Exploring AI in Market Research and Creative Industries

Check out the full episode below!

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Karen and Lenny explored the various platforms for accessing the show's content, and the unique style of their in-depth guest discussions. They showed excitement about the increasing event registrations for the North America event, and noted the high volume of competition applications.

Discussions also covered recent product launches, focusing on the importance of high-quality data and AI integration in market research. They touched on AI's growing role in creative industries, as illustrated by iVisual's AI branding intelligence tool. This suggests a wider trend towards using AI in market research and creative work.

The conversation extended to the implications of Microsoft acquiring a French AI company and the European Union's AI-related initiatives and laws. They expressed concerns about the potential risks of AI, especially when providing critical societal and healthcare information. Both emphasized the transformative nature of AI technology and the need for responsible experimentation and management in the dynamic AI landscape.

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Many thanks to our producer, Karley Dartouzos. 

Transcript

Lenny Murphy: Happy Leap Day, Karen.

Karen Lynch: Happy Leap Day. It's so funny because there's, I looked at the, Google has a really cute little, you know, little sketch today that I stared at for a good long time before realizing, Oh, it's, it's a frog. That's a leap pad. Like I get it. It's Leap Day. So super cute. Google, if you haven't looked at it yet.

Lenny Murphy: I did. I have not looked at it, but I will, you know? Yeah. Well, and from the audience. You know, obviously you're used to us being on Friday, but we're pre recording Yep of the year, right? It's your lucky day if you're checking this out And primarily because Karen you're about to go to travel around the world.

Karen Lynch: Yeah, I'm flying to Bangkok tonight from the New York area. So after we're done with this recording, my day gets pretty pragmatic about what do I have to do to actually, by the way, take the suitcase out of the attic, which is just kind of a ridiculous thing that I'm, oh yeah, I'm flying to Bangkok in a few hours and I haven't packed, but it's fine. Everything's gonna be fine.

Lenny Murphy: Passport?

Karen Lynch: Yes, yes, yes. I have my passport, I have my global entry card, I have the app. I haven't checked in yet because we're flying. We actually have a stop from New York to Bangkok. My stop is in Istanbul, which is actually the last flight that I took that was of considerable length to Istanbul. So I think it's really funny that I'm going to change planes in Istanbul. This is a long flight. So anyway.

Lenny Murphy: Istanbul or Constantinople?

Karen Lynch: Yes. Well, you know, you know, you know, it's a little dated at this point. They still think of calling it Istanbul.

Lenny Murphy: It is. Sorry. Yeah. The old, uh, it's an old song. Yes. In Istanbul, Constantinople is, uh, except from the eighties.

Karen Lynch: What was that from?

Lenny Murphy: Was that from the eighties?

Lenny Murphy: Um, uh, let's move on. The closest, hopefully, we ever get to me singing live.

Karen Lynch: Oh my goodness. A lot of fun. Fun. But yeah, so no, I'm excited for that. And I'm actually excited because, spoiler alert, you're going to have a special stand-in for us next week. So I'm really excited for you, because that'll be fun. I am.

Lenny Murphy: So Natalie, our producer, and Natalie are awesome and cool. And not that you're awesome and cool, too. But I think it'll be a lot of fun.

Karen Lynch: I think that Natalie, for those of you who know from all of our event coordination, Natalie really is my partner when it comes to curating speakers and she produces the podcast and she's just sharp as a whip too. So I think you'll have a great conversation and I'm actually looking forward to catching it at some point after the recording. So fortunately, there's a lot of ways to catch this show after the fact, aren't there Lenny?

Lenny Murphy: There are, Karen, so please, please go on, tell us more.

Karen Lynch: Yes, well, obviously, if you subscribe, if you check it out on YouTube, you subscribe, like and subscribe is what Lenny and I always say, right? Then you can always have that content coming back to you and in your new releases. If you catch it live on LinkedIn, the best thing to do is say you're attending that event, because then I think it shows up in your feed. But also we have started pushing out the recaps via our article ecosystem on Tuesdays. So the first one went live on Tuesday. So if you go to our insights landing page on our greenbook.org, you'll be able to catch the first kind of repurposed exchange episode in article form. So it links to the video on YouTube so you can see it there, but also has the transcript for accessibility. So yeah, so we're bringing this to you in lots of different ways. I think that's pretty cool.

Lenny Murphy: It is pretty cool. And we won't give it away, but we're thinking, had a great conversation this week about even more ways to do this. I think we're getting a handle on this multimedia thing now. And so stay tuned. We're going to give you even more options to absorb all of our content, including the exchange, or at least that's the plan, when the team can lift their heads up and take a breath.

Karen Lynch: Yeah, yeah. And I think speaking of, you know, our multimedia nature, if you are not checking out our podcast, we also just wanted to point out that you can find our podcast on all of the places where podcasts play, right? I listen to it on Spotify, actually, but it's on Apple podcasts, and it streams to a few other devices as well. You can find it on our website. This week's podcast I hosted, and I'm really excited about it because it's with the founder of Athletic Brewing, which, by the way, in the non-alcoholic beer category just beat out Heineken and Budweiser for non-alcoholic beer. Million brand from, you know, like basically craft brewing in his basement a few years ago. So a really great entrepreneurial story from a man who had no idea he'd ever be an entrepreneur. He just saw a gap in the industry. And what a white space innovation story. So really check out our podcast there. And it's, you know, it might be competing with an episode that you hosted down the road or anyway, tell the people about that one, because I think that was you with Linda, correct?

Lenny Murphy: Well, which was Linda the Walmart yes, that was still our highest ranked or most listened to podcast episode with the the launch of Walmart illuminate which is You know interesting kind of evergreen content. I do want to point out because we brought this up yesterday an internal meeting Somebody had mentioned. Oh, I we watch your weekly podcast and They're referring to the exchange which is not how we had thought about it So that so if you haven't checked it out, the Green Book podcast is a long-form conversation With a single generally single occasionally without you know, it's kind of a small panel minutes roughly four minutes to an hour Conversation with one person on a specific topic. Yeah, very different. We envision the exchange as really kind of a weekly news recap and commentary. But apparently people absorb the content in a very similar way. And that's why we do all these interesting things. But, do check it out if you have not, because there are some really wonderful conversations in there. Karen and I tag team back and forth on hosting the, we look for the unexpected. And I think we often find it. We've had, I mean, I have cried on our podcast unexpectedly with some of our conversations, and that's what we're looking for, is just an organic, deep, good conversation with great people doing cool things.

Karen Lynch: I have been told my entire life that I'm a very emotional human being, and it just kind of cracks me up that in the last week we've had two references to you crying and me dry-eyed.

Lenny Murphy: I'm just a big softie.

Karen Lynch: My family would have a laugh about that in general. They'd be like, really? Someone's beating you in the crying department, Karen? That's pretty funny.

Lenny Murphy: I had to give up watching ER back in the day, because I just couldn't handle it emotionally every time. I was like, I just can't. I don't want to watch this anymore.

Karen Lynch: No, tears like that are good tears. It's because Lenny and I both have a ton of empathy to give. And I'm not saying that at all facetiously. We are just those people, which is why we enjoy this so much in our like minds. The podcast is very different, because you don't get us interacting, except on occasion when we're debriefing an event or something. You just get us and our guests. So anyway, so go check those out.

Lenny Murphy: And do you want to do our final plug before we dive into the news? Because there's a lot to talk about this week.

Karen Lynch: Yeah, there is. So final plug, friends. Each morning when I'm kind of getting my decks in a row for what my workday is like, I check into our platform to see event registrations. And it just looks like our North America event is starting that exponential growth for attendees right now. Hundreds of people have already registered, I think. You know, we've already passed, you 're closing in on and we'll be up, you know, closer to probably by things, by the time the event happens in, you know, six weeks from now or so. So like really we're at that super sweet spot for registration. Get yourselves registered for North America. It's going to be a great show. These are just a few of the speakers. Thank you, Karley. Just a few of the speakers we have coming. Last week, tune into that episode. I read a whole list of them at the end. So I don't want to do that again. Use code exchange to get a discount on your ticket. What else can we say about it? I mean, it's going to be a great event. Plus, we have our competition added, and we had, I think, more applications for the competition than we've had in the past. So it's really going to be an exciting year for the competition.

Lenny Murphy: Yeah, very cool company. It is. It's fantastic. In my humble and totally unbiased opinion, Because that's you, Mr. Humble. But we built it to be a fantastic event, and it continues to be a fantastic event. And you must attend it this year. I think it's critical, because there's going to be a whole bunch of conversations and companies that will be driving. We're just at that stage now, the next phase of the industry. And this is where that's going to start taking shape. So be there, be square.

Karen Lynch: Yeah, yeah. Yeah, or or be something else be whatever you'd like but I'm kind of hexagons how I think of myself anyway We're gonna get into it. So let's start Lenny with a few product launches. Our show is in two parts today. We're gonna talk about some pretty cool product launches. Mm-hmm, and then we're gonna talk about the other stuff which has to do with AI of course But every time I look at the, every time I sort of look at our plan for today, I'm like, oh, you know, that's where, you know, that's where you might want to be sitting down because there's a lot going on there. So, you know, just stuff to know about. But let's start with these launches because they're pretty impressive. You want to talk about this first one?

Lenny Murphy: Yeah, so Stagwell launched their Unlocked Surveys panel. And for those who are not familiar, Stagwell was a group started by Mark Penn, who you may know from his kind of public political life, also was head of research at Microsoft, also co-founder of PSB, Penn, Penn, Byrne, Schoen. So kind of legendary in the industry. And it's an integrated marketing technology platform. And here's what I put in that background because I think that's important because Mark recognized the value of data. And this is a theme that we're going to get to later on, recognizing the value of correct data. And so Stagwell, they've been buying up companies and, uh, and they put together what they, they basically think of it this way. There's the layer of, of market research as the old there's Harris, there's Maru, there's these, pieces, they're relaunching the Unlocked Surveys panel, which is a way to collect fundamental, real information that's loading up into what they call their marketing cloud, which is AI-driven. And wrapped around that are these integrated marketing services. Lots of companies are mimicking that model. It's probably really what the future is going to look like, But what's interesting about this is that they want to own the panel. They want to own the access to the consumers to collect the information to ensure that it is factual and truthful and high quality. And we've talked about these issues for all of our episodes, right? On high quality data and the role of high quality data in the world of AI and et cetera, et cetera. This is just an example of, and make no mistake, I think they're over a billion dollars, maybe billions in revenue. I mean, this is not a small company. This is a big company. And they are doubling down on panels, by God. And because the data can do so can be used for so many different reasons. So I think it's a really important example that way.

Karen Lynch: Well, and I think that, you know, and we'll have this link shared in just a minute to this launch, but I think what's important to take in and be mindful of is their focus on quality. I mean, one of the quotes here is, under the current model, researchers and brands can spend tens of millions of dollars per year collecting online research from an increasingly unreliable pool of external suppliers. So, harsh, but provocative, we'll give it that. But the reality is that we have been discussing this, and some of the work, like I said, that I've been brought into, we published the article about it, the models for fraudulent responses, the bot gate, all of these All of these fraud at scale possibilities are making it more and more important for these stringent measures. So for me, I think that is one of these things that if I were an end client, if I were a brand, Trust is not guaranteed anymore for me. I want to know, tell me what you're doing to ensure data quality on your panel, your participants, whoever you're feeding me. I need to trust it because it's a huge investment. So it's game on.

Lenny Murphy: We don't label these, title these episodes, but if there was one that was going to have a title, it would be Garbage In, Garbage Out, because that is the theme of this entire, everything we're going to talk about, and there's an example of that.

Karen Lynch: which is a good segue, our next one, which we're not saying garbage in garbage out, in this case, what we're saying is flowers in flowers out, we're planting a garden, right? Because yeah, well, yeah, we'll just announce their, their new tool, updating their, it's not their new tool, it's an update to their virtual audiences tool where you can upload their proprietary data for augmented data projects, right? So now we've got AI with a touch of augmented reality in there, I suppose. Lenny, I'm sure you know more about this tool, but this is more, let's not put garbage in, right? Let's put the good stuff in to get more out of it.

Lenny Murphy: That's exactly it, right? So Yabel, you know, they have the synthetic audience component or synthetic sample. They are a chat GPT partner, an early pioneer in developing generative AI tools for research. Definitely a leader in that respect. And they went to recognize the value of mining the data to create profiles of customers, et cetera, et cetera. And now they've lost the ability to be able to have your own proprietary data loaded in. And it goes back to the same idea of managing your data ecosystem and ensuring that you have what you need to leverage the tools of AI to get truthful, factual, impactful information that is actionable, rather than having it out there where we don't always know how contaminated the information may be.

Karen Lynch: Yeah, so and now the question I have about that, when I first read this brief, I was thinking to myself, so Yabel, who positioned in my mind as sort of AI assist for analysis and all that, now I'm like, hmm, and now is it also going to be one part knowledge management platform? Will it be able to do that sort of analysis across studies? Is it evolving into that? Maybe you can't even say because I know you consult with them. But that's what's next in my mind as I'm thinking, that's interesting.

Karen Lynch: It's interesting.

Lenny Murphy: It's where all these things are going. I don't have any. I do not know actually I can safely say I have no information on what you have I was thinking But the trajectory is you just it's easy to see where these things go. Yeah, and whether it's them or somebody else , Those worlds converge. So It's all about good data and then utilizing that data in a variety of ways to drive business impact. Everything else is just logistics along that process.

Karen Lynch: Yeah. Kudos to them. Good luck with their new tool. One other tool, I think it's really interesting. I don't know if you had a chance to check it out. It came off Research Live, but it's iVisual's AI branding intelligence tool. And launch of this tool by iVisual for branding and packaging intelligence, showcasing AI's expanding role in the creative industries. And for anybody who's done kind of, you know, packaging work or branding work, or, you know, looked at all of those, you know, all of that, everything that comes along with that, whether it's creative, whether it's logo design, whether it's font on pack, all of those assets. And now we're seeing some use cases that are, you know, quite specific for the creative side of marketing research, right?

Lenny Murphy: Yep. Yep. And we've seen, you know, other companies moving in this direction for a while. Um, the, uh, uh, you know, I mean, behaviorally rolled out, uh, you know, they're a pack test kind of legend standard, right. And then doing some of this stuff and we're just gonna see more and more of this. So, uh, this, so it's another example of a new product, um, leveraging AI in the way that AI should be. Leveraged, uh, in my humble opinion.

Karen Lynch: Yeah, no, exactly. Like this, that's such a great point actually, because there are going to be new products that come out that if you have the thought, Oh, I should check that out, then please do. Please go check that out. Like if that, if that's the thought that stimulated, like that sounds like a good use case for me because our job is going to be finding the right use cases. That's what will help us navigate all the other stuff that we're, you know, that we're, we're finding a little more turbulent and uncertain about, but something like this where it's like, Hey, that might be a, you know, a really efficient research tool that we can start to implement, um, or enhancement to your current research processes, you know, pretty cool.

Lenny Murphy: Yeah, absolutely. Fit for purpose, right? I mean, and that's, there were people who didn't know if telephone research was fit for purpose and certainly, yeah, you and I have both been around long enough to remember the debates around online and panels and mobile and social media and all these things that now are just, you know, we have to get through the process of finding what makes sense and what doesn't and what's good and what's not and yada, yada, yada. And we're just in an era where we're going to see a lot more of that.

Lenny Murphy: Yeah, you know a lot a lot more as more and more investments are happening so we went to the Microsoft buying. I mean is it any surprise that Microsoft is you know, I they're going for the one ring to rule them all. So that's the analogy of the du jour right now. But Mistral, I think what's interesting is the French AI company.

Karen Lynch: Yeah.

Lenny Murphy: And we haven't there hasn't been a lot of innovation. You don't think about these European companies with AI. It's generally, not saying they're not there, but we've seen them all coming out of the U.S. And out of, right. This is a fairly large French company. It was a big, multi-billion dollar deal, I believe. And you know, you can see where Microsoft is now looking at all these, at these different models and deploying them, investing in them, acquiring them and deploying them across the organization. It's not just GPT chat. So, and I think that's, So that's interesting is, you know, companies like Microsoft that provide global scale, and global customers, right, but looking at specific capabilities to augment and do that. So I'm quite certain that there's not a hell of a lot of duplication over Mistral and chat GPT. It does, I don't know the details of what it does, but it does something different or better. Then OpenAI does, and I think we'll continue to see those types of things happening, and yes, follow the money.

Karen Lynch: Yeah. And what I think is also really interesting about it, I'm actually one of the things I'm excited about for this trip that I'm taking is to get the global perspective. You know, we've shared a few things about initiatives that are happening over in, you know, the European Union about how they're, you know, kind of how they're wrangling it and legislation around it and all that. But I'm actually really curious that between this trip to Bangkok and then North America and then our Europe event, like saying, like, OK, what's the world's pulse on AI right now? I'm actually really excited to bring that conversation back. How are people feeling about this around the world? Where are we ahead? Where are we behind? Where are they nervous? Where are we nervous?

Lenny Murphy: And it changes moment by moment as our next story.

Karen Lynch: Um, yes.All right. Why don't you start off talking about this Google thing? I know that, you know, it jumped out at you when it first happened. Um, and you know, and then we'll talk about what happened and then talk about the fallout as a result of it. Yeah.

Lenny Murphy: So we got, yeah, I'm sure.

Karen Lynch: Yeah.

Lenny Murphy: Google launched Gemini publicly and for beta. And Gemini is both an image generator and is a replacement for search. And this all started first when people realized that the image generation wasn't working maybe as intended. It got politicized. This is not a political issue. It's one of just Google made a decision on prioritization within their algorithm that was not always reflective of reality. And let's just leave it at that, right? If you want to find out more, there's tons of stuff out there about it. But that wasn't, that was the tip of the iceberg, unfortunately. So as people dug in more and more, because they smell blood in the water, and let's just be real, that's, that's, you know, the deal was, they found that actually, its results across the board were very, very biased, and in many cases, simply manufactured. Not true. And that's the issue. And the backlash of that, the next article, was they took a big old hit on the stock market. Because that's the issue. These were examples of a fundamental problem, in my mind, which is we expect technology to not to have a thumb on the scale, we expect technology to deliver us factual information that then we make decisions off of. This was an example, and I think it was a scary example for a lot of people. But wait, no, you're interpreting, and in many cases, the technology was supposed to be a tool to convey information for us to make decisions on was instead The knowledge was the underlying information unreliable, therefore all the recommendations, et cetera, et cetera, were unreliable.

Karen Lynch: I feel like this has come up before where I've said, maybe not. Anyway, where I've said often when we make decisions, And I kind of talk to my kids about this, too. Like, we're making the best decision we can make with the information that we have right now. Hindsight's a ridiculous thing, right? Six months from now, could you look back and say, I might have made a different choice? Sure, if you found new information after you made that decision, right? So everybody's goal in our family is to make the best decision you can make on the day you must make that decision with the information you currently have. That analogy, I share that just because that's what's happening in these portals, these large language models who have information in, but it's not everything. It's not the full context. It is information that's been biased on the history of what it's been told only. And so on some level, not to humanize it, but it's making the recommendations or projecting something based on what it has only. So it is limited in scope and breadth and depth. And it's not a surprise to me that, you know, it's what's biased.

Lenny Murphy: Well, there's that, that is, that is absolutely what I'm so true of the access to the information. And then secondarily, in this case, there was a decision made to prioritize certain things in how they analyze the information, um, which you know, good, bad, or indifferent, it doesn't matter. I think the backlash simply was, yes, not only maybe you did not have, the algorithm didn't necessarily have all the relevant information, but whether it did or did not, it conveyed it in a way that made it clear that it wasn't even close to reality. And that was just concerning. And here's the thing. We were talking, joking for the, this is the part we don't want to talk about. I'm just going to be such a bummer. It's, it's not, it's not because you know what? Uh, boy, I almost, I almost dropped our first real F bomb. Uh, people screw up and you can see what I'd say. The, uh, um, okay. And, and the market spoke.

Karen Lynch: Yeah.

Lenny Murphy:  Fix it. move on. So I'm glad that it's happened. I'm glad that in all the hype, We had a big ass example, big, glaring, very public example of, oh, the bloom is off the rose. This isn't okay. Now let's fix it and move on. Because it doesn't mean that all the solutions are bad. It doesn't mean that in any way, shape, or form. It just meant that this went maybe a little bit too far in one direction, that we as from even a business standpoint as well as just general consumers said, yeah, no, we're not, this is not okay. We're not ready for this. Because it is scary. My first thought was as a parent of, man, if I told my kids to go Google it and they did this, no, because they wouldn't be able to tell that it was wrong.

Karen Lynch: I know well and that's that is that is the that is the problem the problem right now with all of this is not so much in the businesses that have developed solid tools integrating AI technology but the open source everybody can access use cases for societal for lack of a better word, not B2B purposes, right? There's a big difference to me between B2B applications and this other space, right? And I think that that's where, yeah, that's where we get a little unnerved. I mean, some of these other things we could talk about or we could just skim over, but, you know.

Lenny Murphy:The TechCrunch example, I think we should talk about that real quick. 

Karen Lynch: Yeah, yeah, yeah. All right, go ahead. I don't remember which one's TechCrunch, which one?

Lenny Murphy: So here's an example, because Google, we're not picking on you. Love you.

Lenny Murphy: Here's my Samsung phone, and we use Google. So anyway, TechCrunch, where they tested all of the LLMs. Well, not all, but a bunch of them. So Chachapiti, Gemini, blah, blah, blah. Simply for accuracy of information about voting. Where to go, when to go, what you need, that type of stuff. And they were all bad.

Karen Lynch: That's a big problem. That's a huge problem. Societal problem, right? Not even talking about politics and the elections in general, but talking about just AI applications being misinformed during this year. It's like if it's one thing we need to rely on, it's that if we look something up, we get accurate information.

Lenny Murphy: Right, right. And that's about so it's and you could replace that with anything else. Where's the closest doctor?

Karen Lynch: Yeah.

Lenny Murphy: Or where do I go? Whatever. And I remember early on when all this, I mean, a year ago, brought it up. Look, we need to recognize that if, if the data is not good.

Karen Lynch: Yeah.

Lenny Murphy: Yeah. People could die. Right. Literally like a deployed in healthcare. Right. With a recommendation. So, so again, I'm glad people are digging into this. They're, they're understanding that there are limitations. Does not mean this, the train is still coming. Hopefully it slows it down just, just enough where we can focus on fit for purpose and optimization across the board. And recognize our responsibility, which back to research, in my mind, I think is fundamental. We provide data that presents truth, that presents a view of the world, and that is our role.

Lenny Murphy: So when I get all weird about this topic, that's it, because I'm thinking, this is important, it's my job, it's your job, it's what we do, you know? And these big companies that are taking this macro view on curating and consolidating and analyzing and organizing the world's information, you damn well better make sure that it's right. And we're discovering that it's not always right. And good, now let's get it right.

Karen Lynch: Yeah, and I think that as a media company, content marketing company, etc, we have use cases we have to really watch for the information that any AI assists to provide to us to make sure it is not just accurate, but relevant, right? That it is absolutely giving us what we need and what's going to be helpful and beneficial when we use it for some internal use cases. And also, I think it just stands to reason that there's still incoming news folks on lawsuits over copyright issues, over who owns the content that you might be using, who owns a sentence, or who owns an image.

Karen Lynch: So for everybody who is doing experimentation, be mindful of that for your business. That there are copyright issues that you have to just be aware of You cannot just assume, oh, I got this from this particular AI tool, and therefore, it is highly usable for you. That's not necessarily the case.

Multiple Speakers: Be careful, right? Be careful.

Lenny Murphy: Absolutely. And to your earlier point, traveling around the world and seeing these things, I think there's different approaches to this all over. And we're just in that Wild West period. And that. Every week, we joke about it, it's the week in AI. I mean, this technology is utterly disruptive and transformative, and my stance has not changed. If you're not experimenting with this stuff, you better be right now, right? Because it's here, it's coming. All these things we're talking about are kinks.

Lenny Murphy: They're bumps in the road, but we're still going down the road.

Karen Lynch: Yeah. Yeah. So those of you who are, who are, you know, you've got your product in development and, you know, and you're launching, make sure you let us know about them because we will cover them because we think people need to know. I mean, not everybody's curating the way Lenny and I curate, right? Not everyone is tracking product launches the way he and I are, but let us know. We will tell people what you're working on and, um, you know, and, and what they should check out. Because again, like the B2B use cases, those are the ones that you need to see what's right for you.

Lenny Murphy: Yeah, last one, I think we should just mention this real quick. Because of the visual, right, we're kind of talking now about data in more contextual text, you know, information. But then we got Sora, right, and the image generation stuff. And I thought it was really telling of Tyler Perry. Was gonna build this massive, what, million studio expansion. If you've never been to Atlanta, I mean, Tyler Perry has one of the largest studios in the world in Atlanta. That's where he makes all of his movies.

Lenny Murphy: And he said, after seeing Sora, he said, yeah, I'm not gonna do this now. I'm not adding on to the studio, why should I? Yes, on hold, on hold. And back to that example, this is all happening. It's not gonna stop it. It's disruptive, it's changing. There's an example of changes in how we create content, visual content, movies, directors see that. It's great. The CGI, we probably went through the same thing with the advent of CGI versus old school special effects, right? And let's just be cautious.

Lenny Murphy: And think through how all this is gonna play out. Anyway, not a bummer. I think it's exciting. It's good. It's good when we learn, right? You're kidding. Ouch, the stove is hot. Yeah, I'm not gonna touch the stove anymore.

Karen Lynch: I know, it's really funny. It's like, you know, yes, there's that, yeah, hurry up and learn how to cook right now, but the stove is hot. So, you know, there's risks with cooking as there is with AI.

Lenny Murphy: Yeah. Yeah. I mean, as you know, as parents, I mean, you know, there's a little bit like, Oh, I want to comfort you that you did this, but I bet you're not going to do that again. Right.

Multiple Speakers: I mean, so here we are.

Karen Lynch: Let's hope, let's hope not everybody learns things the hard way, but they, uh, they, uh, they just, you know, they go into it with their eyes wide open. So anyway, gosh, minutes in, we really need to wrap. So we covered our announcements earlier.

Lenny Murphy: But see, all right. Here's the peril being pre-recorded, right? Anyway, so folks we'll be back next week live where Karen will be Laying on a beach Southeast Asia but we will have Natalie as the co-host and Natalie would keep me on my toes and and Until then.

Karen Lynch: Log in and give her a hello. I'm sure that'll be exciting for her. I can't wait to check it out. And then I'll see you all again in two weeks. So that's fun too.

Multiple Speakers: Absolutely.

Karen Lynch: I'll make sure I tell everybody. Well, I'll, I'm going to give Natalie some insight into what happened in Asia at our events. So she can share a little bit next week. What's, you know, a word on the street over there.

Lenny Murphy: Yep. That'd be, that'd be cool. So, uh, thanks for tuning into this one and, uh, that's it. We'll talk to you next week. All right. Have a great weekend.

Links from the episode:

Stagwell Launches 'Unlock Surveys' Panel 

Yabble Announces Update to its Virtual Audiences Tool 

IVisual's AI Branding Intelligence Tool 

Microsoft's Investment in Mistral 

Google Admits Losing Control of Image-Generating AI 

Google Parent Company's Value Plummets After Gemini AI Scandal 

AIs' Inadequate Responses to Voting and Elections Queries 

OpenAI and The New York Times Copyright Lawsuit 

Tyler Perry Cancels $800 Million Studio Expansion Due to OpenAI Sora 

The Emergence of BadGPTs