GS: Okay. Hey, let's wrap up. Let's talk about AI for a little bit. You mentioned it a few times here. I know that it's a big deal for you. It's a big deal for the auto industry already. I mean, this is nothing new for design and everybody else. Have you given an overarching... I mean, how are you looking at ingesting AI — either generative AI or machine learning, any one of those — into marketing? What's the mandate maybe you've given the team? What's the direction? Is there a goal that you've set? What are you thinking of? Eventually, I want to get to where's there real opportunity, you think?
AW: Yeah, and I have given that challenge to the team. What I've told them is that we need to be open to this, and I want to see the teams experimenting with it. And so the challenge has been more like let's start experimenting with it. And the way that I view it is as an accelerator.
Really an accelerator. Like we discussed a little bit earlier, it's the accelerator for that starting point. It can become this accelerator enabler. And so that's what I've been encouraging the teams to be doing is just start experimenting with it. Obviously, we use it in a lot of, like we said, audience segmentation. Buying is so foundational when it comes to media at this point. And so some of that is already foundational, but it's more about how can we bring it into strategy. If we're stuck on a problem or we're stuck with how to solve something, then how do we leverage AI? And things under my responsibility is kind of all the brand merchandising. We have a concept of an idea, and I think the teams were not quite sure how to start it. And so I was like, well just use generative AI just as the starting point. Where is there quality manufacturers of this type of merchandise? Apparel, as an example. And it's like, just use it just to see. And so that's how I'm trying to encourage the team. An internal objective of ours is to do these kind of proof of concepts. And so to me, it's more about how do we just start to expose ourselves to what the technology can deliver and experiment with it?
GS: Do you have examples of either experiments you're running? I think ultimately what listeners would find helpful is where do we think the heat map for opportunities are? Like I mentioned, we're doing this AI personalization, a kind of a DCO on steroid, and it's crazy. I've been doing a lot of measurement of media marketing for a lot of years. I've never seen anything like this. So for me, that concept of personalization, using, in this case, machine learning is really powerful. Where do you see some of the opportunities?
AW: I mean, I think that's the perfect example. And like I said, social media wear-out happens so much faster. So how can you refresh assets leveraging AI, particularly backgrounds and things like that. I think the other thing where we really see it is that — and this is such a tactical example — but storyboards. And remember, it used to take two weeks to get the storyboards, and that's AI. We use AI for that. It's been inspiration for us. But the design team, we went to our design center — which is kind of an hour away from our headquarters here in Japan — and they did an entire presentation through AI, which I thought if we can help alleviate a lot of resource spending writing PowerPoints, I'm all in.
GS: All in, exactly.
AW: I'm all in on that. And so to me, it's really about those starting points of things and where are the pain points of where do we see that things take a lot of time? How do we inject generative AI into that? Because I think machine learning when it comes to media and AI, when it comes to that, that's pretty foundational. That's not new after a few years of this.
GS: And not so uncommon. Correct.
AW: Yeah, exactly. But it's just more about what are those other opportunities? And like I said, naming is also kind of part of my purview, and sometimes you can get really stuck on names, and so the teams are now starting to do here's some AI-generated ones, these are our generated ones. And so I think it's just helping to speed up a lot of these processes that have been pretty manual for a long time. It's helped us to speed that up.
GS: The annoying parts of our job can be taken away. Right?
AW: Yeah.
GS: By the way, does it happen there? We were getting the question here from teams, "Oh, is it going to replace my job?" Did that come up there at all? Did Japanese ever ask that kind of thing?
AW: I mean, we've discussed it a lot. I think it's will it replace your job? Will AI replace your job? No. Will a person who can query AI replace your job? Potentially, yes.
GS: Yes, exactly.
AW: That's why I think these prompt engineers, that's a skill that I think everyone, especially marketers, need to learn. Fortunately, I had kind of an expert in this help guide me as I started to experiment with it personally. He was like, take a look at it. And he's like, start a chat and keep it in the same one and ask it to be an advisor to you as a global chief marketing officer. I never say the brand, I never say anything specific. He's like, just ask it to do that and give feedback. Start to work on your prompts. Give feedback if you're not getting it. I was prompting, "How do I influence our CFO for XYZ?" and all these things. It was fascinating to me to see that because the immediate reaction, but also it suddenly meant that research and things like that could be so much faster than having to go through searches and where are these analog, backdated, whatever it is. Suddenly that can be so instantaneous. And that was such a tedious part of a strategy, especially.
GS: Right, and I agree with you on prompt engineering. I think it's a pretty big deal. I've taken a few classes in that. The idea is that you really do have to push the machine to give you what you want. It's kind of where we started sort of earlier, funny enough. If you don't learn how to give good, clear direction, if you don't learn how to sort of massage and manage things... There was a study I saw not too long ago where they actually went into one of the GPTs and they were basically saying, what happens when you're polite to the machine? Do you get a different response with the research that you were doing? And they did. The LLMs are just amalgamations of what people believe. That's why bias comes through sometimes still. But it was responsive to those kinds of things. I don't remember the examples, but it could have been something like if you said pretty please, it would give you a different answer. Or they say, "Could you really, really try at this for me?" You were giving a more human kind of reaction and the machine responded to those. They had different reactions. Crazy.
AW: And that's what I just find absolutely fascinating. And I remember, somebody sent me an article. Nike — incredible brand — they were trying to see if AI could generate a more impactful headline than... I forget. It had to do with the NCAA, the finals, and Caitlin Clark. And it shows what the prompts were, and it's just really fascinating to how the LLM responds to you and how you input information. I feel like — and I think this is an important trait for anyone in marketing — but I'm an endlessly curious person. I can get to the end of the internet on any kind of topic if I really have the time to do it.
GS: You would do it. If anybody would do it, you say you would do it.
AW: I would absolutely do it, but this is where I just think it's like I'm so curious. I'm excited, I'm curious. I'm a little scared, but that's why I encourage my team to really lean in and see where it can complement us, complement what we're already doing. How can it complement and accelerate what we're doing?
GS: I am totally on board with you. I think it's going to be the most exciting thing ever. I can't imagine what it means. I hope still I keep up at my age. I am curious. I think I will, but is this the one time the world moves beyond where I am? I don't know. And it is moving so fast. It's just sort of crazy.
AW: Yeah, it is crazy. Yeah, it is.
GS: Allyson, I can't thank you enough for doing this. It's been so much fun. I listened to one of your other podcasts. I went into this one, I go, "Oh my god, she's going to be so easy." You're just so easy to communicate and talk, and you do have that natural curiosity. I didn't know exactly what it was. I didn't form my thoughts on it, but that's right. You just have a curiosity to try to figure out the world. What a great trait for a marketer, obviously why you're CMO of Nissan, so congratulations. Thank you. You're the best.
AW: I appreciate that. Thank you.
GS: Thanks again to Allyson Witherspoon from Nissan for coming on Building Better CMOs. Check the description of this episode for links to connect with Allyson. If you want to know more about MMA's work to make marketing matter more, visit mmaglobal.com. Or you can attend any of our 44 conferences in the 16 countries where MMA operates, or really just write me: greg@mmaglobal.com. Thank you so much for listening. Tap the link in the description to leave us a review, and if you're new to the show, please follow or subscribe on Apple, Spotify, Amazon Music, iHeart, or wherever you get your podcasts. You can find links to all those places and more at buildingbettercmos.com. Our producer and podcast consultant is Eric Johnson from LightningPod.fm. Artwork is by Jason Chase, and a special thanks to Angela Gray and Dan Whiting for making this happen. This is Greg Stuart. See you in two weeks.