Microsoft and Nvidia are betting on AI to make old x86 Windows apps run better on next-gen RTX Spark PCs

Microsoft and Nvidia are currently making a calculated bet that AI can handle much of the heavy lifting in running older, unoptimized apps on the latest Windows on Arm and x86 hardware, including Nvidia’s powerful new RTX Spark chips and Qualcomm’s Snapdragon X processors.

At Computex on June 1, 2026, Nvidia announced that its Arm-based Grace Blackwell platform had been slimmed down for laptops and compact desktops, dubbing the new configuration the Nvidia RTX Spark Superchip SoC.

At its Build 2026 developer conference, Microsoft showcased how “agentic AI” could help convert and validate x86 apps for improved speed and better compatibility, and scale them more effectively on Arm-based systems.

The session description read, “See where Arm performance gains are real today, and how agentic AI can help convert and validate x86 applications for speed, compatibility, and scale.”

NVIDIA’s Jensen Huang also stepped into the limelight, framed the bigger picture more clearly, and stated, “The PC is being reinvented. For forty years, you launched apps. Click. Type. With RTX Spark and Microsoft Windows, you ask, and the PC does the work.”

Microsoft’s Satya Nadella stated that RTX Spark has been a “real breakthrough” for delivering “unmetered intelligence to every home and every desk with Windows.”

Microsoft says that currently, 90 percent of the time people spend on their Windows on Arm PCs is inside applications that run natively without any translation layer. Some tools, such as the Prism emulator and related translation technologies, allow a range of older x86 programs to run on Snapdragon X laptops and upcoming RTX Spark machines.

There are a few setbacks: some legacy business apps and certain games don’t perform well under emulation or don’t run at all. As a result, developers often have to manually rework parts of the code to achieve optimal performance on Arm hardware.

That’s where Nvidia and Microsoft step into the picture with their new generation of Arm-based Windows PCs built around AI agents, which are designed to handle real work across apps without constantly communicating with the cloud.

All in all, Microsoft isn’t claiming that AI agents will magically fix everything overnight. Complex applications with tight security features, such as anti-cheat systems, will still require extensive human oversight, but Nvidia has promised at least some level of compatibility with existing anti-cheat software to placate gamers, a key demographic for the GPU designer, even as it pushes more dedicated hardware, such as the DGX Spark, for users looking to have more agency over their local AI inference.