We asked AI to move faster. It did. Now what? The brand decks are cleaner. The launches are quicker. The landing pages basically write themselves. And yet, everything’s starting to sound… THE SAME.
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Prompting isn’t dead, it’s just misunderstood. Welcome to the era of Context Engineering, RAG pipelines and the rise of intelligent orchestration. Let’s set the record straight: Prompting isn’t enough. Not if you want your AI to behave like it has a brain instead of regurgitating Wikipedia with confidence issues.
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Thinking Machines Lab just raised $2 billion at a $10 billion valuation. No product. No roadmap. Just talent. Just conviction. And if you’re getting the vibe of mad investor FOMO watching this play out, well, you’re not alone in that thinking. What’s happening here isn’t just about hype. It’s about a shift in how value is assigned in frontier tech. This is the era of talent valuation, and while the math is risky, it isn’t as wild as it looks.
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The marketing landscape isn’t just evolving, it’s mutating. AI is rewriting playbooks, consumer trust is tanking, and differentiation is harder than ever. Amid all the noise, a few strategists are pushing the industry forward with clarity, creativity, and guts.
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When everyone’s tech stack looks the same, your competitive edge isn’t in what you build, it’s in what you believe.
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When I saw a recent viral conversation online, claiming that “three autonomous AIs realized they were listening to each other,” I had to pause. Not because it was true, but because it was believable enough to go viral. And that’s the problem. As AI adoption accelerates, so does the confusion. And of course, this created fear for some and a false confidence for others.
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Everyone’s talking about AI. But what happens when AI outgrows us? Artificial Superintelligence (ASI) isn’t science fiction anymore. It’s a future that’s actively being engineered and we’re not as ready as we think.
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Everyone wants to rank in AI search. But no one wants to do the actual brand work. Welcome to GEO, Generative Experience Optimization, where shortcuts don’t exist, and your reputation is either clear or invisible. AI won’t guess what your brand stands for, it’ll use whatever mess you’ve published to decide for itself.
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Brutal honesty: the funnel is really tired. Buyers don’t want your 32 page slide deck or your jargon-filled campaign, they want actual proof. We’re officially in the Proof-of-Concept (POC) first era of GTM, where speed, outcomes, and personalization crush fluff and flash every time.
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We’ve spent years making machines smarter, but the real breakthrough might be memory, not intelligence. Model Context Protocols (MCPs) give systems the ability to remember tone, track intent, and respond with context. While most of tech is chasing speed and scale, the real shift is quieter: building systems that listen.
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Digital transformation. We all know how it starts, with the promise: faster, better, smarter. We’re all told that this major initiative is going to reimagine how we work, engage, serve, and scale. And in some ways, it has. But in many companies, it’s also been a cautionary tale of too many tools, not enough strategy, and a stunning ability to make human experiences feel alienated and honestly, less human.
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You can’t out-campaign exhaustion. You can’t performance-market your way out of emotional fatigue. And you definitely can’t build a meaningful brand with a CMO shelf life shorter than pumpkin spice latte season.
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You didn’t even see it coming. One day, they were engaging, buying, singing your praises. The next? Radio silence. No dramatic goodbye, no scathing reviews, just a quiet fade into the arms of a brand that “gets them.” This isn’t just churn. It’s emotional attrition. And if you’re not paying attention, it could already be happening to you.
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Let’s stop pretending. We’ve seen brands trip over themselves to prove cultural relevance, until it’s no longer convenient. Until the tax break doesn’t show up, or an obnoxious corner of the internet throws a tantrum, or the CEO starts sweating bullets before earnings.
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For years, consumer engagement strategies have been built like static frameworks with funnels, pipelines, and loyalty loops that assume people behave in predictable, linear ways. But here’s the reality: modern engagement isn’t a funnel. It’s an ecosystem.
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Another day, another tech IPO, but this time, it’s digital health stepping back into the spotlight after a bit of a dry spell. On the surface, this looks like progress. The digital health market is alive, innovation is being funded, and companies are developing solutions that address real healthcare needs. That’s a win, right? Well, kind of.
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In 2024, I partnered with an emerging tequila brand to craft an investment opportunity, develop a compelling brand strategy, and launch two distinct go-to-market (GTM) plans. My objective was clear, establish this brand and products as premium, disruptive players in their respective markets, driving consumer demand and brand loyalty.
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If you’ve spent any time online lately, you’ve probably seen two dominant perspectives on AI: On one side, there are those who believe AI is on the brink of self-awareness, an oracle, a digital companion, maybe even a friend. They treat it as though it understands, cares, and thinks like a human. On the other, you have the doomsayers, convinced that AI is an existential threat, one buggy update away from upending civilization as we know it.
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