In this monologue, the speaker argues that modern distributed work demands strong asynchronous collaboration, which is best achieved through thorough written documentation on platforms such as Google Docs or SharePoint. He explains that AI systems function like remote junior employees: they can only be productive if they are supplied with clear context about the task, challenges, progress, and history. Consequently, fostering a writing‑first culture in an organization not only improves information dissemination among human workers but also creates the rich contextual data that AI needs to be an effective collaborator.
Chapters
Another big advantage is, I think in today's world more than in the past, when you work in a distributed way, you have to be better at asynchronous work. You have to be able to have like, you do your work individually from me, you pass it to me, I do my bit and pass it back to you or whatever. We work obviously ideally through some kind of collaboration platform like Google Docs, SharePoint, whatever. AI needs access for context to know what you're working on. What are you doing? What's the challenge? What's the progress? What's the history? So the more you write down, the more you kind of work in this async way, it creates amazing context for Because essentially by working asynchronously, you're producing work and sharing your stuff in a way that helps other remote workers consume and collaborate with you. And actually, that's exactly what an AI is. It's a remote worker that's working with you. And, you know, everybody who's talking about AI and how productive you can be with AI talks about how important it is to give AI context. If you don't give it context, just like a junior employee, if you don't give a junior employee any information about how your company works, it's not going to be great. You default to have a writing culture in the business as a way of disseminating information. And then coincidentally, that has this massive additional byproduct and benefit in the age of AI.