Lenny's Podcast: Product | Career | Growth
00:33:29 · Marc Andreessen
I think it just can't happen because of the reasons that Peter articulates, which is there's so much about how the world works that's basically just like wrapped up in red tape: like bureaucratic process, rules, restrictions, the politics. By the way, unions, cartels, oligopolies, there's all these structures in the world that are economic or political or regulatory structures that basically prevent things from changing. And so let's take a great example: AI's impact on the healthcare system. By rights, AI is going to have a dramatic impact on the healthcare system, and in very positive ways. But large parts of the medical system today, they are cartels. And so the doctors are a cartel, and nurses are a cartel, hospitals are a cartel. Then there's this push to nationalize all the healthcare systems, and then you've got a government monopoly. And guess what cartels of monopolies don't like, is they don't like rapid change. And so you show up as a kid and you're like, "Wow, I've got this new technology to do AI medicine." And they're like, "Oh, does it threaten doctor jobs? In that case, we're going to block it." And I think a lot of consumers, by the way... I see this in my life, and you'll probably see this in your life also, which is ChatGPT is almost certainly a better doctor than your doctor today, but ChatGPT can't get a license to practice medicine. So, it can't substitute for a doctor. It can't prescribe medications. It can't perform procedures. And so, there are these... Anyway. So Peter, I think, was very articulate, and has been for a long time on like, "No, there are actually real structural impediments in the economy and in the political system that we have, that actually prevent..." The rates of change, that are anywhere near the rates of change that people have in the past. And you can maybe say, optimistically, maybe the presence of the new magic technology of AI, maybe it causes us to revisit a lot of these assumptions for the first time in decades, to really say, "Okay, is this really the world we want to live in? Don't we actually want to get to the future faster?" So maybe, that would be the optimistic view.
00:35:26 · Lenny Rachitsky, Marc Andreessen
[00:35:26] S1: "It's time to build," somebody famously said. In my calendar, I actually have that as my... When I start to work, "It's time to build." [00:35:26] S0: Yes. [00:35:33] S1: That's my block in the morning of the day. Thank you for that. Okay. I love the way you go from just macro to just like N-of-1, and I want to go to N-of-1. A lot of the listeners of this podcast are product managers, they're engineers, they're designers. There's a lot of founders, but there's also a lot of non-founders. There's a lot of people building product that aren't founders. And obviously, a lot of people are worried about where their career is going. "Is one of these roles going to disappear?" "Is one of these roles are going to do really well?" " How do I stay up to date?" You're close with a lot of teams, a lot of product teams. What's your sense of just the future of these three very specific roles: product manager, engineer, designer? [00:36:10] S0: This, I think, is a really funny question. These three roles in particular, obviously, are the central roles for building for tech companies. So, the way I've been describing it is... You know the concept of the Mexican standoff, right? Which is the movie scene where the two guys have guns point at each other's heads? [00:36:23] S1: Mm-hmm.
00:36:24 · Marc Andreessen
[00:36:24] S0: And then there's... If you watch John Woo movies, he loves to have... He does the three-way Mexican standoff, where you've got like a triangle, people. And of course, John Woo movies, they've got guns in both hands. So, each is aiming at the other two and you've got this kind of standoff situation. And so the way I've been describing this is there's like a Mexican standoff happening between those three roles: between product manager, designer, and coder. Specifically, the following, which is every coder now believes they can also be a product manager and a designer because they have AI, every product manager thinks they can be a coder and a designer, and then every designer knows they can be a product manager and a coder. And so, people in each of those roles now know or believe that with AI, they don't need the other two roles anymore. They can do that because they can have AI do that. And then of course, there's the real irony, which is all three of them are going to realize that AI can also be a better manager. So, they're going to be aiming the guns up the org chart, but that's the next phase. And what I think is so fascinating about this Mexican standoff is they're actually all kind of correct, I think. Which is, AI is actually a pretty good... It's actually now a really good coder, it's actually now a really good designer, and it's also a really good product manager. It's actually good at doing all three of those things, or at least doing a lot of the tasks involved in those three jobs. And so again, this goes back to this idea of the super-empowered individual. Where if I'm a coder, step one is I need to make sure that I really understand AI coding, and what that means, and how coding is going to change in the future. I need to understand specifically how to go from being a coder who writes code entirely by hand to being a coder who orchestrates a dozen instances of coding bots. There's a change in the actual job of coding itself, which is happening right now. But the other part of it is, "Okay, how do I become that super-empowered individual? How do I become a coder that also then harnesses AI so that I can also be a great product manager, and I can also be a great designer?" And then the same thing for the product manager, which is, "How do I make sure that I can now use coding tools?
00:38:24 · Marc Andreessen, Lenny Rachitsky
How do I make sure I can also do AI-based design?" And the same thing for the designer, which is, "How do I use AI to also become a coder, and also become a product manager?" And then what you get is maybe, those individual roles change. Maybe, those are not any more sort of stovepipe roles the way that they have been for the last 30 years or whatever. But what happens is that the talented people in any of those roles become super powered, and they become good at doing all three of those things. And then, those people become incredibly valuable, because then those are people who can actually build and design new products from scratch, which is the most valuable thing. And so, I think that's the opportunity. [00:39:02] S1: I love this answer. So what I'm hearing is, essentially, if you're amazing at any of these three roles, you will do well.
00:39:08 · Marc Andreessen
[00:39:08] S0: Number one, if you're amazing at these roles, that's great. But also, part of being amazing in these roles is also being able to fully harness the new technology. So if you're a master coder today and you don't ever get to the point where you figure out how to use AI to leverage your coding skills and do more, at some point you are going to hit an issue. Here's another way economists talk about this, which is there's the concept of the job, but the job is not actually the atomic unit of what happens in the workplace. The atomic unit of what happens in the workplace is the task. And then the way the economists think about it is a job is a bundle of tasks. Everybody wants to talk about job loss, but really, what you want to look at is task loss, the tasks changing. The classic example of task changing. Classic example of task changing was once upon a time, executives never used typewriters or personal computers themselves. If you were a vice president of a company in 1970 or whatever, you did not have a typewriter or a computer on your desk typing things. You had a secretary who you dictated memos to. And then there was this change where emails started to show up. And what would happen was the job of the secretary, it went from... The job of the secretary changed from sending out letters with stamps on them to sending or receiving emails with the other admins. Then the secretary would print out the email and bring it into the executive's office. And the executive office would read the email and paper, scroll the reply and give that message back to the secretary, who would go back and type it into the computer on his or her desk, and send it as an email. Fast-forward to today, none of that happens. Now, executives just do all their own email. They still have secretaries or admins, but they're now doing different tasks. They're travel planning and orchestrating events, and doing all of these other things that the great admins do. And then the task set, ironically, of the executive, has expanded to do actually more of the clerical work themselves actually. Like, sit there and type their own memos. Which again, 50 years ago, they never would've done that. And so the executive job still exists, the secretary job still exists, but the tasks have changed. And I think that's a great example of what's going to happen.
00:41:12 · Marc Andreessen
In coding, the tasks are going to change. Product management, the tasks are going to change. Designer, tasks are going to change. And so, the job persists longer than the individual tasks. And then as the tasks change enough, then that's when the jobs change. And so at the level of individual, you want to think of like, "Okay. I have this job, the job is a bundle of tasks. I need to be really good at making sure that I can swap the tasks out. I can really adapt, use the new technology." Get really good at AI coding, for example. And then you want to add skills. "I can also get really good at design. I can also get really good at product management because I've got this new tool." So, you want to pick up more and more scope as you do that. And then 10 years from now, is your job title coder or coder/designer/product manager? Or is it just, "I build products"? Or is it just, "I tell the AI how to build products"? It's like whatever that job is called, who even knows what it's going to be, but it's going to be incredibly important because the people doing that job are going to be orchestrating the AI. And so that's the track that the best people are going to be on, and I think that's the thing to lean hard into.