CMO Role Evolves to Strategy and Leadership

The CMO isn’t disappearing. The role is evolving. As AI makes marketing execution faster and more accessible, the value of strong marketing leadership is shifting toward strategy, judgment, customer understanding, and shaping where a company competes. The next generation of CMOs may lead leaner, AI-enabled teams, but their influence across the business could be greater than ever. Learn more here: https://hubs.ly/Q04xzrrD0 #cmo #marketingleadership #AI #marketingstrategy #futureofmarketing #leadership

"Marketers: Is AI adoption failing because we are buying the tech but forgetting the people? A new article from Kellogg School of Management suggests exactly that. While 86% of leaders see AI's promise, only a fraction are redesigning workflows to make it stick. The key takeaway for me: This isn't a technology problem; it's a leadership and change management problem. As the article states, the focus must shift from 'size' to 'shape' of the organization, rethinking layers of work from execution to decision-making. I highly recommend the read for anyone leading marketing transformation. https://lnkd.in/eEwNyxJD #aimarketing #digitaltransformation #futureofwork #marketingstrategy

AI is rewiring how organizations work, with implementation being a leadership challenge for putting the technology to good use across the marketing function. Success will require thinking about change management. That means identifying the problems where AI implementation will make the most impact, redesigning workflows around AI, coaching employees continuously, rethinking your organization’s shape, and focusing on customer value over labor efficiencies.

If I were speaking at a marketing conference this autumn, this is the talk I'd want to give. Not the one about marketing attribution. Not the one about channel mix or demand gen benchmarks. The one about what happens to marketing teams when AI removes the work that used to fill the day, and what that means for how you lead them. Because here's what I think nobody's really talking about yet: most of the AI conversation in marketing is about tools and efficiency. Output faster, spend less, automate the tedious bits. Fair enough. That's real. But the more interesting question, and the one I keep coming back to, is what it does to the people. When AI handles the first draft, the research, the scheduling, the analysis, what's left is judgment. Creativity. Commercial thinking. The ability to look at a brand and know whether something is right for it, not just whether it performs. The human part. That's not a smaller job. That's actually a harder job. And leading a team through that shift, helping people find their place in a world where their role is changing faster than anyone told them it would, that takes a specific kind of leadership. People-first. Clear on purpose. Comfortable with ambiguity. Not just AI-literate but human-literate. That's the conversation I want to be having on stages. And I'm starting to have it. What talk do you think your industry needs right now but nobody's giving yet?

AI is reshaping how work gets done, and the marketing organizations adapting fastest are: • Investing more time in narrative clarity, not less. • Defining human accountability clearly, especially at the strategy layer. • Treating AI as a multiplier of leadership quality, not a replacement for it. As #AI makes execution faster, cheaper and easier to scale, clarity and discernment become the real advantage. The strongest teams will know what matters, where to focus and when human judgment must take the lead. The new rule of AI-powered marketing: Technology expands what teams can do; #leadership determines what deserves to be done. https://lnkd.in/ebn2QVRK #cmo #cx #trust

I shared a few thoughts on something I believe is becoming a real competitive advantage for companies: 💡𝐡𝐨𝐰 𝐟𝐚𝐬𝐭 𝐲𝐨𝐮 𝐜𝐚𝐧 𝐭𝐮𝐫𝐧 𝐬𝐢𝐠𝐧𝐚𝐥𝐬 𝐢𝐧𝐭𝐨 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐬 𝐚𝐧𝐝 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐬 𝐢𝐧𝐭𝐨 𝐚𝐜𝐭𝐢𝐨𝐧. AI can make us faster, but speed alone isn’t the point. The interesting part is how we combine data, AI, experimentation and human judgment to learn faster, make better calls and double down on what actually works. This goes well beyond marketing. For business owners and C-level leaders, it’s really about building organisations that can adapt faster than the market around them. Would love to hear how others are thinking about this. https://lnkd.in/eAFCj_TM #Leadership #AI #BusinessGrowth #MarketingLeadership #CMO #DataDriven #GrowthStrategy

Marketing budgets aren't growing. They're basically flat, 7.8% of revenue in 2026, barely up from last year, one of the weakest growth stretches in years. And yet CMOs are putting 15.3% of that flat budget into AI. Do the math on that for a second. Every dollar going into AI right now isn't new money. It's coming out of something else. Headcount. Media spend. Martech. Creative production. Someone's budget got smaller so AI's budget could get bigger. Here's the number that should worry a lot of marketing leaders more than the spend itself. Only 30% of marketing organizations say they're actually ready to scale their AI investments. Seventy percent are funding a capability they've openly admitted they can't yet use at scale. That's not really an AI investment story. It's a forced-prioritization story dressed up as one. Flat budgets meant something had to give, and most CMOs chose to protect AI spend over everything else, largely betting that organizational readiness would eventually catch up to the investment. The data says that bet hasn't paid off yet for most of them. The CMOs actually pulling ahead aren't just the ones spending the most on AI. They're the ones with enough budget headroom to fund AI and build real readiness around it at the same time, a noticeably smaller group with larger overall budgets to begin with. If your team is in the 15.3% but not the 30%, the fix isn't more AI budget. It's closing the readiness gap before adding more spend on top of it. Is your AI budget outrunning your team's ability to actually use it? --- Source: Gartner 2026 CMO Spend Survey (link in comments) — Vivek Nair Marketer · Founder · Happiness Coach viveksnair.com

Customer expectations continue to evolve, and technology is accelerating the pace of change.   As I read BCG’s latest research on the future of marketing, I was reminded that successful transformation isn't about adopting every new tool. It's about staying focused on the customer while embracing new ways to create value.   The organizations that will lead in the years ahead won't be those with the most technology. They'll be the ones that best connect technology, talent and customer insight.   AI is opening new opportunities for personalization, efficiency and decision-making, but the fundamentals remain unchanged: 1. Listen to customers. 2. Learn continuously. 3. Deliver value.   No matter how technology evolves, those principles remain at the core of how we create value for customers and achieve meaningful business outcomes.   #CustomerCentricity #Leadership #AI #Marketing https://lnkd.in/gYWCzDbP

AI may be making marketing more efficient while quietly exposing how strategically weak some marketing organisations have become. Yes, productivity will greatly improved: Research becomes faster. Campaign variations increase. Content becomes cheaper to produce. Data can be analysed more quickly. Customer journeys can be automated. Teams can potentially accomplish work that once required considerably more time and people. From the boardroom, the conclusion can therefore appear straightforward: If marketing can now do more with less, perhaps the marketing function should simply become leaner and more efficient. But there is a problem…. QUALITY OVER QUANTITY Technology can improve the speed of marketing execution without improving the quality of the marketing decision behind it. And businesses often confuse the two. A company whose customers do not clearly understand why its brand is different can now create fifty advertisements instead of five. Yet have a positioning problem. A business collecting millions of customer signals can build increasingly sophisticated dashboards while remaining unable to answer why customers leave, why they choose competitors or what they genuinely value. It still has a customer-understanding problem. A poorly designed customer journey can now be automated from beginning to end. It is still a poor customer journey. And a marketing team can become extremely efficient at producing activity that contributes very little to sustainable growth. That is why I believe AI is creating a much more uncomfortable question for marketing leadership: What if capacity was never the real constraint? What if the deeper constraint was judgement? Which market should we prioritise? Which customer problem is commercially worth solving? What should our brand genuinely stand for? Where should growth come from? Which activities should we stop funding? Which decisions require human judgement? Which metrics demonstrate progress rather than simply activity? These questions existed long before generative AI. The difference is that technology is now removing some of the excuses that allowed organisations to avoid them. “We need more people.” “We need more content.” “We need another platform.” “We need another agency.” “We need better tools.” Sometimes those things are true, until the organisation actually needs is a clearer decision. For African businesses in particular, I think there is an important lesson here. Our competitive advantage will come from understanding our markets deeply enough to know where technology genuinely strengthens customer value and commercial advantage and where it merely adds activity. Before asking where AI can reduce marketing cost, I would ask leadership teams four questions: What customer or commercial outcome should change? What strategic constraint is preventing that today? Does technology actually remove that constraint? #MarketingStrategy #CMO #MarketingLeadership

The Claude Cowork Masterclass at LeadWalnut started as a small room where marketing teams ran their first AI agent. Five editions later, it looks nothing like that. Now the room is full of leaders reshaping their marketing function around agentic ops. The questions shifted from "how do I use this" to "how do I rebuild my marketing function around it." The last edition was joined by 50+ CMOs and heads of marketing from B2B enterprises, all circling the same problem. Adding AI to speed up old work isn't the win anymore. The teams winning right now are wiring agentic workflows into the core of how marketing runs, tied to the KPIs they actually answer for. That's an AI-native marketing function. And that's what Edition 6 is all about. Built for marketing leaders going all-in on agentic ops — not bolting AI on the side. 📅 22nd Oct, Thursday · 8:30 PM IST | 4 PM UK | 11 AM ET 🎟️ Invite-only, for CMOs and marketing leaders. 🎫 Reserve your seat: https://lnkd.in/gy9TaAYe