Inspired with Alexa von Tobel
00:35:26 · May Habib
[00:35:26] S0: Yeah. I think narrow job specs, narrow career ladders are a thing of the past. And being able to... This is Alir's responsibility now. Being able to create really intentional career lattices so that people can expand what they know laterally. They can follow their curiosity, right? They can expand what they're capable of, right? Because we've got a full collapse on the depth side, right? I can go from zero to a 100, you know, on the information, maybe not the wisdom and the judgment, but on the information on how to do something, right? I don't need years and years. And so the ability to amass wisdom and judgment now, it's going to be less dependent on experience, I think, and more dependent on can you be at the edges of things. Right? Because that is where the creativity is born. And I think that's going to mean much more joyful, much more creative jobs where you're on a steeper learning curve for more of your career, which should be very exciting for people. Karpathy this weekend and podcast everyone listened to, I loved how he explained or drew the analogy, right? I said, you know, all the cognitive science and the transformer science is converging. But that we as humans actually have model collapse as we age. Right? Because you get incredible insights from a child. They're not overfitted to the data yet. But it did really line up with how I see the changes that we are going to get in the workplace, right? You're not gonna get to coast, I
00:37:15 · Alexa von Tobel, May Habib
[00:37:15] S1: love, and I wanna inject a question here. I love how clear you are on this. So I want to quickly inject the question, which is, what do you think the average knowledge worker's job will look like in 2030? Would tasks disappear? Would new skills appear? And I hear creative, keep going. [00:37:33] S0: Yeah. I I think in the next five to ten years. Let's do the next five to ten years first. [00:37:37] S1: Great. Perfect.
00:37:37 · Alexa von Tobel, May Habib
[00:37:37] S1: Great. Perfect. [00:37:38] S0: Right now, you know, we we reward people when they get a task done. You know, like I onboarded this class of new advisors or like I just closed this deal or I executed, you know, this campaign. We're going to very soon only be rewarding when you get a system and orchestrate a system of execution versus like analog doing one task at a time. Right? Because it's... The the the execution is gonna go to to free. Right? Execution's going from scarce and expensive to abundant and on demand, which means human value is going to accrue to those who can orchestrate execution versus those who literally execute. I think beyond that, there is such a set of unknowns around two really big initiatives and innovations that haven't really hit even early early mainstream yet. Human computer interfaces becoming the norm, and then humanoids in our workplaces. Those two things, think, when I think about, you know... Did you say twenty, thirty, or thirty years from now? Five to ten years from now. Well, a five to ten years, I think, you know, work will be a lot more fun, but we will be able to recognize it. I think, like, thirty years from now, I do think it will be unrecognizable because of, like, just those two those two unknowns and and how how they will be disruptive forces in in the enterprise. We'll we'll make... We're gonna get a lot more autonomy.
00:39:15 · Alexa von Tobel
[00:39:15] S1: I I can't wait for more. I'm I'm truly... I'm like, send it all my way. Hey. I'll take it all. Last question from the predictions, and then we'll end on the quickfire round. When you step back, what do you think is still very misunderstood about AI? I... Broadly. I... What do you think is misunderstood about AI?
00:39:37 · May Habib
[00:39:37] S0: I... It's it's it's... I feel like a hype woman at all times, and the only way I can explain to people how powerful it is, is to literally give them a laptop that looks like their own. This is literally how I do meetings now, Alexa, with with senior executives. I don't bring my computer. I bring them a computer, and I have them do something really hard on it using our technology. And our team is really good. I have a great... I... Like, personal IT team. And it's like, okay. Well, this person probably has these, that, and the other tools on their computer. So make it look like their computer. Right? And then do something that... You know, give them a task where it used to take them months. Right? Hey, chief credit officer of XX, you're writing a credit memo right now. Right? And it's just so shocking to them that it's excellent, that it's good. Right? That they can trust it, that they can source it and cite it, that they can change it, that they can interact with it, that the agent that talks back to him is fucking smart. Right? And that's so different than most people's initial interactions, right, with ChatGPT. I love ChatGPT, but like, you know, we're all having like a daily conversation with it on our phones about our health, about our kids, etcetera. Like, seeing AI work on your toughest business problems is something else. It is something else.
00:40:57 · Alexa von Tobel
[00:40:57] S1: I I mean, I... I've I've used it a lot in my own work, and I I know what you mean where you're like, oh my god. This is better. I, Alexa. I I wanna quickly move to the quick fire round of just a few things. We're gonna start with... What is... In... What May... And everybody listening, one of the things I love about May is, like, we... When we first met, we went deep on kids, and, like, we just mind melded quickly. We very much think a lot of the same ways. I'm really excited to know a book that's changed your life of any kind. Not a business book. It can be any book. A book that's truly shaped your life.