Marketers love to argue. Not just because we’re passionate, but because far too many secretly believe that what worked for their team, their brand, their organization should work everywhere. It doesn’t.
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We’re at a strange crossroads in AI development where the models are getting more capable, but their inner workings are becoming harder to trace. Chain-of-Thought (CoT) monitorability might be the closest thing we have to a flashlight in that black box. But we have to ask ourselves if we’ll keep using it, or shut it off in the name of speed and efficiency?
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Welcome to the Pit. Marketing isn’t a vibe right now. It’s a mosh pit out there and if you’ve never been in one, think sweaty, chaotic, loud and half the time you’re just trying not to get elbowed in the face (except currently at the marketing show it’s by another LinkedIn post about how AI will “revolutionize your workflow.”)
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Everyone’s talking about the White House’s new AI Action Plan like it’s the moon landing. But here’s the truth: it’s less “one giant leap for mankind” and more “full-speed sprint with no map.” It’s ambitious, sure, and what’s not to love about ambition, but ambition without direction is just noise. And in the rush to dominate, we risk designing a future that forgets the user.
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I’m not being a hater. This isn’t going to be some technophobic, luddite-style rant. It’s just fact. AI is incredibly useful. It creates massive efficiencies, transforms outdated processes, drives revenue, and with the right leadership activating the tech (and a bit of perseverance), we have the chance to upskill people for the future of work.
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Here’s a little personal history and a look at how a dystopian anime cracked open a very real conversation in my head. Lazarus, the Shinichirō Watanabe anime, turns out to be less escapism and more eerily familiar reflection.
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This past year tried to break me.
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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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