
Microsoft and Nvidia reportedly team up on AI PCs that run actual agents instead of Copilot
Quick Answer
Nvidia is entering the PC market with its own chips, debuting Windows PCs from Dell and Microsoft's Surface line at Computex and Build.
Quick Take
Nvidia is entering the PC market with its own chips, debuting Windows PCs from Dell and Microsoft's Surface line at Computex and Build. Microsoft plans to introduce new software based on the OpenClaw framework, enabling AI agents to perform tasks locally, marking a pivot from the unsuccessful Copilot+ concept.
Key Points
- Nvidia's chips will power new Windows PCs from Dell and Microsoft.
- Computex and Build will showcase the first AI-enabled devices next week.
- Microsoft's software aims to leverage AI agents for local task management.
- This initiative follows the lackluster performance of the Copilot+ PC concept.
📖 Reader Mode
~1 min readNvidia is entering the PC market. According to Axios, the first Windows computers running Nvidia chips as their main processor will be unveiled next week at Computex in Taiwan and Microsoft's Build conference in San Francisco. Both Microsoft's Surface brand and Dell are expected to show devices.
Microsoft is also building new software that lets AI agents handle tasks locally on Windows PCs. The company has been betting on OpenClaw since early this year, setting up a dedicated team under developer Omar Shahine. OpenClaw founder Peter Steinberger, now at OpenAI, is scheduled to hold a session at Build, suggesting Microsoft may use the OpenClaw framework for these PCs.

Microsoft's first AI PC push—the "Copilot+ PC"—tried to use AI as a marketing hook for laptop sales while forcing Copilot into the default stack. It largely flopped. This second attempt seemingly goes deeper, aiming to weave AI agents into actual workflows. Security and reliability concerns around OpenClaw remain, even if everything runs locally.
— Originally published at the-decoder.com
Want this in your inbox every morning?
Daily brief at your local 8am — bilingual EN/中文, free.
More from The Decoder
See more →
An AI model programmed nonstop for 19 days on a single MirrorCode task that cost $2,600 to run
Epoch AI's MirrorCode benchmark reveals Claude Opus 4.7 as the leader with a 56% solve rate, reconstructing a 16,000-line toolkit in 14 hours. Despite this, all models tested struggle with the most complex tasks, highlighting limitations in current AI capabilities. The single task consumed $2,600 over 19 days, raising questions about cost-effectiveness in AI development.

