Transcript
A (0:00)
Hey everyone. I'm super excited to talk to you today here about the future of branding. I hope I can show you that the future of branding is bright and generative. I'm Steph Hammerlink. During the daytime, I help build the brand at Allen globally. Alan is a healthtech player, which you might recognize from the mascot, but more about that later. During the night, I help other brands with brand strategy branding as a consultant, and at least according to some, I'm also getting to be known as the mascot guy. I've helped quite a few brands with either building or scaling their mascots, such as Dreamland, of course, Alan. There's Marcel, there's a few others, and I also teach at the school of branding. And then finally I have my what used to be a podcast called let's Talk Branding, which you might know, but actually I transformed that into a newsletter where I share exciting news about the world of brand building, mascots and generative AI together with my mascot, Marcel. So, yeah, that's Marcel. He has a bit of a main character vibe, so I hope he doesn't disrupt us too much during this talk. But what I really want to talk about today is two potential futures for branding, marketing and AI as a whole. One future is quite depressing, the dystopian even, the other a little bit better. So I suggest we start with the darkest future, AKA were cooked. So imagine a world where brands are producing the same generic content. Everything just feels similar. But yeah, I know what you're thinking. This is already happening. It's called the Sea of sameness and it exists today, right? Well, it's true. I mean, according to a study by Ipsos, only 15% of brands are truly distinctive, aka consumers recognize the brands for who they are. That means that the other 85% of markets, budgets, marketing budgets, are basically being thrown down the drain. Can it really get worse? Yes, actually it can. Because now that sea of sameness is actually a swamp. We have a few key ingredients that make up this toxic cocktail. First off, we see that already today more than half of web traffic is automated, AKA bots. So the whole dead Internet theory is coming. And we see that 40% of video content on social media is estimated to be AI generated. And this is a problem because what we see is when AI trains on other AI is what we call model collapse, where basically the quality deteriorates, deteriorates and do something a lot worse. And then we have the CFO who heard that finally cheap, good and fast is all possible at the same time. So just let's fire everybody and automate all the content generation, right? All these toxic ingredients lead to a cocktail and a sort of tipping point called the sloppening. A drudgy world of murky, weird, click baity, generic content where everything is just one weird, bland remix and it's sucking brands and consumers in. Now, let's talk about slop. It's a real thing, right? It's flooding the Internet. A lot of people talk about it. Everybody's calling everything slop. So there's a couple of things, at least for me, that define real slop. So first, it's pure engagement clickbait. It's unhinged, it's weird, it's absurd. It's designed with the only sole purpose of grabbing the attention. Secondly, usually there's very little human action. Input. Input, right, that it's. It's just almost like one shot. It. Text to prompt. And especially now with Sora, which is most of the videos you can see here, it's just people typing out something very basic and then the model does all of the filling in, which is also why it feels so generic, of course, because it's not unique. It doesn't have personality, it doesn't have a strong story. It's just fun to watch. And then as a last point, it's mostly twists on what familiar things that already exist. Existing content, ip, it's memes again. It's this remix culture. And that works because when people see something familiar, they usually tend to keep watching it versus something that is already old. You could make the argument that a lot of Hollywood is actually now being all the sequels are some sort of like, slop version. But obviously there's a lot more creativity in there and it's not pure engagement clickbait. So it's a bit on the edge of what's possibly being defined as slob. And bonus points for destroying the environment and of course, unethically training your models on materials that the artist did not agree with or don't have any incentive from. And we're eating it up. So all these AI videos are trending like crazy on TikTok, on YouTube. Sora actually became the number one app in the App Store in only a matter of a few hours. Sorry, sorry, sorry. Marcel. Marcel, stop. It's okay, it's okay. Sorry, sorry. I'm trying to. Oh, my God. Okay. Sorry for that. As I warned you, Marcel can get a little bit weird and he loves some good old slop. Okay, so now that we've explored that slightly unhinged future, let's look at a little bit more exciting future, AKA we're cooking in this future. Brands become living, breeding, talking entities, engaging and delighting their audience, driven by human creativity and powered by generative AI. First, let's look at some brands that are building this future today. Obviously we have Allen, which is an interesting brand and I work for them, of course, but I think Allen has really embraced AI in the way that it should. And I just want to show you this cool ad. So that's a recent ad we did for Alan where we used AI to produce it. You can also see some of the other visuals there with our mascot. Our mascot was actually made with 3D, but then we trained the model on it so we can use it however we want. So let's do a quick slop fit check based on this last ad compared to what we saw in the previous future. So is it pure engagement? Clickbait? Well, actually no, it's entertainment driven. Yes, it has a strong hook, but the idea is to have a clear objective in mind. The goal here is really to build awareness around Alan's offering. So not really. Does it have very little human input? Actually, no. I worked on most of the script, the storyboarding, the visuals, creating the actual animations. Then I handed it off to a motion designer who worked on fine tuning the motion. There were other designers involved in giving feedback, designing some of the screens. And so all in all, it was like roughly three humans working on it for a couple of days. And so no, we actually put in a lot of effort thinking about the story, crafting it, designing it and so on. And then is it a twist on the familiar, existing content or IP or memes? Not really. I mean, obviously doing a twist on the familiar on its own is not a bad thing per se. It's only when it's like doing that without existing in a specific brand world with a specific entertainment driven objective that you, you don't really have content that drives success or impact for your brand. You're just creating, you know, attention grabbing stuff. And in this case, this ad was made in Alan's specific brand universe. The look and feel, the colors, obviously the mascot, but also the characters, there's the tone of voice, there's the music, everything fits into that brand world. Which I think is also something that shows the difference between slop and like really just good creative with AI. And then finally we have the bonus points. Is it destroying the environment and is it unethical? Well, there's still a lot of work here, so I'm not gonna claim that we solved that. If you compare, like doing an actual video shoot or doing a 3D studio rendering where you take a couple of weeks and a couple of people to do it, most likely it's probably even a lower carbon footprint than what we did. I mean, purely in terms of GPU rendering. Also, what I see is now that we're beyond the hype cycle, there's a lot more mature asset management and recycling approach. So we're not just generating hundreds of images on the fly for every little spark we have. We're looking into using assets that exist, reusing them, recycling them. Also, when it comes to localizing or creating other scenarios, there's a lot that can happen here, making it more efficient and also less resource intense. And then on the unethical part, there are a few newer models like Firefly, Moon Valley, and I think also Google is investing a lot more in cleaning up their databases or finding ways to make it less ethically worrisome. So these things are shifting and I think it's on us in the industry as well to demand that and to push further on it. But there's still a lot of work to be done, let's be honest. But that's not the real problem, I think. But there's another problem. When you create like AI content, there is a lot of pushback, especially online. These are just a few comments I have received on like articles, videos, whatever I created. And you can see people have like a real reaction to it. It's like intense hate. They call it unethical. And of course, if you're working for a brand or if you're a founder, then there is a real fear of pushback, even worse. So the question is, of course, what can we do? Well, first, what you need to know is that in research we see that when people are shown content, videos, imagery, without knowing that it's AI, they often even prefer it. So it's not that people hate, innately hate AI stuff, it's more that when they know it is. And at this point in time, because of some of the other reasons I talked about earlier, they often are very vocal in expressing their hate. But again, looking at some of the research and for example, this recent ad from Coca Cola just released this week, we see the interesting two worlds collide. On the one hand, we see basically people going mad about this ad, like Coca Cola lost its spirit. It's disgusting, it's terrible. And on the other hand, we see in system one testing that it's an exceptional score, so 5.9. So basically this means that normal people watching this ad just love it. Obviously this is because Coca Cola has spent decades on this team on this ad. And so it feels familiar. You're happy that the holidays are back. But it really shows that when people see AI content and it's made like with high quality and it's good enough that most people are just like looking at the ad saying, ah, that's kind of cool and that's it. So I think we will get past this point. There's also the issue, of course, of what we call the uncanny valley, where if we want to show like, if we really want to replace hyper realistic or like real videography, then there is a chance that we'll probably never pass the uncanny valley, which is where things like feel 99% there but still off. Like, I don't know if you remember Polar Express or any of these really heavy CGI versions where we spend a lot of time trying to make it look real. It's hard. So it's clear that there are some issues. If you are a brand today and you want to invest in AI, so what can you do? There's three options that I want to discuss. So the first one is just being upfront about AI.
![[Exclusive screening] Buckle Up Briefing #9: The future of branding keynote. - Let's talk branding cover](/_next/image?url=https%3A%2F%2Fsubstackcdn.com%2Ffeed%2Fpodcast%2F1011558%2Fpost%2F178062442%2F864148ba4a9e124326c20d905da3c9f2.jpg&w=1920&q=75)