As AI becomes more useful it also becomes more consequential. What works in low-stakes settings doesn’t hold when decisions start touching money, logistics, and real-world coordination. At that boundary blind trust breaks. We need stronger guarantees about what was actually computed not just outputs, but provable execution. That’s the transition @inference_labs is building for: moving AI from something we “use” to something we can rely on in critical systems. As AI crosses into high-stakes environments… should trust scale with it or be replaced by proof? #VerifiableAI #AIInfrastructure #DigitalTrust