Edgescale AI

AI data-center buildout is projected to hit $1.4 trillion a year by 2030 - seven times the peak of the dot-com telecom boom. Who controls that infrastructure determines who controls your business. Our new piece on Sovereign AI breaks down what's actually at stake.

If your business increasingly runs on AI, AI sovereignty isn't a philosophical question - it's a business continuity one. Our new post lays out the two necessary conditions for Sovereign AI, and why enterprises need to act now, not later.

Sovereign AI comes down to two conditions: a guaranteed ability to produce, and authority over your own information. Most enterprises have neither today. Our CEO breaks down why AI sovereignty is no longer optional - and what it actually takes to get there.

What does it actually mean for your business to have sovereignty over its AI? Our CEO Brian Mengwasser breaks it down to two conditions: a 𝗴𝘂𝗮𝗿𝗮𝗻𝘁𝗲𝗲𝗱 ability to produce, and 𝗮𝘂𝘁𝗵𝗼𝗿𝗶𝘁𝘆 over your own information. Lose either one, and you're not really in control of your AI - or, increasingly, your business. This is Part 1 of an ongoing series we're tackling on Sovereign AI and what it means for the physical operations that keep society running. Link in comments. #SovereignAI #PhysicalAI #DataSovereignty #AISovereignty #AI

If your team is weighing a DIY approach to Physical AI infrastructure, read this first. We walked through all 15 layers - firmware, security, connectivity, release management, and more - before you commit budget and headcount to building it yourself.

"Why can't we just build this ourselves?" is the first question we hear in almost every Physical AI conversation. Marc Rouanne, veteran of Nokia and DISH, breaks down the complexity - all 15 layers of the DIY stack - and why most DIY pilots stall out after 18-24 months of lost effort.