What's really happening with AI compute infrastructure? The common story is that supply will catch up to demand—but the reality is more complicated when DRAM prices spike 60% quarterly and every hyperscaler is hoarding capacity. In this video, I share the inside scoop on why the global inference crisis is not a prediction but an observation of current conditions:

Why enterprise token consumption is scaling from 1 billion to 100 billion per worker annually
How memory, semiconductor, and GPU bottlenecks compound with no relief until 2028
What hyperscalers choosing their own products over customers means for enterprise allocation
Where sharp CTOs are securing capacity and building routing layers now

For enterprise leaders navigating the next 24 months, traditional planning frameworks are broken—and the window to act is closing fast.

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Why the Smartest AI Teams Are Panic-Buying Compute: The 36-Month AI Infrastructure Crisis Is Here

AI News & Strategy Daily with Nate B. Jones

Why the Smartest AI Teams Are Panic-Buying Compute: The 36-Month AI Infrastructure Crisis Is Here