#AI is no longer a future topic for #Marketing! It’s reshaping how we work, create, and grow revenue now. Here are 5 key insights from the Stanford University AI Index Report 2026 every marketing organization should understand: ▶️ AI can boost marketing productivity by ~50%, especially in content creation, campaign development, and creative iteration. Smaller teams can now deliver much larger outputs. ▶️ 67% of companies report revenue increases from AI in marketing and sales, making it one of the most commercially impactful AI use cases across business functions. ▶️ Marketing is among the most widely adopted AI functions, with more than half of organizations already using AI in marketing and sales workflows. ▶️ AI is improving core marketing outcomes, including innovation, customer satisfaction, and competitive differentiation, and not just efficiency. ▶️ AI agents are still in early adoption, meaning marketing organizations that experiment now have a real opportunity to gain an early competitive advantage. Bottom line: AI in marketing is no longer about experimentation! It’s already about execution, scaling impact, and staying competitive. Do you want to read the full report? Here it is: https://lnkd.in/dwE_BMaC — 👉 Love my content? Like it! 👉 Found this helpful? Share it! 👉 Want to see more? Follow me: https://lnkd.in/dNwYS-HN

I asked 160 CMOs why AI is not scaling Only 7% said tools, the rest lack use cases That's the gap no one’s talking about. Teams have the licences. They've done the all-hands. But six months in, a handful of people are achieving genuine gains Everyone else is still dabbling The decision paralysis is real: What do we automate? What will move revenue? What should we keep human? The teams pulling ahead aren't using more tools. They're decisive about one call: Which are the highest leverage use cases to automate? That decision is what separates execution from experimentation. Most marketing orgs haven't made it yet. So I built a decision engine to make it faster. 110 workflows mapped to revenue impact across 11 marketing functions. ↳ Pick your bottleneck. ↳ Choose your path: AI assisted or agentic. ↳ Instantly see the tools and the guardrails others are using to fix it. Which part of your marketing is stuck in AI experimentation right now? Comment USE CASE below and I'll DM you the playbook.

AI is not replacing the marketing function. It is exposing where the marketing function was already too slow, too manual, or too disconnected from commercial performance. At CMO North in Manchester on Wednesday, 6 May, I’m most interested in one discussion: how AI is augmenting the marketing function.” Because the real conversation is not “which tools are you using?” It is: ❓ Where is AI improving decision-making? ❓Where is it removing low-value manual work? ❓Where is it helping teams understand customers faster? ❓Where is it sharpening creative, rather than flattening it? ❓And where is it creating more noise than value? The 2025 CMO Survey found that company use of AI and machine learning in marketing optimisation and automation has increased 100% since 2022, with a further 157% growth projected over the next three years. That is a serious shift, but growth in usage does not automatically mean growth in impact. For CMOs, the challenge is no longer whether AI belongs in marketing. It is how we build a marketing function where people, data, creativity, governance, and commercial outcomes work together properly. I’ll be listening closely for the practical examples. Not the hype. Not the demos. The operating model. What I’m especially interested in: how marketing leaders are deciding what should be automated, what should be augmented, and what should stay deeply human. Provocative question before the event: Is AI making marketing more strategic, or just helping us produce more stuff, faster? #CMO #MarketingLeadership #AIinMarketing #B2BMarketing #MarketingStrategy

If I were the CEO of a company right now, these are the questions I'd be asking my marketing team. Not to put them on the spot, but hoping they're taking a leadership role in this whole AI phenomenon. On strategy: - Is AI on our marketing roadmap or are we still treating it like a shiny object? - Are we using AI to get smarter about our customers or just to move faster on the same old stuff? - What decisions are we still making manually that AI could be informing right now? On execution: - Where exactly is AI saving us time and what are we doing with that time? - Are we producing better work or just more of it? - What does our tech stack look like today versus 18 months ago? On competitive awareness: - Do we know what our competitors are doing with AI? - Are there capabilities they have right now that we don't? - What's our honest answer if a prospect asks us how we use AI? On the org: - Who on the marketing team owns AI adoption? If the answer is "everyone," the answer is no one. - Are we training the rest of the company on what marketing AI can do for them or waiting to be asked? - Is my marketing team learning faster than the market is moving? The tough conversation starters: - Is my team excited about AI or quietly threatened by it? - Are we experimenting and failing fast or playing it safe to protect our lane? - If I hired a fractional CMO tomorrow, would they walk in and tell me we're behind? Your marketing team should be the ones driving this conversation...with collaboration from IT, sales, and even operations. If they're not, that's your answer. #AI #MarketingLeadership #FractionalCMO #CEOmindset #MarketingStrategy

Most of us are building our AI stacks backward. We start with tools. That is literally the last decision, not the first. There are over 3,800 AI marketing tools available right now. 54% of CMOs still say key tools are missing from their stack. More tools did not close the gap. Because the architecture was never built. Here is how I think about it. You need to build the four layers. Strategy first. Brand positioning, ICP, growth thesis, campaign intent. If you hand this to AI before you have defined it yourself, the AI will hallucinate your strategy. That too, confidently. Voice second. Tone, narrative, messaging hierarchy, and content guardrails. Most of us skip this and wonder why everything we produce sounds the same as everyone else. Execution third. Content, personalization, paid automation, and agentic workflows. This is where most of us start. We buy execution tools before we know what we are executing. Measurement last. Attribution, business impact, revenue influence. Measuring the volume of content generated by AI is not a measurement. That is just counting. AI is delivering ROI through time efficiency for 49% of CMOs and cost efficiency for 40%. That ROI only compounds when the first three layers are solid. The stack is not the strategy. It never was. It will never be, as long as you're building brands for humans. :-) Which of these four layers is your weakest right now? [Most don't even know what this is. I can see that.] ----- #BrandStrategy #AIMarketing #CMOLeadership

𝐌𝐨𝐬𝐭 𝐦𝐚𝐫𝐤𝐞𝐭𝐞𝐫𝐬 𝐚𝐫𝐞 𝐮𝐬𝐢𝐧𝐠 𝐀𝐈 𝐰𝐫𝐨𝐧𝐠. They think AI is here to replace creativity. Or to “automate marketing.” That’s low-level thinking. Because AI is not the competitor. AI is the amplifier. And there’s a massive gap between: 👉 People who use AI as a tool 👉 And people who use AI as a system The first group writes faster. The second group builds unfair advantages. Let’s be clear: AI won’t fix bad positioning. AI won’t save weak offers. AI won’t replace unclear messaging. But here’s what it will do: ✔ Turn average marketers into high-output machines ✔ Turn ideas into campaigns in minutes ✔ Turn data into decisions instantly ✔ Turn consistency into scale Now imagine this: A marketer who understands psychology + strategy + AI leverage… They don’t just create content. They create 𝐝𝐢𝐬𝐭𝐫𝐢𝐛𝐮𝐭𝐢𝐨𝐧 𝐬𝐲𝐬𝐭𝐞𝐦𝐬. They don’t just run campaigns. They run 𝐠𝐫𝐨𝐰𝐭𝐡 𝐞𝐧𝐠𝐢𝐧𝐞𝐬. That’s the shift happening right now. Not “AI in marketing.” But 𝐦𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠 𝐫𝐞𝐛𝐮𝐢𝐥𝐭 𝐛𝐲 𝐀𝐈. And the gap is growing every single day. Because while some are still asking: “What should I post today?” Others are building systems that ask: “How do I scale this 100x using AI?” Same tools. Different thinking. Completely different outcomes. #ArtificialIntelligence #AIMarketing #DigitalMarketing #MarketingStrategy #GrowthMarketing #Automation #FutureOfMarketing #B2BMarketing #MarketingLeadership #BusinessGrowth #AITransformation

End of the road for the ‘Mad Men’ as AI moves into advertising Marketing teams that were built for an era of big ideas, long brainstorms, and human-only craft are facing a new reality: AI is starting to take on parts of the advertising workflow that used to be reserved for creative departments and sprawling agencies alike. 📣🤖 Here’s what the news is pointing to: - Larger, multi-layered marketing groups are struggling to adapt quickly enough to new technology. - AI tools can speed up production, testing, and personalization—areas that historically demanded time, people, and process. - The shift raises operational questions: who owns quality, how work is reviewed, and how teams restructure when output cycles get faster. The story isn’t about AI “replacing” everything overnight—it’s about how quickly the center of advertising work is changing, and how hard it can be for organizations designed around traditional methods to keep up. 🧩 For marketing leaders, it’s a moment to rethink workflows, governance, and upskilling—not just creative output. #superintelligencenews #superintelligencenewsletter #AIinAdvertising #Marketing #AdTech #CreativeIndustry #GenerativeAI #DigitalTransformation

After 20+ years in marketing, you notice when new technology is being absorbed well versus absorbed poorly. AI is in that moment right now. The conversation in most marketing organizations has been dominated by the question: what can it produce? More content, more variants, more outputs. That's the visible layer. The teams pulling ahead are asking a different question: how does the work itself need to change? McKinsey's State of AI 2025 report (covering ~2,000 organizations) puts numbers behind this. Of all the organizational factors they tested, workflow redesign had the single biggest effect on whether companies capture real EBIT impact from AI. Their "high performers", about 5% of the sample, are 3x more likely than peers to have fundamentally redesigned how work gets done. In B2B marketing, the practical version looks like this: → Competitive intelligence and brand awareness shifts from periodic to continuous, a living document, not a quarterly project. → Brief-to-production cycle times compress, not because AI writes the assets, but because it shortens the loop around them. → Segmentation gets better. More variants tested, more personas identified, and messaging validated by data rather than opinion. McKinsey found that AI is roughly "20% algorithms and 80% organizational rewiring." The teams that internalize this early will look very different from the teams that don't in 18 months. What's the highest-leverage AI workflow your marketing team has produced this year? Curious what's working for you. #AIinMarketing #AI #Marketing

One of the biggest AI mistakes marketing teams make is assuming more content automatically creates more momentum. It does not. More content without better strategic direction usually just creates more average performance. The activity increases. The dashboards get busier. The business impact stays mostly the same. AI amplifies whatever system already exists behind it. A strong campaign strategy becomes faster and more efficient. A weak strategy becomes louder and more crowded. That is why mid-year reviews matter so much. The numbers eventually expose whether AI is improving outcomes or simply increasing production volume. The brands pulling ahead right now are not just publishing more. They are learning faster from campaign data and adjusting faster than competitors. Momentum comes from optimization, not activity. Is your AI workflow helping your team learn faster or just produce faster? #AIMarketing #BulletproofMarketer #MarketingStrategy #B2BMarketing #ContentMarketing #MarketingLeadership #DataDriven

AI won’t replace marketers. It will replace the parts of marketing nobody should have been doing in the first place. After going through a recent report, one thing stood out: AI isn’t the advantage. It’s the amplifier. A few takeaways: 1. AI scales what already exists Good strategy → better results Weak fundamentals → faster mistakes 2. Personalization is no longer an edge If everyone does it, it’s not differentiation. It’s the baseline. 3. Optimization ≠ growth AI is great at capturing demand. Much less at creating it. 4. The real shift is in how we work AI replaces repetitive execution - not thinking. The bar moves from doing to deciding. 5. The biggest gains aren’t flashy They show up in CRM, data, and decisioning - not just content or campaigns. Bottom line: AI is less about transformation, more about exposure. It quickly shows: → where strategy is weak → where measurement is flawed → where “performance” is just attribution Curious how others see it - are you using AI to improve marketing, or just to do it faster? #AIEthics #ArtificialIntelligence #DataScience #Marketing #LifelongLearning