GREG: Hey, you also had another experience here that caught my attention, and I don't think we're going to mention the name of the company, but you were in a group of 60 CMOs earlier this week talking about AI. What was your conclusion from that, Noha? What are you thinking? What changed as a result of hearing your peers talk about their challenges with AI? Which, by the way, with a company who has a lot of its own AI experience and expertise.
NOHA: It was great to be in a room full of colleagues who are going through this experience together. And I think we shared two emotions together. One is around the uncertainty and the fear of the unknown, and the other is around just pure excitement. We have a lot of technology and tools that have been part of our toolbox for years as marketers, but AI is a whole nother level. And we were talking about how, and I can say this because I'm a little biased, but marketing may be the function that is most disrupted by AI in a good way.
GREG: Feels like it. And why do you say in a good way? I'm not sure every marketer probably feels that way. Why do you think in a good way?
NOHA: I think there's just so much opportunity. We talk about, as marketers, the fact that it's kind of left brain, right brain, there's a whole bunch of things you can measure, but there's a whole bunch of things you can't. You do well when you are able to think analytically and build business cases and be very logical, but you actually also need to be creative in the field of marketing, and I think AI helps us do all that at much faster and better scale. I think this personalization that we've been talking about wanting to get to, that's made possible by AI, whether it's the creative, the media, the targeting, the measurement, all of that is just going to get exponentially better with AI and it's going to cause us to rethink all those workflows and all the ways we've historically gone to market and think about what's a new way that I can get to market that's faster, more personalized, more accurate, more measurable, all of the things.
GREG: Yeah, I've said this a lot publicly, I keep waiting for, I float — you don't know I'm doing this with you at the board — but sometimes I float stuff with the board just to see how you react. Do you really resist the idea? Does anybody fight it? I've said a couple of things in board meetings where I've had board members go, well, that's bullshit, a little bit, but I'm looking to see where people ... Okay, so I have said a lot both onstage and in meetings: It is inevitable that all ads will be created by machines and all ads will be delivered by machines. And I've not had anybody really take me to task on that, and I've kind of been wanting to say, well, no, there's a reason why not. I'm looking for the contrarian point of view. The issue is, of course, I'm just raising if that is fact, if that is what's going to happen, then what are we doing to get prepared for that? That's my responsibility to help you get there. But I do think it's funny, Noha, that nobody has taken me to task and argued another point of view on that, and it's not like there's wallflowers on the board. So I don't know.
NOHA: So I want to give you an example from my team.
GREG: Go.
NOHA: About a month ago, a group of colleagues on my team came to me and said, We want to present three different campaign ideas. I said, great. They presented all three campaign ideas and I said, I like this one. And they said, huh, that one was created by AI.
GREG: Oh my god.
NOHA: The other two were created by our agencies.
GREG: Ouch.
NOHA: As I asked more questions about that campaign that was created by AI, the individual who had created it showed me the first outcome when she went to AI for it. It was not good. She then showed me how she refined and trained the LLM to come back with something that she thought Noha would like. She also has built an agent that is predictive of what Noha will approve, what Noha will say.
GREG: So she had ... Wait, so it wasn't just meant to be an objective third ad, it was meant to be the ad that the machine knew you would like.
NOHA: Separately. So separately, she had built an agent that has learned from my podcast, my blog posts, my LinkedIn posts, emails between us, feedback I've given her, and so she had taken all ...
GREG: It's an extraordinary amount of effort, by the way. First off, what's their name? I like that kind of dig in. But go ahead. [laugh]
NOHA: Yeah, so I think the point of my story is, I don't know that we'll never get to a point where all ads are created by the machine and the media is bought by a machine. But I will say that the inputs matter, the judgment in the EQ of marketers as they're guiding these machines matters. And ultimately that's what I'm going to be looking for, if I still have a job, [laugh] when I hire people —
GREG: Understood.
NOHA: — as marketers is, it's very helpful to understand the core tenets of marketing. It's very helpful to understand customer insights. It's very helpful to understand what good creative looks like. Those are all really critical things for the modern marketer to be able to manage the machines that are going to be doing more and more of this work.
GREG: I do agree with that. It's funny that you say that because I notice my own behavior, and by the way, it interests me, you do. I don't know if this got into the meaning of all the other CMOs, but I continue to be surprised at how much my own behavior is now changing and interacting with chatbots, AI chatbots. It feels like it's compounding every week and how much more I depend on it. At the same time, I do really agree with you. I'll tell you what, here's ... I know it's a funny thing. Sometimes I'll go and I'll do something and it will give me a really fast answer, which is really exciting, but I almost feel like sometimes it's almost too much input for me then to make a decision on the thing. I'm not sure if I'm expressing this [well] . I don't really have the time to look at all the things it can tell me to go through. It's like it's almost making my job, at some regards, harder at some level rather than just using the judgment to get stuff done and move forward. I don't know, it's a funny dynamic. I don't know if anybody else has experienced that, but I don't know.
NOHA: Yeah, I think I have experienced something like that. Ultimately, it's the same thing that you have to do today with all the windows, or when you're doing a Google search and you click on all these links, you're having to look through all the stuff and then make your decision. Presumably it's summarizing some of that for you so that you don't have to go through all the links and have all the tabs open.
GREG: Supposedly. But still, there's so much information I still have to digest in order to interpret that, and then I have to go, well, no, that's just not right. I didn't ask ... I'll tell you what's interesting, it's teaching me that I don't always ask questions very well. I don't give direction well, which is what you find out if you manage a team, very quickly, you're not very good at it sometimes. But yeah, I often have to go back and say, I just didn't ask that in the right way because I know that's not the right answer.
NOHA: I think this reminds me a lot of when we were getting used to the idea of searching with keywords, it took a while, but then everybody started to think that way. Now, we have to start thinking in prompts and we have to learn how to write good prompts. And that in and of itself is the skill set that I was referring to earlier with this young woman on my team who's done a really nice job of being thoughtful in how she's engaging with her agent and the LLM to get to ideas that can be presented to the CMO.
GREG: Right. And I need to learn how to talk to machines. I mean, it's really that simple and it's a whole new thing. Okay, so listen, this is all really interesting. It's fascinating, and it certainly amplifies for me just what we're up against to go forward as an industry. And your joke there, will we still have jobs? I don't know, is my job ... I mean, I see a lot of stuff that could be done better and maybe the market job could be done better. We'll see. But here's a question I have for you.