can expect to see more devices leverage these efficient, AI-capable processors as manufacturers seek to differentiate on battery life and on-device intelligence.

This refresh also highlights a strategic shift in Microsoft's hardware offerings, prioritizing enhanced AI capabilities and power efficiency over incremental design changes. The increased base RAM and elimination of 8GB models indicate a move towards a more premium configuration as standard, influencing pricing expectations for comparable devices. As more AI processing shifts to the NPU on devices, this could lead to new application development focused on leveraging local intelligence, thereby changing how users interact with their PCs for tasks like content creation and productivity.