Latest / The CMO Podcast with Fexingo: Marketing Leadership, Budgets, and Executive Strategy / How CMOs Are Hiring Chief AI Officers
Transcript
- Lucas: So there's a new title showing up on marketing org charts, and it's not a chief metaverse officer or anything buzzy like that. It's the Chief AI Officer. Luna: I've seen that a few times now. Is that a real role or is it just chief data officer rebranded with the word AI? Lucas: It's a fair question. And a year ago, I would have said it's probably just a rebrand. But the conversations I've been having with CMOs suggest something different is happening. Luna: Well, and look — if these conversations have sparked something you've actually used in your own work, it's worth mentioning that this show stays on the air because a small group of listeners chips in monthly. It's not ad-supported. That's a choice we made early on. Lucas: Yeah, and if you want to be part of that group, it's buy me a coffee dot com slash fexingo. No pressure, no perks, just knowing you're helping keep this independent. Anyway — back to this chief AI officer trend. Luna: So what's actually different about the role? Lucas: Let me give you a concrete example. CVS Health hired a Chief AI Officer about eighteen months ago. That person doesn't report to the CMO, they report to the CEO. But the CMO told me that the single biggest impact of that hire has been on marketing — specifically on how they model customer lifetime value across pharmacy, retail, and insurance. Luna: So the CAIO is basically building the infrastructure that marketing then uses? Lucas: Exactly. And that's the distinction. A Chief Data Officer typically manages data governance, compliance, pipelines. A Chief Digital Officer focuses on channel strategy and ecommerce. But the Chief AI Officer is responsible for the models, the algorithms, and the deployment of machine learning into business processes — especially marketing processes. Luna: Gartner actually has a number on this. Their 2025 survey found that 38 percent of large enterprises now have a dedicated AI leadership role. That's up from 22 percent two years earlier. Lucas: Right, and that's across all functions. But when you look at just marketing organizations, the number is even higher — 47 percent of CMOs say they either have a Chief AI Officer on their team or someone with that title in the broader enterprise who works closely with marketing. Luna: What's driving that? Is it just generative AI hype, or is there a real gap that needs filling? Lucas: I think it's the latter. The gap is that most CMOs don't have deep technical AI expertise themselves, and they don't have time to become experts. But they're being asked to make decisions about personalization engines, predictive modeling, creative optimization — all of which require understanding what AI can and can't do. Luna: So the CAIO serves as a translator between the data science team and the marketing strategy team? Lucas: That's a big part of it. But it's also about building a roadmap. Let me give you the example of CarMax. They hired a Chief AI Officer about two years ago, and that person — her name is Dr. Ritu Agarwal — she rebuilt their entire personalization engine from scratch. Not because the old one was broken, but because it was using rules-based logic, not machine learning. She moved them to a real-time recommendation system that adapts based on browsing behavior, inventory changes, and even local market conditions. Luna: What was the result? Lucas: They saw a 15 percent lift in online-to-in-store conversion within six months. And the CMO told me that would never have happened without someone who could bridge the gap between the data scientists writing the code and the marketing team designing the customer journey. Luna: So the CAIO isn't just a tech role — it's a strategic role. Lucas: Exactly. And that's why we're seeing CMOs advocate for these hires. At Estée Lauder, the Chief AI Officer sits in the office of the CEO but spends about 60 percent of his time on marketing use cases — things like dynamic pricing on their ecommerce sites, personalized skincare recommendations, and even supply chain optimization for limited-edition launches. Luna: I've also seen the role at Ulta Beauty. Their CAIO focuses heavily on loyalty program AI — predicting churn, optimizing rewards, and personalizing offers. Lucas: Yes, and that's a great example because the loyalty program generates so much first-party data. Without someone who can architect the AI strategy around that data, it's just raw numbers. The CAIO turns it into a competitive advantage. Luna: But is this a role that every company needs? Or is it only for large enterprises with massive data sets? Lucas: I think it depends on the complexity of your marketing operations. If you're running a direct to consumer brand with a handful of products and a simple customer journey, you probably don't need a dedicated CAIO. You can lean on agency partners or platform tools. But if you have multiple business lines, different customer segments, and a sophisticated media mix, the coordination problem becomes real. Luna: What about the risk that this role becomes a bottleneck? If all AI decisions go through one person, doesn't that slow things down? Lucas: That's actually a criticism I've heard from several CMOs. The solution, I think, is to define the CAIO as a coach and architect, not a gatekeeper. The best ones I've spoken with are building AI literacy across the marketing team — training brand managers on how to use predictive tools, teaching media planners how to evaluate algorithm outputs — rather than centralizing all AI work. Luna: So they're scaling their own expertise. Lucas: Right. And that's why the title matters. If you call someone a 'director of AI' they might focus on execution. But 'chief AI officer' signals a strategic mandate to set vision, build capability, and ensure governance. Governance is actually the part I think a lot of companies are underestimating. Luna: Governance meaning — bias in models, data privacy, regulatory compliance? Lucas: All of that. Plus brand safety. I spoke with the CMO of a major financial services company who said their Chief AI Officer is the one person who can say 'no' to a marketing team that wants to use AI in a way that could create a compliance risk. That's a powerful check. Luna: What's the reporting structure look like in most cases? I've seen it both ways — CAIO reporting to the CMO, and CAIO reporting to the CEO. Lucas: The Gartner survey shows that about 55 percent of Chief AI Officers report to the CEO, 25 percent report to the CTO or CIO, and only about 12 percent report to the CMO directly. But the CMOs I've talked to who have a CAIO in the org — even if they don't own that person — say the key is having a dotted line or a very close working relationship. Luna: Does the role have a typical tenure? I imagine it's a high-burnout position. Lucas: It is. The average tenure so far is about two to three years, which is short. Partly because the technology is moving so fast that the playbook changes every twelve months. And partly because the role is so broad — you're expected to be a technologist, a strategist, a change manager, and sometimes a crisis handler. Luna: What's the compensation like? I've seen some jaw-dropping numbers. Lucas: It varies wildly, but for a Fortune 500 company, you're looking at total comp between $800,000 and $1.5 million. That's not cheap, which is why some companies are trying a fractional CAIO model — sharing an AI leader across multiple business units or even across companies. Luna: Is that working? Lucas: Early days, but I've heard positive signals. A mid-size retailer told me they hired a fractional CAIO for two days a week and felt that was enough to create a coherent AI roadmap for their marketing team. The fractional person had experience across multiple industries and brought best practices from each. Luna: That's interesting because it lowers the barrier to entry for companies that can't justify a full-time executive. Lucas: Exactly. And I think that's where the trend is heading. We're going to see more specialization within the role — maybe a Chief AI Officer focused on customer-facing AI versus one focused on operational AI. Luna: So what's the one thing every CMO should do today if they're considering creating this role? Lucas: Audit your current AI use across marketing. Map out every model, every algorithm, every automated decision that touches a customer. You'll probably find six to ten places where AI is already in use, but no one person is overseeing it. That's your starting point. Then ask: is the risk of not coordinating greater than the cost of hiring someone to coordinate? Luna: And if the answer is yes, you might need a Chief AI Officer. Lucas: Or at least someone who can fulfill that function, whether full-time or fractional. Because the era of AI in marketing being a side project — that's already over.