By By Brien Posey11/05/2026
Publication Date: 2026-11-05 00:00:00
Why the Future of AI May Be Hybrid
For many years, the software industry has worked aggressively toward a world where computing is cloud-only and subscription-only. Its vision has largely involved cloud desktops and traditional software replaced by software-as-a-service applications. Under this model, hardware becomes a commodity and subscriptions replace ownership.
Early on, some suggested that we were entering the “post-PC era.” The idea was that everything would be done in the cloud and PCs would be replaced by terminals. Of course, PCs never went away because cloud services simply are not a good fit for every use case.
Despite the industry’s aggressive push toward the cloud, there are signs that it may be beginning to recognize that local hardware resources are more useful than once assumed. In fact, there is strong evidence to suggest that hybrid AI inference will become far more common.
Before explaining what that hybrid architecture might look like, let me step back and offer a personal example of why hybrid AI makes sense.
The PC I use for most of my work has nearly 200 GB of RAM, an Intel Core i9 CPU and an NVIDIA 5090 GPU. Recently, I have been working on a personal project and making extensive use of Microsoft 365 Copilot in Microsoft Word. Copilot is…
