{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/69ab3b7c7036d739021982df/69ab3b847036d73902198450?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Why the Smartest AI Teams Are Panic-Buying Compute: The 36-Month AI Infrastructure Crisis Is Here","description":"<p class=\"text-node\">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:</p><ul class=\"list-node\"><li class=\"list-item-node\"><p class=\"text-node\">Why enterprise token consumption is scaling from 1 billion to 100 billion per worker annually</p></li><li class=\"list-item-node\"><p class=\"text-node\">How memory, semiconductor, and GPU bottlenecks compound with no relief until 2028</p></li><li class=\"list-item-node\"><p class=\"text-node\">What hyperscalers choosing their own products over customers means for enterprise allocation</p></li><li class=\"list-item-node\"><p class=\"text-node\">Where sharp CTOs are securing capacity and building routing layers now</p></li></ul><p class=\"text-node\">For enterprise leaders navigating the next 24 months, traditional planning frameworks are broken—and the window to act is closing fast.</p><p class=\"text-node\">Subscribe for daily AI strategy and news.<br>For playbooks and analysis: <a target=\"_blank\" rel=\"noopener noreferrer\" class=\"link\" href=\"https://natesnewsletter.substack.com/p/executive-briefing-the-global-inference\">https://natesnewsletter.substack.com/p/executive-briefing-the-global-inference</a>?</p><p class=\"text-node\">© Nate B. Jones 2026</p>","author_name":"Nate B. Jones"}