Eric and Neil break down why Anthropic’s next big moat may have nothing to do with raw model intelligence and everything to do with permission, governance, and trust inside enterprise systems. They also unpack the difference between individual AI and institutional AI, why most companies still aren’t ready to let agents act inside real workflows, how AI helped cut major costs without cutting headcount, and why relationships still matter more than ever when it comes to closing massive deals.Key takeaways◾ The next great AI moat may be permission, not intelligence.◾ Enterprise adoption depends on governance, access, and trust.◾ Institutional AI beats generic AI when it is deeply tied to SOPs and company knowledge.◾ AI can create huge cost savings without automatically replacing full-time teams.◾ Big contracts still come from strong relationships, not just better tools.◾ AI can still make very expensive mistakes when you trust it too much.Chapters((((((