AI Agents Are Already Making Your Decisions For You

Check out the full episode below! Enjoy The Exchange? Don't forget to tune in live Friday at 12 pm EST on the Greenbook LinkedIn and Youtube Channel!

 

AI agents are moving fast, and this episode covers where the action is: from teenage founders building behavior-predicting bots to OpenAI embedding AI co-workers inside the world's biggest consultancies. Add in Salesforce swallowing up conversational data, platform giants racing to own agentic workflows, and real examples of LLMs quietly reshaping how people shop, and there's a lot to unpack. Dense, timely, and worth your full attention.

Many thanks to our producer, Karley Dartouzos.

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Transcript

Lenny Murphy: And there we go. All right. Happy Friday.

Karen Lynch: Oh, for real.

Lenny Murphy: Happy Friday the 13th.

Karen Lynch: Oh, it is Friday. You know what? This is the first time that, I mean, I've typed three dash, three slash 13, like six times today. And it's the first time it's even dawned on me that it's a Friday the 13th.

Lenny Murphy: That's right. That's right. Fun fact. Do you know why Friday the 13th is considered?

Karen Lynch: No, I mean, no.

Lenny Murphy: This was the day that there was a coordinated effort, I think it was like 1100, 1200, something like that, where they went after the Knights Templar. The Pope and many of the kings in Europe were concerned about the power of the Knights Templar, which were basically the first bank, for all intents and purposes, immediately. And Friday the 13th was the date of coordinated activity where these various kings and et cetera, et cetera, on this day raised their strongholds and arrested the Knights Templars.

Karen Lynch: It was a very unlucky day for a lot of people then.

Lenny Murphy: It was back then. So anyway, very interesting. But that was probably the 13th.

Karen Lynch: I'm not a superstitious person. So it's not lost on me that I would have just been like, yeah, just another day. Also, fun fact, we have my closest local friend who some people at the company met because she accompanied me on our trip to Bangkok one year. Her oldest son is getting married. He's my oldest son's best friend. They met when they were five. And he's getting married this weekend. And tonight's rehearsal and rehearsal dinner. And everything is dated the 14th. And I'm like, but isn't Friday not? Like, Saturday is the 14th. And she goes, yeah. I don't want memorabilia from the wedding with two different dates. It's Friday the 13th, right? Well, she didn't say Friday the 13th. She said, you don't want to have two different dates. So the whole weekend is the 14th. So in my head, the whole weekend is the 14th. So I must have had this like, oh, well, the whole weekend is the 14th this year because it's all about this young man's wedding.

Lenny Murphy: Well, congratulations to all involved. So weddings are a fantastic thing.

Karen Lynch: I will have a house full. I will have one of those weekends where you have sometimes when everybody descends upon you. That will be starting within a few hours.

Lenny Murphy: Very cool. Well, that's probably a good start because, man, you know, and guys. This is a scaled back brief.

Karen Lynch: This is significantly scaled back.

Lenny Murphy: There's so much. And it's just getting. There's just more and more and more and more. And yeah, so this is scaled back. But damn, there's a lot happening.

Karen Lynch: I know, I know. And we're starting high-tech because it all ladders down. But when I read this story about meta acquiring, I was like, are you kidding me? One of our biggest social media platform providers is like, look, if there's bots having a social media network, it's like, OK. So yeah, multi book, that's the one where the agents were all in there having their own little social media network.

Lenny Murphy: Just like yesterday, right? I mean, it was just created yesterday because we talked about it.

Karen Lynch: We were talking about the agents having their little chit chat conversation and doing their own thing. There's some big issues with it, right? There's some privacy issues. There's some human hackers, humans hacking the bots, which is hilarious, whatever. So, um, So yeah, but, you know, and in this release about it, it says, it's like, you know, not quite sure what, uh, what, what Metta is going to do with it yet. But I'm like, yeah, but of course Metta wants in like, of course they do. If there's, if agents are going to have a social media network, like they're like, not going to let that they're like, they're like, we're not going to be not a part of that.

Lenny Murphy: Well, and it's interesting because that is, there's apparently conversations happening there related to the brand. So it depends on what the agents are. Are designed to do. So as a source of data for the advertising is the number one revenue source for Meta. And of course, you know, nobody talks about LLAMA, but it is, you know, they're trying to be a contender in the whole AI thing. So it was a pretty, pretty interesting move.

Karen Lynch: Spoiler alert. And it's the very, very end there, you know, like other things there is, Anderson Horowitz shared their compilation of the top 100 Gen AI consumer apps. It's an interesting read for everybody. So spoiler alert, Karley, that's where it is, the very last thing. We can talk about it later. But all of them are there. All of the different platforms are in there. And it's interesting to see kind of where consumer use is, where business use is, what's growing, what's up and coming, who's on the list that we've never talked about, things like that. It's really an interesting list, so.

Lenny Murphy: Yeah, yeah, it really is. And could we, I'm sorry, I didn't scan all the way through. I don't know if we included Dan. There was an interesting article that you just looked for, that's fine if not on. Nobody really has a good handle on what consumer adoption of AI really is. And there was an article that I don't think made it in this week, and it's fine, but just look for it, of competing numbers. Which is just interesting as well. It's like, we don't really have a handle on it, but the title of it was, AI is much bigger than we think it is, based on some of these estimates that were made. And so keep that in mind.

Karen Lynch: Thus, some of the stories that we'll share today are some of these big moves. But you found this, or shared this Wall Street Journal profile on Aru. And I think it's R-U.

Lenny Murphy: I think that's actually how it's pronounced. It's A-R-U.

Karen Lynch: Of course, R-U is, oh my gosh, it's so interesting. So A-A-R-U.com, go to their about page. There's a link to the Wall Street Journal article, which is, you know, it's blocked. It's a paywall article if you don't subscribe to the Wall Street Journal, which I don't. But of course, I Googled it also, and I went directly to the site and looked at this team. When this says they are teenagers that have started billion dollar startups and they've, they're attracting big brands. That's what we're talking about here. These are young men who.

Lenny Murphy: The CTO was 15. His dad had to sign the incorporation paperwork. It's overachieving girls and stealing them. And just so people know, this is.

Karen Lynch: They are bots predicting human behavior. So they're talking about how bots are going to do a better job predicting human behavior than humans trying to predict human behavior, which is basically the business that we're all in. On some level, we are all trying to understand human behavior. And these teenagers have a billion dollar startup. So, oh my goodness.

Lenny Murphy: Well, and let's tie that together. And guys, if you're listening, hats off. I mean, my God. As an old guy with teenage children, I'm just like, rah. But hats off.

Karen Lynch: I know. It's a level of, and now I'm sure they have lots of help, right? Because they've got billion dollar startups. So now they have lots of help, but they tapped into something quickly. Their website is beyond professional, you know, so they've got great, they've got, they're gonna use their billion dollars.

Lenny Murphy: They're building an amazing business.

Karen Lynch: It just makes me think about like, you know, like teenage stars whose parents have to be involved in shaping their careers, you know, and it could go poorly and it could go well. I hope these young men are in good hands because.

Lenny Murphy: Yes, well, but in time that back to the mole book thing, right? So in this agents and guys, it's just, here we are, this is the, but the, so the ability for somebody, you know, 55 or 15 to have an idea and to execute on that idea, utilizing this technology, you've got a team of experts. You have a team of amazing experts from both the technical and maybe not experiential, purely, but knowledge to create things and scale them. That's why we're getting longer and longer on these sessions or on The Exchange because the barrier to entry is low and there's lots of new players coming in and we're trying to map out what this looks like through the cycles of business and it's just super accelerated. This is one fantastic example. And yeah, hats off to you.

Karen Lynch: Because somebody has an idea, and suddenly there's a new player in predicting human behavior that nobody thought about. They are teenagers. So anyway, there's so many other big picture things. OpenAI launched something called the Frontier Alliance with Accenture, McKinsey, BCG, Capgemini. I don't know if Capgemini is another big, large consultancy. I don't know. But anyway, deploying AI agents at scale in the enterprise. And there's in this release that we'll share an AI co-worker. Basically, they're calling these agents co-workers, which is what they are. Co-worker that resolves a customer issue end-to-end by pulling context from the CRM, checking policies, filing the update, and escalating only when needed. So it's discerning. This one needs an escalation to a human being. This one we can just handle by deploying. It's not dissimilar to agentic work that we've talked about, like Qualtrics has some agentics in play for relationship management, but this is being done with these large consultancies in the loop for training purposes, and Accenture, McKinsey, BCG, they're going to be making solid decisions. That one's a very interesting one to watch.

Lenny Murphy: What jumped out at me with that, and we were talking about this a lot the last few weeks, the orchestration layer. They are the orchestrators. So of working with these, you know, technology, helping their clients to deploy it around a line of business, so that human orchestration, human judgment, and consultative layer around the tools. So, and now we're seeing that at macro scale.

Karen Lynch: Yeah, like Salesforce, too. Let's talk about Salesforce.

Lenny Murphy: Salesforce buying momentum to bring conversational insights and third party meeting data into agent force. So synthesizing data things. I had not heard of momentum before. Um, the, uh, uh, but when you see these words, insights, uh, popping up an awful lot, you know, where you don't expect them. And this was an example of that.

Karen Lynch: And they called Momentum's universal ingestion engine. And I'm like, an ingestion engine? That's interesting. Integrating AgentForce and SlackBot, which if you're in the Slack ecosystem like we are, we know what SlackBot is. It pops up frequently. Capturing interactions from third-party video ops, including Zoom and Google Meet. So you're having a meeting with a prospect and it's being recorded and notes are being and then the next thing you know, that's going right into your Salesforce data integrations. And you didn't have to do that because the agent's taking care of it for you. So you're meeting note takers going in and updating your Salesforce data and then triggering whatever other Salesforce agents are baked in there. So, mm-hmm.

Lenny Murphy: Decreasing friction, taking down silos, synthesizing information. And actionability for human judgment. Um, go back to what you and Susan talked about a few weeks ago. And that is, you know, so powerful as a concept for us. There we go. Um, the, uh, same thing, the next one, Connor, uh, you know, 15 seed funding, um, which seems like, you know, after a hundred million, where are you? It's like, Oh, 15 million. No hats off guys. It's, it's, it's, I'm not.

Karen Lynch: No, it's still $15 million. Yeah, absolutely.

Lenny Murphy: No, it's just interesting. How the venture, how capital markets are adapting in some of these things, but congratulations.ogenic AI on their own data to help accelerate, you know, with the marketing teams. So that's a workflow play. I'm sure that the jazz hopefully looking at that and, you know, cause every company, whether you're big or little, you know, that is such a painful, uh, friction point of, of marketing implementation and management. And, you know, we're, here's another example of going after the workflow.

Karen Lynch: And when you read this release, I didn't, I didn't know, I didn't know this company was founded by two people, Tom Chavez and Vivek Vaida. Um, and this is their fourth venture together and what, the other things they've started have been beautifully acquired by large players, including Microsoft. So they are a duo to be paying attention to. So I'm sure this will go well. And it's also another indicator that, look, they've done this before. So they have that ability, that entrepreneurial ability to kind of see what's coming next and launch something that then gets acquired. So the two of them have a big track record here.

Lenny Murphy: So, yep, absolutely.

Karen Lynch: Good times, good times. All right, let's bring it back down to the industry level, shall we? Like, instead of these things that are out there, because we'll connect some dots here. Data Quality Co-op partnering with Dig Insights. What was interesting about this, they're, you know, they're, they're embedding the data quality validation across Dig One, which is the Dig Insights platform. But it says in here, Dig is the first agency, the first one to bring the Data Quality Co-op's intelligence infrastructure into an end-to-end insights platform. And when I read that, I was like, OK. And I started to think, I guess this is the first one we're hearing of that fully integrates the work of the data quality co-op. We've talked a lot about data quality co-op, and they've spoken at events, and they're doing great work. But this is the first time we're seeing an integration, like a commercial integration. So I found that really interesting.

Lenny Murphy: They're speaking with Mark Hardy from Walmart Data Ventures. I don't know if they've integrated, but they're certainly collaborating. And that's a different play than the rep datas and the other guys. They're trying to establish benchmarks overall that detect the signals post-filtering. So, good for them. That's cool stuff. Do you recognize Fair Response?

Karen Lynch: I do recognize Fair Response.

Lenny Murphy: Shout out to the Gersh. Shout out to the Gershner.

Karen Lynch: So, Behavix partnered with Fair Response, bringing behavioral intelligence, et cetera, et cetera, which is what Behavix is all about, a behavioral data company. The Fair Response Partnership, that's an online panel company that Matt Gershner and I don't know, John, but have done. And of course, Matt, at one point, was employed by Green Book, so we all know him well. And yeah, good for them. It's a great example of an AI-driven company making sure that they've got a panel that they can rely on and that they can trust.

Lenny Murphy: And with the signal, if we go back to the synthetic, the combination of behavioral and attitudinal data.

Karen Lynch: Do you have a cat now?

Lenny Murphy: Oh, I've always had a cat. Yeah, sorry. Do you hear the cat?

Karen Lynch: Well, but I don't think we've ever heard of cats before. Sidebar, you always talk about your dogs. You don't talk about your cats.

Lenny Murphy: We have two cats and three dogs. And he's whining. I love that. So anyway, please continue.

Karen Lynch: It distracts me all the time.

Lenny Murphy: Yes, that is Aries. Oh, but I will tell you the story about Aries here. But remind me what they tell you about it. All right. Well, so Matt. Matt and Hanu Ipehavix, the you know, there there is so much happening with these kind company with Curious, Behavix, M4, Disco, you know, all of these folks that are building these behavioral data sets combined, adjacent, connected to at the individual level to traditional data, data collection. And it's to drive synthetic and new models. I mean, that is the, that's the demand there. Behavix is building a network of And so is Curious and a couple others. But we've been talking about this for a long time. If you're a panel company and it's an asset, that asset is amplified when you have more than attitudinal data. And here's another example of how that can be amplified.

Karen Lynch: And let's sit with that thought as we start to talk about some of the other kinds of tech developments in the world, let alone our industry. The connective tissue for what we, what we're just talking about and what we're about to talk about is your business may not be the, the, you know, the limit to your business if you bring in the right partnerships. So for instance, you know, Google is now, um, you know, who, who had their, you know, Google docs, Google sheets, Google slides, and they've got Gemini and now Gemini is integrated. And the next thing you know, they are, they are coming after open AI and chat TPT. In a very different way. If you go to, you know, spoiler alert, the Anderson Horowitz report, you'll see that GPT is leaps and bounds ahead of everybody else in the race right now, but Gemini is very quickly approaching, and that's interesting. It's got a long way to go, but, you know, and Google is kicking some ass right now in what they're doing with their integrations, and now they have another, this Pomeli, did you read about it? About this. It's going to be a new AI tool for SMBs. Oh my gosh, I'm drawing a blank.

Lenny Murphy: Yeah, for marketing, right? I mean, it builds all of you.

Karen Lynch: Brand marketing campaigns. So yeah, so like, they're now building the ability to like Google, like now, because of course, there's something in it for Google, but now they're doing marketing campaigns. So Google, who you might have always thought of as this is our search browser, And yes, OK, they have the Google infrastructure, Google Workspace with Gmail and all that. But now, guess what? They're also going to be doing some marketing consulting here, too.

Lenny Murphy: Well, and think about that from the standpoint of, so I saw something this week that YouTube is now the largest media company in the world.

Karen Lynch: Yeah, yeah, yeah. Yes, that was, yes.

Lenny Murphy: So think about it. So they are the largest media company driven by advertising. Plus you've got Google Search driven by advertising. Advertising is the number one revenue stream for Google. That is how they make their money. And so there's this enterprise infrastructure that they're putting in place to challenge Microsoft, the run your business off of Google, and now adding very specific capabilities that tie that enterprise infrastructure into specific functions like marketing and automating that process. So can you run your entire business off of Google, theoretically you can, at least to some extent.

Karen Lynch: And Gemini's doing pretty, like, you know, cause I've been, obviously we're in the, we use the Google workspace. Um, you know, we internally at Greenbook, I know you're using co-pilot over there at Gen 2 and, um, I'm giving Gemini a good fair chance here. And I'm like, okay, like you're doing okay. I see you Gemini, like you're, you're, you're growing. Like, it's, it's very interesting.

Lenny Murphy: So I love notebook LM. I use notebook LM every single day. Even so, it's not quite integrated yet, but I know I'm like, it's still a different step for me.

Karen Lynch: That's so interesting. It's not quite there, but it's getting there. So it will be.

Lenny Murphy: And then I, so Claude, uh, that just announced now they charts and graphs and diagrams and visualizations. Haven't tried that yet, but because I like, Yeah, it's set in that battle for who owns the enterprise architecture and infrastructure, right? That's the battle. Remember, Claude is tight with Amazon, so yes, or anthropic and Amazon. On, but also with Microsoft. So, you know, who's going to win? I, I don't know.

Karen Lynch: Well, and yet Tim is saying, by the way, you can reference your notebook LM when in Gemini chat. So we haven't done that yet. We're going to do that. We're going to do that. Um, so, so zoom, you know, we were talking about Salesforce, uh, you know, having the zoom integration and agentic work pulling from that unstructured conversational data. Um, well, zoom, is also throwing their hat in the ring. Because Zoom's like, OK, you can integrate with us. But also, we can deploy agents based on our interface as well. And I'm sure that's just a matter of time for Google Meet, for example. The notes are being taken in Google Meet. I'm sure they'll be saying, shall we set up a follow-up meeting any day now. We're literally the agentic, because it has my Google Calendar. So I am sure the meeting requests recording is now expanding these platforms. Zoom was video calls, right? I mean, it, it, it was video calling and now it's going to be in agentic workflows and, um, yeah.

Lenny Murphy: Uh, yeah. Good point, Tim. They are competing and I have a prediction here. Zoom is going to get bought by either Microsoft or Salesforce. Or potentially open AI. Maybe Claude, but my likely candidates would be Microsoft or Salesforce. So this system, you know, they're competing to, oh wait, you know, we can be a part of your infrastructure too. Get pulled into a larger system and it'll decrease barriers of data utilization, yada, yada, and we'll just create more synergies. So, uh, so Tim, to your point, yes, they're competing, um, but there will be consolidation coming because it just makes too much sense.

Karen Lynch: So, but he's right in that the winner is the consumer. It is us because we have a choice because we have choice. And because we also are getting the benefit of the product feature launches that are meeting our needs. We didn't even know we had, thank you very much.

Karen Lynch: But, um, yeah, yeah.

Lenny Murphy: Keep it up guys. Keep, I mean, the arms race. Be hard to keep up with, but it is good from an innovation standpoint. They keep challenging each other to, you know, Hey, watch this, you know, hold my beer.

Karen Lynch: Hold my beer . We should do that next time. Anyway, anyway, because that's what that should be like for each bullet point. Hold my beer.

Lenny Murphy: It's like, you know, ridiculous on an old MTV member, the, uh, or, uh, jackass or those shows, but, but not stupid, like doing good stuff.

Karen Lynch: Um, AJ, I, I, we saw, I saw open claws because of some internal work yesterday for the first time. And I was like, Oh, this is how the multiverse was built. Like it all made sense to me. So if you haven't checked out an open claw, um, and you are at that level where you can say, let me check that out. Some of you probably are like, slow down, you guys, like I'm not there yet. But, um, if you haven't checked it out and you can see some demos of what people are, what you're capable of building in there, it's really quite astounding.

Lenny Murphy: And one note of caution with public surplus is to do PSA on that as well. It's still saying, don't turn this loose on your default. So it seems like everybody he's buying, what is it? The little Apple hard drive, basically the little mini Apple computer, uh, like hosted on that, put, put it on that, not on your machine. Um, and, uh, and go from there at least for now. Um, although it does appear, um, perplexed, they launched their version. Claude has their version now. I mean, everybody has their own version, so we'll see how it goes, but, uh, but be, be cautious of giving them the keys to the kingdom. So, yeah.

Karen Lynch: All right, a few more things. Let me take a sip of water. But these are getting back down to, you know, we went big back to the industry. So tell them about Circona.

Lenny Murphy: Yeah, so Circona, that's, you know, the old, you know, MPD and IRI and, you know, they're a massive player in understanding what happens at the store level with consumers. They launched their Complete, why? And AI-enabled, and he's probably, just, you know what they did.

Karen Lynch: Yes, we have to keep saying it's an AI thing, yes.

Lenny Murphy: Yeah, decoding CPG signals, sales performance. So, and think about this, right, from our industry, you know, we, there's, I always think about it as three phases, engage, understand, and activate, right? And activation, that signal is what people buy. So, and that is what Circona is focusing on, is understanding the decoding signals of what people buy. Then the next piece would be, and why, and then how do you get them to buy more? Because that's the name of the game. So, using AI to pull all this data that they have and making that more actionable for brands, for manufacturers, to, oh, people really like, you know, this one is positioned here and on this shelf and at this price point and, you know, do more of that and we'll sell more units. And I mean, that's the name of the game. So good to see them doing that. InfoTools, they shout out for a long time, they were a partner for us with Grit as well. And they've updated their Harmony with AI guided data exploration, smarter analytics and And it was always, I always loved InfoTools as a platform. It was really good. And now they're shifting from kind of the dashboard, you know, point and click type of model of data exploration to the query and the data and building it on the fly that way. So that's just like Claude.

Karen Lynch: So this, this, we don't always share stuff like this. But you spotted that Kroger appointed an 8451 president, Milan Mahadevan, as chief data and AI officer to lead a gen AI adoption across the company. And I started to think about, I've shared before, like at one point I was doing some qualitative for 8451. So I was involved with this organization, but I started to think about Walmart data ventures. And we know that this is, that they are going to be leveraging their data as well. They're not as vocal about it as Walmart is, or they're not as out. I don't know what the right, you know they're doing it, it's Kroger for heaven's sake. So they are, and now they have a chief data and AI officer to lead the agentic work. So I am sure these moves are happening at Kroger. That makes perfect sense to me.

Lenny Murphy: Yeah, and that was exactly why that jumped out. And 8451, they attend IEX. I mean, they're both a supplier and a client, right, within the research space, you know, and...

Karen Lynch: Oh, I mean, I just remember the first time I moderated a board for them, and it was on the beverage aisle, and I had in the virtual backroom clients from all of them, I think I've said this before, like from Coke, from Pepsi, from Keurig, Dutch Pepper, and I was like, how do I do this? Like, how do I, like... How do I make sure that I equally represent all of the brands in the back room? Because we're talking about the beverage aisle. So it was very interesting to have that sort of non-proprietary for Kroger, but service to the brands in the aisles collectively. It was an incredibly interesting business model. And anyway, I loved that work, actually, because it was very category exploratory, obviously. I love it. And that was a sweet story. Spot for me.

Lenny Murphy: But um, well, let's connect.

Karen Lynch: You know, they're sitting on a ton of shopper data and they have a shopper community here. So they have a lot of, you know, insights, intelligence.

Lenny Murphy: Well, and they have the Kroger plus, right. The, uh, which I mean, we remember Kroger is the largest, they're the largest grocery chain in the United States.

Karen Lynch: So, and they have, they have a whole, they have all of the Fred Meyer and, and all of the there are some that up here in New England, we don't know them all. Like, we are not in that circle of brands, because they're not all here.

Lenny Murphy: So yeah, but you know, right, but they have a loyalty program, which is effectively a panel. So right for all intents, purpose, they have a built in incentive system. No, you earn points. And we use it every week when we go to the gas station.

Karen Lynch: Well, I think they all do. I mean, you know, at Thanksgiving time, you use enough points at ShopRite, you get a free ham or a free turkey. They are certainly checking all of those people that are then, oh, I'm pretty motivated to get a free ham here. But they know how much, they know the exact number of dollars you need to spend before they can give you a free ham or a free turkey.

Lenny Murphy: One hundred percent. And targeted offerings based upon shopping, et cetera, et cetera. And you get the right coupons. So I'm going back to Sarkana, right? So Sarkana is looking at all of these players Yeah, and that's the the potential flaw of a Walmart or Kroger or any of these they understand what's happening in their ecosystem They don't understand what's happening outside of their ecosystem you know the but you know, they're a Lot of money being spent with them already and the just to build on that even more, it's, yeah, interesting world that we live in. So hats off to Millen. He's spoken at IEX before, I believe. And so congrats for- Cool, cool stuff. Let's talk about this MediaPost piece.

Karen Lynch: So MediaPost reported that ChatGPT is more likely than Google AI overviews to criticize brands as conservative. Is moving closer to purchase. I feel like, did we talk about this last week? Did we, like, I feel like I've talked about this with somebody, so, but let's go there in case I'm imagining it and I had a dream about it. I don't really know, but this idea that Google AI overviews telling you what to buy versus chat GPT telling you what to buy and serving up options and Amazon telling you what to buy and serving up options. But suddenly a different kind of bias being introduced to the shopping process is what my brain is struggling with. As a shopper, as a consumer, I am now getting different levels of critique to the potential purchase, different pros or cons, different decisions served up based on where I am in my life, I can't argue, I can't wrestle that one.

Lenny Murphy: So that is, there's a whole other, uh, ask what does brand mean when it is the AI assessing the product versus the consumer. So there's so many dimensions to this. It is hard to wrap your head around the, uh, and you know, is this relevant to buying a car? Probably not as much. I mean, that's more, I think, a human...

Karen Lynch: Well, maybe. What if... Let's use a car. We just bought a new car. Transmission blew on one of our cars. We need a new car. It's time for Tim to get a new car. Next thing you know, we're on Reddit, right? And we're checking out what people on Reddit are saying about different cars that we were looking at. And it was very interesting to look for cars in a different way. And there was a search happening, right? And I imagine And hindsight, I can't go back and look, and Tim was doing most of the searching. But it would be interesting to think about a large purchase if Chachi Petit is actually saying some negative things about some cars that maybe you wouldn't be getting if you were looking at it in search. And are they influencing big ticket decisions like that based on, give me the pros and cons of car A versus car B, and you're getting serves up two different points of view based on where they pull their intelligence from And the next thing you know, your car purchase decision-making is changing because you're in Google versus ChatGPT. That's cute. That's enormous.

Lenny Murphy: Yeah, yeah.

Lenny Murphy: Well, you nailed it. And we don't have a handle on it. We don't. By any stretch, right? I know there's a lot to do, go back to the company, like behaviorics, et cetera. So the behavioral data, a big push for those companies is to understand what's happening inside AI applications on that very front, right? To understand recommendations, et cetera, et cetera, because it changes, you know, all of it. So we are in a wild west. If you're a brand marketer, the quandary is, do you have the right data on what's happening that's driving purchase decisions? And now it's fundamentally different channels based upon the LLM, to your point, right, and what's driving that, and the data they're using versus the data the human is using.

Karen Lynch: And here's another thing. And Tim just shared how Jim and I were very involved plotting out our day of car shopping, because he knows that- Car shopping sucks. He knows that I'm like, I'm going to hit a wall way faster than him. Going to happen. Anyway, we handled the day beautifully because we had AI assist to even map it out. But it gave him a different type of information when he was working with Gemini, even at the dealership level. He knew there were certain cars on the lot at certain dealers. So he was a much more informed consumer going into certain dealerships even and which dealerships in the area should we go to like we made very specific decisions because Gemini is the one, because of Gemini input in advance. Would we have made different input if it wasn't Gemini or different decisions if it wasn't Gemini? Maybe, like that's what we don't know now. So if anybody's out there buying a car, do some experimentation. Check it out. Let us know. That would be very cool use cases for this particular Gosh, it's an interesting world, Lenny. So interesting.

Lenny Murphy: It is. And speaking of interesting, and speaking of your husband, should we? Let's announce next week, you're going to be at the Qualtrics Summit.

Karen Lynch: I will be at Qualtrics X4 Summit. So if anybody in our audience is going to X4 Summit, shoot us an email, theexchangeatgreenbook.org. And let me know that you're going to be there, because I will not just bump into you with 10,000 people there. So it has to be deliberate. Dance encounters don't really happen there. But yeah, I'll be flying out to Seattle. I'll be able to meet Karen Bridget, who is out there, which is exciting. We're going to have dinner before I fly back. So that's where I will be. So I will be flying home from Seattle on Friday and unable to go live at noon. So Tim will be joining you.

Lenny Murphy: Tim Lynch will be the co-host. And we still get the Lynch-Murphy dynamic, just with a twist. So yeah, with a twist.

Karen Lynch: If you have not met Tim Lynch before or understood why Lenny knows him well, Tim was in the insights industry for a while there. He worked at Focus Vision as their head of marketing. And he worked for, gosh, Odin Text before it became Odin Answers for a while before he walked. So he has a bit of intel about the insights industry. Now he has shifted completely into change management At the enterprise level, he works for large consultancies on change management for their clients. And he uses Insights in his current job. So he leverages all the tools. So he's still pretty versed on everything that we talk about. The Insights industry knows Lenny historically, and has the pulse of the Insights industry. And he will step in next week, as he's done before, but now we have a much more mature show than I thought when he guest starred.

Lenny Murphy: So the audience will know Tim. And we'll, uh, we'll probably have more of a conversation as obviously we'll do what we always do. But, uh, but I suspect by Tim's, Tim will just tell you this, the listeners with so much happening at the kind of the macro infrastructure, you know, major technology, um, uh, level and the challenges of transformation, that will probably be a very specific lens that we dig into. To a little bit more next week.

Karen Lynch: And also, oh gosh, I forgot the name of the company, Tim. There's something else that I said. You can talk to Lenny about that when you're on, because he was telling me about it. It's the company that's purely, Tim, what's the name of the company if you're still listening? It's a purely AI company. It's a non-human company. Remember we were talking about that? Zero human? Zero human company. And Tim was like, I've been telling you about such and such a company. And I said, you know what? Been able to ingest everything that you're telling me, because I hadn't had the zero human conversation yet, and now it all makes sense. And then he said, you should talk about it with Lenny. And I said, you can talk about it with Lenny. So you will be talking about that next week. I forget what the name of the company is that he shared with me, but he's got a whole.

Lenny Murphy: And let's end on that note, because here's the optimistic piece. Last week, we were kind of like, oh, a therapy session. That's true. But here, go back to the RU, where we started, and MOPA. I believe that we're, the entrepreneurial ability to create new companies is, I think we're just, we're gonna see an explosion. We already did the Insight Innovation Competition, right? Almost 40 companies that entered. Um, the, so is all of this seems, you know, overwhelming the ability to take an idea and execute it. And, uh, I just feel like I have coffee on my mustache. Um, uh, it's so much easier to do. And I saw something earlier today that somebody made a point. Like, look, if you've got 500 people paying 25 bucks a month for something that you create, that's 150 grand a year. So you can build really neat, decent lifestyle businesses that can scale via this technology. So think about all this change, embrace it. Because to that point, man, I keep thinking, what's the zero human company in the inside space, right? I'm thinking about it, right? So, you know.

Karen Lynch: Yeah, so Tim just shared, it's Pulsia, P-O-L-S-I-A, pulsia.com. For those of you who want to go down the rabbit hole, there's also a, in a subreddit, agents of AI, by the way, I see in Google search, like, do you know Pulsia? It's an agent that builds startups from zero to one. You know, an AI that runs your company while you sleep. Pulsia thinks, builds, and markets your projects autonomously. Like it plans codes and promotes your ideas. Like, so check out Pulsia for the deep dive, because I'm sure Tim and Lenny will be talking about it next week. Your only danger is going to be just geeking out so much that you don't hit industry news next week.

Lenny Murphy: We will hit industry news. We will hit industry news. But I actually, I encourage everybody, no, we will talk about infrastructure because it's important. And as we just touched on, right, because in effect, during periods of disruption, it creates opportunity. And, we need to keep that in mind. Through all of this, it creates really significant opportunities. So I mean, that thread, you know, that email that I sent this morning, just casually, like, hmm, you know, there's just so many different things that can be so many possibilities.

Karen Lynch:  Yeah, it's a world of possibilities.

Lenny Murphy: So yes, it's a game changer for small businesses. I agree. It's a force multiplier. I saw We'll wrap up this. I saw something this week that said that it was a 10x multiplier and productivity for individuals. Now they went on to say but not in a server company. Well, but if you're an individual who owns the company, it is a 10x multiplier for the company. Yeah, so yeah, I think it's the superpower It level sets and allows us all to punch way above our weight in a variety of ways. So yeah. All right. Happy Friday Enjoy the weddings.

Karen Lynch: Happy Friday. I will, I will. I just, the, the, my friend shared a picture of, um, of the groom and the bride, you know, practicing their first dance. And my first thought was, Oh my gosh, Connor's dancing with the girl. Like it was because I've known him since he was five and I'm having all these heart feels for like, Oh my gosh, it's so cute. It's so cute. Um, and you know what, he, uh, he just, uh, at a young age has already retired from the military. He served, he was over in Iraq and he is home now. Thank the good Lord he is well and officially a veteran. So it's going to be a very celebratory weekend for all of us. So I will be quite happy in my space. I will report on Qualtrics the following week and let you know everything that's going on there.

Lenny Murphy: I wonder what they'll be talking about. Well, they will definitely be talking about, I don't know, AI, but also Um, I get to see Pitbull. So, okay.

Karen Lynch: All right.

Lenny Murphy: Well, make sure you have video.

Karen Lynch: So I was like, you know, one year they dialed up the killers, they dialed up the backstreet boys and this year they're bringing out Pitbull. So I'm like, seriously, it's just hilarious how they cater to a generation. Don't they?

Lenny Murphy: It is. They had a journey, uh, early on too. Um, the, uh, yeah. All right. Well, enjoy. Have a great weekend. Thanks, everybody. Tim, looking forward to talking to you next week. All right.

Karen Lynch: Bye, everybody. Have a great weekend yourselves. It's not all about me.

Links from the episode:

Meta acquires Moltbook, the AI agent social network 

The Wall Street Journal profiles Aaru 

OpenAI launches Frontier Alliances with Accenture 

Salesforce Signs Definitive Agreement to Acquire Momentum 

Kana launches with $15 million in seed funding 

Data Quality Co-op partners with Dig Insights 

Behavix partners with Fair Response 

Google expands Gemini across Workspace 

Google’s Pomelli is positioned as a new AI tool 

Claude now creates interactive charts, diagrams and visualizations 

Zoom unveils new capabilities 

ChatGPT More Likely To Criticize Brands Near Purchase 

Circana launches Complete Why 

Infotools launches Harmoni 3 

Kroger names 84.51° chief to oversee AI efforts 

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