Cloud providers are quietly rebuilding their platforms around generative AI—and dragging you along for the ride. In this episode of Cloud Computing Insider, Dave breaks down how AWS, Azure, and Google Cloud are shifting from general‑purpose cloud to AI‑native cloud, where everything is optimized (and monetized) around GPUs, proprietary models, and tightly integrated AI services.

We'll look at why this is happening now, how it shows up in your architecture and your bill, and why "AI‑ready" often really means "AI‑locked‑in." From exploding inference costs to agentic AI baked into workflows, you'll see how the defaults are being stacked in the providers' favor.

But this isn't just a rant—we'll also explore your options. Do you lean into the hyperscalers' AI platforms, or start carving out room for AltClouds like private, sovereign, and MSP‑run clouds that aren't rebuilding everything around AI? How do you keep data, models, and architecture portable enough that you still have real choices in three years?

If you care about cloud costs, control, and long‑term flexibility, this is the AI/cloud conversation you actually need to hear.