Lenny Rachitsky argues that the best product managers for AI products ship features weekly, not quarterly. With LLMs so general, the PM's job is defining what must work out of the box, then getting ideas to users in a week. Speed and clarity on core capabilities are what separate winning teams.
Chapters
The PM role is changing a lot. It's changing really quickly. The thing that is extremely important for building AI-native products is iterating so quickly, figuring out a way for you to actually launch features every single week. What that means is, as a PM, there should be less emphasis on making sure that you're aligning multi-quarter roadmaps with your partner teams and more emphasis on, okay, how can we figure out the fastest way to get something out the door? How can we figure out how to make a concept corner of our product suite where an engineer has an idea or a PM has an idea? By the end of the week, we are able to get into our users' hands. The PMs who do the best on AI-native products are the ones who can figure out how can I shorten the time from having this idea to actually getting the product in the hands of users. LLMs are incredibly general, so you can pretty much prompt it to do almost anything. And I think the role of the PM is now to help define what are the most important tasks that need to work out of the box for my product.