Get your free personalized podcast brief

We scan new podcasts and send you the top 5 insights daily.

Microsoft is releasing an OS for smart devices like glasses and handhelds, aiming to sell the software to manufacturers. This platform-first approach lets them establish a foothold in the AI hardware market early, without the risk of building and selling their own devices themselves.

Related Insights

Google's robotics strategy isn't to build its own hardware, but to provide the dominant AI "brain." CEO Demis Hassabis envisions the Gemini Robotics model being used by many different robot makers, mirroring the Android OS strategy for smartphones.

Unlike competitors focused on vertical integration, Microsoft's "hyperscaler" strategy prioritizes supporting a long tail of diverse customers and models. This makes a hyper-optimized in-house chip less urgent. Furthermore, their IP rights to OpenAI's hardware efforts provide them with access to cutting-edge designs without bearing all the development risk.

To outcompete Apple's upcoming smart glasses, Meta might integrate superior third-party AI models like Google's Gemini. This pragmatic strategy prioritizes establishing its hardware as the dominant "operating system" for AI, even if it means sacrificing control over the underlying model.

Microsoft's focus on open-source agents is strategic: to run agents safely at work, you need deep OS-level sandboxing. By contributing heavily to this space, Microsoft is building the foundational platform components that make Windows and Azure indispensable for the next generation of enterprise AI.

NVIDIA is releasing an open-source, end-to-end AI software and hardware stack for autonomous driving. This strategy mimics Google's Android playbook: by enabling any automaker to build self-driving cars, NVIDIA aims to sell more of its onboard computers and dominate the chip market.

Mirroring Google's Android strategy for mobile, Applied Intuition created a specialized OS to run AI across diverse hardware. This layer solves for safety-critical needs like real-time control, memory management, and reliable updates, which were previously impossible due to fragmentation across manufacturers.

Instead of building another closed-box console, Microsoft's next-generation strategy involves convincing PC OEMs to manufacture "Xboxes." These would be PCs that boot into a Microsoft-controlled interface, attempting to capture store and subscription revenue from a broader hardware base and move away from direct hardware competition.

Learning from its failed Google Glass product, Google is now aiming to own the underlying software for all smart glasses, not the hardware. By partnering with diverse brands like Gucci, Warby Parker, and Gentle Monster, it's replicating its Android phone strategy, becoming the operating system for the entire eyewear market, regardless of price point.

Current devices like smartphones are 'pre-AI' hardware not optimized for modern AI interaction. The next major technological wave will be devices built from the ground up to be perceptual, conversational, and empathetic. This creates a massive opportunity for founders to build the successor to the phone.

While Microsoft's Office suite provides a strong user base, its ownership of the Windows operating system is the real moat against competitors like Anthropic's Co-work (currently Mac-only). This "home turf" advantage allows for deeper, native integration, making it easier to build powerful AI agents that can organize files and orchestrate tasks across the entire user desktop.

Microsoft Is Building an "Android for AI Devices" Before the Hardware Exists | RiffOn