Or will Anthropic get there first Either way this is what I see coming Your thoughts ai chatgpt learn learnontiktok

The company that first makes enterprise-scale context genuinely usable, that company doesn't just win the AI market. It becomes the new enterprise data platform. It subsumes the entire SaaS stack. It becomes the system of record for organizational knowledge in a way that makes Salesforce's lock-in look like a magazine subscription. Salesforce is worth a quarter of a trillion dollars for owning customer data. SynthesisNow is worth $200 billion for owning IT workflow data. The company that owns the synthesis layer across all enterprise data is worth much more than both of these combined. OpenAI is betting $600 billion in infrastructure that they are the ones that can get there first. CompoundBet, that if it works, justifies OpenAI's massive $840 billion valuation and also, by the way, restructures the entire enterprise software stack as a byproduct. And the thing that determines which approach wins, retrieval at a scale that has never existed in software or in artificial intelligence. So before we look at that issue, let's look at the current SaaS stack. I want you to think about the current SaaS stack as if it were a filing cabinet. Where does organizational knowledge live? Why behind those decisions might live in Slack threads that scroll past or meeting transcripts that no one is reading, or maybe in the heads of very senior people who are thinking about leaving their roles. Every one of these systems is a filing cabinet. The fragility, therefore, is not that the information doesn't exist. Fragility is in the synthesis layer. Human brains are bandwidth limited, they are context switching impaired, I'm looking at me first, and they leave when they get a better offer. I have seen firsthand, anyone in tech has seen firsthand, when a senior engineer walks away like that, the whole organization feels it. That is a catastrophic loss. Now I want you to wave a magic wand in your head and imagine a system that does that kind of synthesis for you, that continuously ingests from every filing cabinet in the business, that maintains a coherent model of the organization's knowledge, and that reasons about it at a depth no individual can match. That system is what the stateful runtime environment that OpenAI is working on is designed to become. Filing cabinets become data sources, not systems of record. JIRA is no longer where project knowledge lives. It's where the agent ingests signal that it integrates with code changes, with customer feedback and strategic priorities. I'm not kidding when I say OpenAI is working on a stateful runtime environment. I could see a future where a lot of enterprises elect to keep their data in the old systems of record. The problem, if you're Mark Benioff, if you end up in a position where you are disintermediated on the synthesis and on agentic workflows, you have no future as a SaaS business. And Mark knows that. And that's one reason he's been pushing on the agent force side so hard. This is going to change how all of us live and work, and we should be thinking about it together.