AI's Biggest Risk? 🤖 I keep coming back to this: every $FET agent, every AI workflow, every enterprise deployment in the $TAO ecosystem is only as trustworthy as the compute layer running underneath it. And right now, that layer is AWS, Azure, and Google Cloud. Think about the fragility that creates. The entire AI economy is scaling at a pace that has no historical precedent, and 90% of it runs behind three corporate firewalls, subject to three pricing decisions and three access policies that can change at any time. The regulatory pressure is compounding this fast. GDPR. The EU AI Act. HIPAA. Data sovereignty requirements are tightening across every major economy, and "we processed your data on AWS" is becoming a compliance liability, not just a philosophical concern. Targon's answer is DePIN compute infrastructure with hardware-backed cryptographic isolation. Intel TDX and AMD SEV mean the infrastructure provider physically cannot access what's running on it. It's not a policy. It's physics. That's why SN4 Alpha is on my radar. The demand for this isn't emerging, because it is already here, it's enterprise-driven, and the centralized alternatives are structurally unsuited to serve it. Infrastructure that solves a problem this real doesn't stay undervalued indefinitely. #AI #DePIN