Inspired with Alexa von Tobel
00:28:04 · Alexa von Tobel
[00:28:04] S1: I wanna transition for the sake of time a little bit to where the world is headed. And again, like, you have been a thought leader in the category. You've been in this category for over a decade. And again, one thing I didn't even get to give you a nod to. You build your own foundational model, just like truly the the technical chops and the forward thinking that you have had have proven to be quite strong. Where is the world headed in your mind? And just give us a sense if we wake up in 2035, what does the world look like because of AI in your mind?
00:28:38 · May Habib
[00:28:38] S0: Yeah, totally. And and a lot of this has to do with the fact that we build our own foundation models. Now we are interoperable. You can bring your own model, but 90% plus of the volumes go through Palmyra. These are the workhorse models of AgenTic AI. And a lot of where we are going is a result of us having a research roadmap that we control and direct, right? Lots of folks in the enterprise really can only start productizing when something comes out of the labs, right, versus we're directing where model research is going. And self evolving and proactive LLNs is what we are most excited about. And to kinda take a step back as to why that's important. Right now, when you think about everything that we're doing, you know, the SaaS world of the last twenty or thirty years, the data was the intelligence because the know how was configured... Preconfigured in these systems via workflows and how the data connect together. Right? That's how we take unstructured data and make it structured. You know, the SaaS comes in with an opinion. In the world of AgenTic, we're gonna move from systems of record that are kind of human and workflow centric to systems of record that are agentic centric, that are really built around human and AI collaboration and agent to agent collaboration. And what that means is, right now we are sucking up all the data in a company and all of the insights, right, in people's heads. And companies are gentifying, right, that way of doing business. Well, the next era of models are gonna be able to suck up for a Northwestern Mutual all the ambient intelligence that the agents create while interacting with humans and interacting with each other. And, you know, I'll I'll give you I'll give you an example. In Writer today, if I'm using our Gong connector, right, and I say... And I do these kinds of things all the time. What people who are new to Writer had their first high level executive calls this week? Right? And I look at it, and then I send notes from me and Waseem, right, thanking them, congratulating them. They just had their first big call. Like, I note something that they did in the call, etcetera. Right? And that's all literally like three prompts in Writer. I can control all of that. Well, in in the first few times of doing that, right, Writer would pull in both sales calls, like prospect calls, as well as customer calls.
00:31:15 · May Habib, Alexa von Tobel
Right? And like if I'm congratulating salespeople, like I don't wanna pull in the CS calls. Right? And so me saying, okay, I want actually only the Gong calls where there's an external part... And, know, it is a new salesperson, right, versus a new CS person. That information today doesn't go anywhere. Right? It's in the session, Writer corrects itself for me, but it's not learning about how my organization works. The LLMs of the future will. And what that is going to create is a system of intelligence and memory. First it's memory, right? But memory becomes intelligence, right? And our ability to be proactive as a product, Right? Hey, May, you didn't ask me this week about x y z. Right? The idea of routines, like, as a cadence. Right? Yes, you can go in and write her and like set up a routine. But the LLM should really be able to understand what your routine should be. Right? Wow. So if that's [00:32:14] S1: a lead [00:32:15] S0: agent, they're gonna [00:32:16] S1: start to guide us. Right now- [00:32:18] S0: They're gonna start to [00:32:19] S1: Right now, we are leveraging AI for incredible productivity, and we can cover more surface area, and you can cut costs in organizations because more people can do a lot more... Sorry, fewer people can do a lot more. Your point is that in five plus years, they will actually begin to prompt us.
00:32:39 · May Habib
[00:32:39] S0: Yes. That's exactly right. They will prompt us. Yes. They will prompt us. And, you know, when you think about where the growth areas are, right? Everybody in the enterprise now bemoans like, you know, you guys promised me growth, you promised me productivity, I'm getting neither. Right? And we're like, well, guys, like, you know, why would the systems that calcified you also be the systems that free you? Right? And so much of the growth opportunities, yes, they're in the work that doesn't get done today. Right? Because it can't. And so you think about the new system of record really becoming that LLN and the new norms, right, becoming what the LLMs are able to learn as you interact with new ways of working. And that that is going to be the growth area, right? Being able to get two to three x sales productivity from your best salespeople. Being to get... Being able to get, you know, your front office marketing or, like, go to market folks much more effective, much more targeted. Even today, right? I'm gonna be in London in a couple of weeks. I can ask Writer, who are the 40 execs that I need to reach out to? Right? And I get a spreadsheet. And that is multiple sources of data pulling that together. Most organizations today, literally almost everybody, right, except if they're a writer customer is putting in a ticket in some work board somewhere. Three weeks later, somebody in marketing ops is putting together that audience or that segment for them. Right? And we just... We work in such slow ways. And AI gets us to really collapse, right, the distance between ideation and execution. But you gotta be an organization that's flat enough and fast enough to be able to take advantage of the tech. And it's why when we are in market, we're on the lookout for radical business executives. Right? Because IT is amazing, but IT is an enabler. IT is not going to look at these calcified workflows and say, okay, like this is what needs to change end to end. They're gonna give us the tools. Right? And some of those tools will be Writer, but we really need to inspire business leaders to change the way they operate.
00:34:58 · Alexa von Tobel
[00:34:58] S1: So let's get above Writer, and look at just the whole for a second. Does this mean for jobs in a decade? Or how how does work evolve? And effectively, what this is is this is really high quality white collar workers, highly intelligent that you are able to significantly improve their productivity. How do you think about how this changes corporate America?
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