AI's Evolution from Hype to Practical Impact

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The artificial intelligence landscape is shifting dramatically. What began as experimental dabbling has evolved into strategic implementation that's reshaping entire industries. This episode explores how companies are navigating this transformation—from healthcare consolidation strategies to the everyday reality of AI-powered shopping experiences.

The conversation reveals a critical inflection point: businesses are no longer asking if they should adopt AI, but how to integrate it meaningfully into their operations while addressing legitimate concerns about data privacy and workforce impact.

Many thanks to our producer, Karley Dartouzos. 

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Transcript

Lenny Murphy: There we go. There we go. We're definitely getting good at that. We're getting good.

Karen Lynch: We are. We've learned that when it says you have zero time left, there's this lag between when we're actually live and when there's time left. So now we just get still and quiet. It's very meditative of us, isn't it, Lenny? Let's take a deep breath.

Lenny Murphy: Yes.

Karen Lynch: When you watch a lot of baseball, you realize what different pitchers, I mean, players do when they're coming up at bat. And like, you know, there's some players that like to step back and take a deep breath. And then there's other players that, you know, they wiggle or whatever. You know, there's just some bat that, you know, hit the bat on their shoulder. Like everybody has a different practice. Ours is just a few seconds of total stillness.

Lenny Murphy: Yes. And, you know, and that's true actually for anything that I do, whether it's a webinar or, you know, a meeting or stage or whatever, right. That, that I always take. Okay, because contrary to popular belief, this doesn't actually come naturally to me. I am an INTJ, so I am more introverted than I am extroverted, which most people don't believe. So this actually takes effort for me.

Karen Lynch: What people do believe is that I'm off the charts on the extroversion scale.

Lenny Murphy: I am not surprised by that.

Karen Lynch: Yes, Darren, we can tell.

Lenny Murphy: We are aware.

Karen Lynch: Like I pretty much every, if I, when I am by myself, I might as well be asleep because it just, there's like, you know, I mean, there are some activities that I do total, you know, and I get into that zone, but, um, but I certainly come alive when I'm with people.

Lenny Murphy: So, uh, yes, I, I'm not slim. There's an extroverted component. I'm more introverted than extroverted, but I do enjoy people. I enjoy you. I enjoy our listeners. So, well, I remember it's a sliding scale.

Karen Lynch: We're talking about like, there's no definitive either, or it's a sliding scale. Everybody can do both. And you, you know, you just, just how you get your energy.

Lenny Murphy: And so, so let's be fluid. I'm personality fluid.

Karen Lynch: Actually, all of us are to some degree, but, but we won't lie. Conversation. Danger, danger, danger. All right.

Lenny Murphy: There's lots to cover today.

Karen Lynch: As always, although warning, this is more of an AI heavy week than research.

Lenny Murphy: But also an interesting one, like, like, spoiler alert, when we get to the end, we have some interesting things to share about AI.

Karen Lynch: So it's really interesting. And I think that let's just start off kind of like teasing people about what's to come, right? We have a few stories this week about how AI tools are hitting the enterprise level in very scalable AI solutions at a larger level. So we talk a lot about little insights tools and we talk a lot about the tech infrastructure, but I think there's some cool stories about how AI is being scaled up to solve some And then also there's some operational changes happening in our ecosystem that are very interesting, things that make you go, hmm, that's interesting. So we'll talk about that.

Lenny Murphy: All right, Tim, warning, warning, is that a- Tim, warning, warning, it's okay.

Karen Lynch: He just always likes it when he's out of the hot seat and you're back in it. I think that's really like, he enjoys these moments of like, Oh, good, maybe Karen will.

Lenny Murphy: Well, Tim, since Tim Lynch, Karen's husband, listening to this, I've forgotten you bailed on me a couple weeks ago. So you're not out of the hot seat for long.

Karen Lynch: There will come a day. Yes, yes, yes. Wow. He's crazy. Actually, I will say right now, because I think it's interesting and it's pointing towards something else, Tim is a change management consultant. And his time, without giving away anything proprietary. Let's just say he is to say he is maxed out of his utilization is an understatement. You know, right now, he's, you know, doing a million things. And he's probably listening, as he does, because he enjoys what we talk about. But change management consultants are tapped right now, which is absolutely, there's some big things happening.

Lenny Murphy: So things are busy on the gentoo side, right disruption, disruption, and certainty creates great opportunities for consultants. Because fundamentally, our job is to help make people feel better, and tackle things that are keeping them up at night and moving forward. Tim, obviously you do that in a far more structured and organized way than I do. But yes, it's a human, right? We all were like anybody. When there's weird, weird things happening in our lives, we want to talk to someone to figure out what to do. But let's dive in, let's talk about Sago.

Karen Lynch: Let's dive in about Sago, right? So why don't you share kind of what, because there's two, there were like two news stories that very sequentially, deliberately hit. First, what they did and who's involved, surprise.

Lenny Murphy: Yeah, well, Sago, formerly Schlesinger, you know, a major, major player in the industry, and they sold off their healthcare division. What was interesting about that, so that was a big chunk of their business. Right? So you always did Paul, they're centered in New Jersey around that area. I mean, pharma was, you know, obviously a big part of the business, the, the buyer, private equity backed business that does healthcare training. And I know my first thought looking at that was, where's the synergy there? The synergy was that they wanted the Sega relationships. So they wanted those direct relationships with, with, with pharma companies. So they could cross sell upsell. So an interesting strategy for the end. And then the next story is Isaac Rogers, who was president at Segoe is now the CEO of the new Segoe health going with med learning group. So hats off to all involved. Yeah.

Karen Lynch: And I think that I you know, when I said Isaac said he was stepping and he was like, don't worry, you'll all find out soon enough. Then I'm always like, all right, you know, we know that there's a grandmaster plan here at Play, but he's keeping it locked up until the appropriate announcement. So, you know, his leadership, obviously vast industry experience, but there's two things at Play. There's not only that spinoff, but then there's also Sago focusing on core capabilities, right? And so allowing the two to operate distinctively is a smart move for both of them, because there's this, there's this idea that focuses on what you do well, and then you can or you know, what your core capabilities are, and then you can scale that up. If you're, if you're too, if your offerings are too diverse, if you're trying to do too much, it's harder to scale up.

Lenny Murphy: Right. Well, and we've seen this from private equity backed companies, Cantor, selling specific divisions. Nielsen, you have done that as well. The, uh, lots of companies looking at those things of, Hey, this is a great revenue stream. It's a nice healthy part of the business. But to your point, right during this period, we need to refocus, uh, potentially on where the growth is in the core business. We can't do all things to all, all people. Um, and it'll be interesting to see how they adapt. Uh, uh, Matt Valley just here. I did not know that, Matt. Well, I'll have to talk about that.

Karen Lynch: Honey? Why aren't we getting honey? Susan just said, indeed, keeper of the bees. I'm like, hold up. I should be getting, I'm just saying, Isaac, the next time you see me. I should be getting my homemade honey or something. You know, he's only a couple hours from me.

Lenny Murphy: I'm going to go see him.

Karen Lynch: You should start to be a beekeeper. No, hell no.

Lenny Murphy: Do you remember what happened like two weeks ago when I got stung and I had anaphylaxis? Although my neighbor has multiple hives. So anyway, what's interesting about this health move? I just want to say one other thing about it.

Karen Lynch: And this is a plug to the overarching industry, right? So as you know, Green Book has had, as you may know, Green Book has had this IAX health event. Um, we have a robust, uh, you know, kind of healthcare insights, chat expert channel with, with really some amazing content for it. So we have kind of a great article ecosystem for healthcare, health pharma, health tech, all of that space. We have some great speakers across all of our IAX events that, you know, represent big pharma and also health tech companies, small and upcoming startups, you know, from Merck to, you know, Oura Ring, you know, at our last one, for example, you know, Sanofi, all of, anyway, consumer health to consumer products all in health tech. Space. Anyway, good stuff. But my point is we've tabled IAX Health for now because while the suppliers are like, yes, do it, the pharma companies and the big health brands are like, actually, we're enjoying the IAX Health ecosystem because it's a little bit more, what do you call, substantive for them. They're pulling in from other disciplines and they're enjoying that process. So my request is if you are on the brand side of the industry, give us that feedback, the exchange at greenbook.org and say, you know, yes, we do have a strong interest in IAX health, because we will factor that into future planning. But right now that event's on hold.

Lenny Murphy: So huge, big, and an industry under disruption, right? I'm just into so much technology, etc. So there's just so many things that are impacting the idea, health, health care, and most to the good. I mean, I think there's lots of interesting new technologies developing that help us take charge. So yeah, I'm sure that that will come back, that we will want to focus on that. But... That's just me. I'm just kidding.

Karen Lynch: Every now and then, Karley puts up the email address and I plug it in there, because I like the idea of people giving us their POV when we talk to them live like this. Yeah.

Lenny Murphy: All right, let's move on. Okay, sorry. We are very active. I know, it's so fun today.

Karen Lynch: It's so funny because- The beekeeper. Okay, Tim. I know. My daughter, we were, you know, I was kind of down in the kitchen and I was getting my water and she said, so how many listeners do you have? And I was like, I don't know, Gianna, like, I don't have the analytics at the top of my head right now. It's a couple hundred. She goes, live or after the fact? And I was like, why does that sound like it's dripping with, you know, dripping with the judgment of, you know, of a young woman. And I'm like, both? And I was like, I don't know. And she says, well, sometimes dad tries to join live. I hear him and I hear you echoing in his office. And I'm like, oh my gosh, this is so interesting. Like this whole little like conversation that's happening about this show and here people are engaging. So I have to go back and tell her like lots of people where they're living today, Gianna.

Lenny Murphy: So. Absolutely. And you know, we did check metrics recently and at least like our YouTube channel, all of its properties are growing swiftly. One of our, uh, one of the CEO series interviews, they checked like my team's telling me that we got 30,000, uh, uh, views on that. And is that right? I was like, damn, is that right? And, and it was so, but let's, uh, uh, Yogi, you found this. I thought this was really interesting.

Karen Lynch: Um, so Yogi launched ask Yogi. It's an AI tool for consumer package good feedback. So I didn't really know anything about Yogi, but you know, you Read, I do, at least I'm sure you do too. I mean, like, we read these Pressley theses as if, as if it's all brand new, like, everybody's like, we're doing this now as if it's all really brand new. So that's one of the things that was interesting to me is, okay, of course, conversational AI. It's been around for a while, and lots of people are using it for, you know, extracting data. But the first thing that caught my eye was the published clients here, Microsoft, Liquid IV, Everyman, Jack, Unilever. I'm like, okay, they're building a cool client list right out the gate there, right? And they're taking both structured and unstructured data. So from reviews, social media, customer care logs, and proprietary research. So to your point, they're building this, I wanna say, but that's not necessarily... Anyway, they're building an infrastructure where you can query it, right? And get back responses, trends, charts, metrics, verbatim quotes. So they have a real usable hub, I guess, for their clients. And even if there are others that are doing this too, whenever something catches my eye or Lenny's eye, there's something about it that we want you to take a look at and say, okay, what is it that they're doing? What can I learn from And in this press release, talk about addressing critical pain points. And when I read the pain points, I was like, all right, that's interesting. I see what you're doing there. It seems to be a tool based on solving needs rather than a tool that says, hey, cool, we can do this now.

Lenny Murphy: I love it. Fitting into workflows, right? And I think that I will have more of this conversation. We're at that phase now where we're moving from tools to how tools fit into workflows. And here's that word. I thought this was a great example of that. It's synthesizing information. It's not just a standalone use case. They're fitting into a broader category of use cases to leverage information. At enterprise scale, that's where we're getting to. That was neat.

Karen Lynch: You share about this one because I don't know much about thinking. Anything about Think Insights.

Lenny Murphy: Shout out to Yaron Brennan, a good longtime friend in the industry. Think Insights is his and a couple of other folks. They're putting together a variety of tools to address very customized research needs and be meaningful as a technology provider, not a research player, but they're adapting that tool there. As an agent for America. So I thought that was just really interesting because that's an example of a partnership where it wasn't a homegrown solution. They're adapting existing technology that addresses other use cases into the Insight space, which is a great strategy as well to kind of build best of breed. There's an argument to be made where I think systems integrators really start to emerge. Um, and is that, you know, the big tech platforms, Qualtrics and the, you know, all those guys, maybe, but it may not be, it could be companies like this that are far more customized in our really, uh, integrating best of breed solutions within their specific area of focus on what they, they specialize in. Uh, and that's, uh, That's a great viable approach.

Karen Lynch: Yeah. Cool. Look, I just want to, I'm going to see if I can show this comment. It just says LinkedIn user. So I don't know who this is, but, but yes, this is what I not so articulately was trying to say. Um, the yogi example feels like it answers a researcher's needs versus just developing tech for the sake of, of yes.

Lenny Murphy: Yes. Yes.

Karen Lynch: We love to see that. Um, it really, especially now when there's such an influx of capabilities being launched because they can be. It's very refreshing to see one, and we'll probably call it out, you know, to see one that is based on a researcher's needs. Because, you know, we have needs based on us researchers.

Lenny Murphy: Well, so our next story that we pulled in, and you found this, but it was great around, it's a good segue, right? The global data quality tools market, not just research, global data quality across the board, will grow from 2.3 billion to 8 billion by 2033. Yeah, driven by AI. So, we're getting this fit for purpose. How do we build these solutions that address specific business issues? And one of those is foundational. Yeah, is, is data quality in all of its permutations, not just, you know, survey, bad survey respondents, or, you know, but the Yeah, and I think report talks to the, you know, the entire data, the world of data, raw data.

Karen Lynch: So it's, you know, like, this isn't data for market research purposes specific, right? This is kind of data, there's some players on this list, like when you go to this list, or this, this report, and you look at you start to scroll, there's lists of companies and lists of tech, like it's a pretty keyword rich report, for lack of a better description, you know, that I think is probably driving traffic. However, there's this bigger picture of, hmm, what can I glean from this? Is there a competitor? Is there a company that's in an adjacent industry that's covering data quality that I can learn from? Go to this report and see, especially for those of you in our industry who are tackling data quality head on, you know who you are. Go check this out. Is there anything you can learn from it? Is there any inspiration you get from this particular article? Or particular report because data quality is a place to foray into, if you haven't gotten there yet, the time is now.

Lenny Murphy: Yes. I mean, go back to Yogi, right? They're synthesizing different data sources to address these workflow issues, et cetera, et cetera. Many of those data sources are not structured, asked questions. And so increasingly, all those issues I mean, we all see it. We see it in our feeds, our social feeds. I mean, there's lots of bots and crap and all stuff. That's an issue in social media, TikTok, whatever it is. But that doesn't mean that the data stream has pollutants. It doesn't mean that the core is bad. We just have to filter the stuff out. Filter the stuff.

Karen Lynch: And there's more and more stuff to filter, right?

Lenny Murphy: There is. That's what it is. There is, there is, you know, we have a Berkey water filter. Um, if you guys see that, it's a big metal thing and it has these proprietary filters. Supposedly you would like to put toilet water in it and it would be totally pure.

Karen Lynch: So, but the point with that chat, you know, I mean, Connecticut water and be okay, but it's a nice analogy.

Lenny Murphy: You know what I mean? You filter stuff out and it can be incredibly efficient. In fact, we just got to purify it. So yeah, anyway, shout out to Michelle.

Karen Lynch: So that LinkedIn user is, you know, my friend and colleague and former client, Michelle, of course, it's you, Michelle, like this is something happening. How many projects did you and I work on together that were all about needed states? So it doesn't surprise me at all. Didn't know it was you, but it doesn't surprise me at all. So I'm glad you are. All right, let's talk about some big stuff. About time we're like more than halfway in and we haven't gotten to the really big AI stuff yet.

Lenny Murphy: So, well, this was, we've been, we knew this was coming. Right. Uh, two, two articles. I think we are just kind of a group. Yeah. Uh, you know, Alibaba, their, uh, Osceo agent, which that's Disney, Harry Potter, Osceo wand, isn't it? Um, Osceo, Osceo, everything. It means, uh, uh, AI power B2B commerce assistant. Um, and then Walmart, L'Oreal, Amazon, all deploying AI chat assistants, Rufus, Sparky. We've been saying this was going to happen, and here we are, these very customized, personalized agents trained to help a consumer, or in case of Alibaba, it sounds like maybe also Enterprise, with their purchasing. We've talked about this agentic transformation beginning to happen with procurement, right? And we think about that as a term for enterprise. It is, but fundamentally it is how people buy stuff, whether it's URI or P&G. How do you buy stuff? Streamline that process. And boy, I don't think anybody has, we have not got our minds around yet. What does that mean for research? Shopper journey, path to purchase, advertising. Yeah.

Karen Lynch: And in the second article that Karley shared about the AI assistance from Walmart and all that, it does talk about the research that's done that's showing that shoppers actually prefer these tools. I think it was in that one. Maybe it was in the Alibaba one. But anyway, in any event, shoppers prefer the tools. And I started to sit there and think, do we prefer those tools? And I'm like, you know what? We also have gotten to a place where we don't really want a person to answer the phone. We kind of like the online ordering of, you know, of our Chinese food or our pizza or, you know, whatever we're ordering. Like we kind of like using Uber Eats rather than like, even us who are of a different generation, you know, we kind of like scheduling my vet appointments via the portal.

Lenny Murphy: Like as long as it's a good experience.

Karen Lynch: As long as it's a good experience, I kind of like the seamlessness of doing it through technology. And, and if I'm doing it in my shopping, I'm like, you know what, I'm kind of okay with it. And I say that with surprise, because I didn't think we'd really get there. I think like, there are times we all yell at our phone, you know, operator, or whatever. Like, you know, we all hit the zero like, like, of course, there are those times going back to your point about the experience, but we're getting further, I think we're getting further and further away. And I think it's becoming more and more acceptable for Yeah, let the chatbots and the agents take over.

Lenny Murphy: I'm good. For none, you know, we like, there weren't a lot of great things that came out of the COVID era. But online grocery shopping. That's one of those things. We're like, hell, yeah, this is great. Great, you know, I know, it's true.

Karen Lynch: We still do that.

Lenny Murphy: We still want once a week, Danielle goes in, she does it, and goes, picks it up. And, you know, it is so it is not an emotional investment in those songs. I think that's probably where the difference is the, you know, for routine things, yes, efficiency, you know, when there's more, I don't know how to work it. Let's say Christmas birthdays, right? Those types of things where, you know, we need to be a little more thoughtful. But I still see that it would be incredibly helpful. I'm a bad gift buyer. I'm not imaginative in any way, shape, or form. So recommendations help me find, especially in my life, what do you get for the woman who has everything? That kind of thing. So those can be incredibly helpful. And we're going to just see more of that. But whoever cracks the code to figure out what this means for marketing and advertising and then in research and how do we effectively understand those things?

Karen Lynch: Here's the wish I'm putting out there into the universe. Tim and I have separate Amazon accounts, right? Or whatever. I shop different online retail than he does, but come holiday time or my birthday in September, I would like him to become aware of what things I look at online. I don't really care, like, you've looked at this before. I'm like, yeah, no shit. If I wanted it, I would have bought it for myself. I want him to see, by the way, Karen's been looking at this blah, blah, whatever, you know, like, that's what I want so that I still get the surprise that the algorithm has served it up to him as if it's brand new. Like, come on, why haven't we figured out that yet?

Lenny Murphy: I'm sure you can vibe code that. This weekend, Karen. I am sure. A recommendation engine. But that goes into the segue into these bigger stories we hinted at in the very beginning, right? Where we are moving into rather than the experimental phase. I mean, there's still plenty of experimentation happening. But I think there is a real refinement of, okay, now let's make these tools do real work and solve real problems because that's where the path of ROI. Yeah. Yeah and adoption will come from it through addressing just various business issues. Yeah, we're getting that. So let's deep mine . This is still one of those things that was a really interesting conversation with Demis Hassabis I the DeepMind CEO, but talking about how really these solutions like Genie 3, the video stuff, right? I haven't played this video.

Karen Lynch: So full disclosure, friends, I have not played this video yet, although I clicked on it and I was like, all right, this is one I'll check out.

Lenny Murphy: Well, the core of it was the idea that there's a whole other piece of technology, let's say self-driving cars, right? Tesla. Uh, any of the, the electron vehicles with or tell any of the vehicles, right. That has cameras and et cetera, et cetera, pulling in data from the real world, right. From physical reality and feeding that into AI, uh, it's, and what does that, it's a whole other level of complexity. His point is it'll drive it towards AGI. My thinking is sure, but it also. Uh, creates the opportunity to combine, let's say your online behavior and your real world behavior, uh, create a better recommendation engine effectively that could be created in real time. And what if your virtual environment really does look like, you know, like a ready player in one kind of world, right? It is adaptive to you based upon your specific business issues, not your, maybe it's entertainment, but, uh, But the form factor of that, how that changes.

Karen Lynch: Yeah, and the use case for insights professionals and the lens I recommend everybody kind of look at this video with then is what does that mean for with your future lens, like towards your kind of, you know, scenario testing or thinking predictively, predictively thinking, kind of trying to be predictive for our market and what's coming down the path or for your business. Like, I think that there are some really cool use cases outside of just what the world is observing, you know, industry specific. Yeah. Yeah.

Lenny Murphy: But those data feeds are, this is the internet of things now really starting to play out. And of course that definition of things is going to change. I think I saw this week that Apple is rolling out a robot. Um, of course we know other companies are as well. I was watching before this, if I may, you want to see something weird to go look up the Chinese robot games. Um, this happened this week. It's like the Olympics for robots.

Karen Lynch: The thing is, I would love to say, I would love to say this is where you know, Lenny's going off into this direction. However, just this weekend, I'm talking to my parents, my parents are, you know, like 86 and 87. And my father is a little obsessed with chat GPT at the moment, because there's some things that Tim showed him that were really applicable to his life or whatever. And I was trying to explain to my mother, like, by the way, like, just picture r2d2. And C3PO follows you around as you work. I'm like, that's coming. So I, too, mentioned robots. And I used very specific fiction. What was fictional, your science fiction, at one point? We're not that far from me having a kid. As long as they're cute like that, I don't want them as tall as me. I want them to be cute. I want them to be pet-like. And I want them fluffy.

Lenny Murphy: I want them to stay looking like robots.

Karen Lynch: But I'm OK with a friend that I can then put to bed and say, okay, it's bedtime for you.

Lenny Murphy: I'll see you in the morning. We bought a new pool cleaner.

Karen Lynch: Uh, and yeah, we have my parents and one of those two little pools. It's Bob, but that's fine.

Lenny Murphy: We call it a tank. It looks like a tank, but it talks, you know, uh, my parents do not talk yet. Oh, it talks. I'm ready. I'm ready to go. And you know, which boat do you want me in? You know, uh, do you want me to clean the walls or just, that's what we need.

Karen Lynch: Tim Lenny, you got to email Tim the name. Of the one that you got because we can replace Bob with a talking one.

Lenny Murphy: It's pretty cool. Uh, I will, I will share it with you. Uh, anyway, so yeah, we have so much more to cover and we're just having a day.

Karen Lynch: It's a different kind of a day.

Lenny Murphy: It's all right. Well, but no, we're getting close. So that's, uh, now here's the cautionary stuff, right? So we've got a couple to get through here, all of this, and we're still in the experimental mode, truly from the standpoint of like maybe early in the adoption curves, probably better. There's still a really nice article from Markler, 73% of C-suite executives are concerned about data privacy and security with implementing AI, despite this potential. I think that's their own proprietary data, as well as not getting entangled in legislative legal issues with personal data.

Karen Lynch: Yeah, and I think that what's important about that is just, again, for all of you who are still wrangling like, oh, we We've needed our own, you know, our business strategy, we need our marketing strategy, we need our content strategy. By the way, you need your AI strategy for your use cases too, not just for what you end up communicating to your clientele, right? But you certainly need your own. You need your AI strategy to make sure that data privacy and security have been factored in so that you can talk about it authentically, right?

Lenny Murphy: Yeah. Right. And there are many companies that have built firewalls around that. Technically, there's a way to do it. Although it is still a little iffy because every piece of data feeds and trains it. There's some gray areas there. That said, a new report. This was on futurism. A lot of AI experts think that maybe we have plateaued, that the pace of change over development has slowed.

Karen Lynch: This one's really interesting. So when you read this one, sit with it for a minute. Because I read this and I thought, all right. And one of my first thoughts was, let's exhale. If this is accurate, if we've exponentially grown and we're plateauing for a bit, this is the time to catch up. Use this to catch up, because we don't know. Look, if we're about to keep going, even if we're just hovering for a little while, even if we're like, OK, use the time wisely to catch up. My two cents on that.

Lenny Murphy: Yes. And even the changes on the fringe, now, you know, well known that I'm not a chat GPT user, I use perplexity and grok, but I've been following the release five. And, it seemed like the feedback was that the improvements were marginal, but those marginal improvements were significant. Yeah. Yeah.

Karen Lynch: So I had to update my custom GPTs because they all, the ones I had created with, you know, 4.0 and and earlier , didn't work anymore. But what I did was when I created a new one, just just this past week, created a new one, deleted some of the old ones, created a new one, and it is exactly what I needed it for. So I'm like, I have no complaints about how this new one is operating. So I think that it 's like, you know, kind of regular users that are going to see it, but they have to, they have to kind of say, all right, let me and make some tweaks and adjustments.

Lenny Murphy: Right. So not revelatory, but better. And that's your point. So if we're at this thing where, OK, maybe the pace of change, of step changes, is going to slow down, forward. And in this era, I don't know what slow down means. It may just mean months, right?

Karen Lynch: But catch up, jump on board. And fun fact, Lynn, I had perplexity help me. Because that's how I roll. I'm like, I'm gonna ask, I need to ask, I'm working in, you know, in chat GPT on these custom GPTs, but I'm asking perplexity. How do I word it to train my custom GPT? Like I'm using all of them to like, like, and that's fun to do, by the way, like I'm doing something in chat GPT, how to use them, just I word it, cause you're way smarter than it.

Lenny Murphy: Anyway, the robots are good. Right. And then, uh, mixed public attitudes, the AI cross America report, um, this morning, So thank you, Tim.

Karen Lynch: Shout out because he does when he comes across certain things, but I don't think he sent it to both of us. I think he was probably thinking it was going to get to me faster if it didn't filter into the exchange, which he wasn't wrong. Yes. Um, yeah. Report about, um, where AI is in, in American society in particular, but, but one of the stats in it that I took notes on here is, um, half of us adults report using at least one major AI tool. Um, half. So that's pretty good. That's pretty good. Remember we were, we were, we were far below that, you know, not many months ago, but now we're like, all right, that's a lot.

Lenny Murphy: That's pretty good adoption. I am wondering how much of that was, uh, things like Siri, uh, and kind of the first generation, the chat assistants, if they're being classified that way, but whatever. I mean, it was still early.

Karen Lynch: Yeah. Yeah.

Lenny Murphy: So we're, yes. Option curve, we continue on. And then, last, a good Read from the folks at Every on a guide on building a sustainable career alongside AI. And the core thing was, where does it amplify? And I think we've talked about that a lot. There are certainly functions, but process functions, grunt work things that are replaced. There's no way around it. But most people, especially in our industry, the process is meant to an end. The focus is on the end. And that's where we think, how does it amplify that? And I think you're a fantastic example of that. I'm playing catch up. I'm getting there where I view it now as a force multiplier, not a replacement. And we all need to be thinking.

Karen Lynch: I was just sharing it with somebody earlier. I was forced to when I had a colleague who resigned last year and we kind of took a look and opportunistically it was like, let's not replace her and see what she can do. And I would say, how many months was I terrified? I was probably terrified through the fall. And then all of a sudden I was like, I gotta do what I gotta do. And I think that that's a part of it, as I was really forced to rethink everything and become the force multiplier by necessity. Because I lost a very small team to begin with. And when you're forced to adopt, you adopt. And what I liked about this every piece, to kind of go back to that, is it talks about positioning yourself. Imagine yourself where AI can't easily reach, where your skills are both scarce and make the technology more useful. So work on that for yourself and your career as we are in this. If we are in this plateau, this is the time. Take a look at yourself and your skills. But also it says what follows is a roadmap for doing that. This is all just quoted from the article, so you can pull this up too. Taking stock of your core skills, stretching into adjacent skills, and doubling down on human and capabilities AI can't touch. And I'm like, yes, that is the, you know, for all of the insights professionals, supplier side, brand side, that is, those are your marching orders, right? Like, take stock of what you can do, upskill what you can't, double down on the humanness of what you can do.

Lenny Murphy: Right, right. Even folks, and I would argue, and we'll wrap up, there are certainly experts in process in our industry. For instance, tabbers, coders, you know, those types of folks. And I have probably been unkind in the past where I've been like, you know, but the reality is the skillset is necessarily with the tech, with the process that you use. That was certainly a skill that is a necessary learned skill, but the thinking that went into Coding open ends, right? It requires thought. It requires, you're looking for patterns, you know, et cetera, et cetera. Same thing at quant, if you're a quant jockey, you know, you're looking for patterns, et cetera, et cetera. To your point, how do we translate those skills? Even if we think that we're, but wait, I do this thing, right? And this thing is very process driven. But the process isn't the value add. The process is simply the means to the end. The value add is how we think about things. Experience: To look at open ends, look at verbatim. Oh wait, that doesn't really fit wait There's you know, there's so much more that we bring to the table. Even if we think that we are task oriented I would argue that the foundation of every task is we are Cognitively oriented and that cognitive component is still what is different and that's the value creation. So anyway, all right, I'll go with my high horse. No, it's a good horse. It's a good horse.

Karen Lynch: That one I will let you stay on because I agree with you. Thank you. Thank you.

Lenny Murphy: Or, you know, I mean, until the robots just take over all of our jobs, but I think we still have a little bit of time for that.

Karen Lynch: Oh my gosh. Robot horse.

Lenny Murphy: There is one. Did you see the video? Building a Suzuki or Kawasaki building a robot horse? Seriously, bring it to market. It looks so badass. But I want a miniature. I want a little miniature pony.

Karen Lynch: No, you ride it. You ride it and it's like, it's like it replaces a motorcycle.

Lenny Murphy: I don't need that. I don't need it out there in the world.

Karen Lynch: I want to experience the world by myself. It's in my house and in my office. I want this little, imagine, picture this Lenny. I'm at IAX North America. And I'm like, oh shoot, I need to do this, or oh, I need to be on this stage, or I need to do this. And I could just say to my little IAX horse, hey, can you run this over to Bridget, or find Bridget, report back where she is, or like, this is what I want. I'm manifesting it out there into the universe that I want a little robot horse. Tim, perfect.

Lenny Murphy: Maybe not this year, but next year. All right.

Karen Lynch: Get her a damn robot horse. No, I don't need a robot horse. But anyway, let's move on. Have a great weekend, everybody. It's just another one of those gorgeous weekends up here in the Northeast that we deserve, because we haven't had it like all summer until the last few weekends. So everybody get out there, enjoy it. I hope it's good there, too. Stay away from the bees, Lenny. Isaac, you have it?

Lenny Murphy: Yeah, Isaac. You can have all the bees you want, so.

Karen Lynch: Okay, and we'll see you all next Friday.

Lenny Murphy: Yep, everybody take care. Bye.

Karen Lynch: Bye.

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