A speaker reflects on how AI companies may implement internal guardrails to manage investor access to sensitive product strategy and financial information. They discuss possible approaches—segmented information rights, separate teams, limiting board access—and note trade-offs: such controls reduce information flow but add managerial overhead that may not create direct company value.
Chapters
I mean, I think what we don't know is, and I think the only people who know this are Anthropic and Sequoia. What internal guardrails, if any. You can think of a lot of ways to manage this. If you're Anthropic, you're like, hey, we're not going to tell you about our product strategy, but we'll give you the bare minimum financial reporting information you need and we expect you to keep that private. You know, we want a separate team of people. I'd imagine they've already solved some of this with OpenAI and Grok, just out of necessity. But I think increasingly companies are going to say, well, if this is going to be our new operating model, we already have ways to limit access to information through information rights and who's on the board and who gets access information. And companies just might have to be more thoughtful about how do we segment which of our investors get what. But that's like overhead that creates no value for the company. And I, you know, if I were an investor in that company, I'd be like, I don't want management spending time on this. This.