gm gArc, AI procurement is about to change. Today, companies compare models using benchmarks, demos, and vendor promises. Tomorrow they may compare something much simpler: Can this AI prove how every important result was produced? That question feels increasingly relevant as confidential computing becomes part of the broader conversation. What I find interesting about @TheARCTERMINAL is that it isn't treating verification as a compliance feature. It treats it as infrastructure. If execution can be independently verified without exposing the underlying data, choosing an AI platform becomes less about marketing and more about evidence. Thats a healthier direction for the industry. The long term winners may not be the loudest AI products. They may be the ones that make trust measurable instead of memorable. When enterprise AI becomes standard, I think proof will compete just as hard as performance.