Forget the hype, the frameworks, and the “AI roadmaps.” Here’s what actually works. Let’s get this out of the way: most AI “strategies” are theater. Decks. Demos. Buzzwords wrapped in billable hours. You’ve seen it. A consultant rolls in with a 70-slide presentation full of “maturity matrices” and “transformation frameworks.” They talk about aligning AI to business objectives, governance layers, and something-something operational synergy. And yet—three months later, your tea

Let’s just call this what it is. Everybody’s out here saying AI is going to “help people do more meaningful work” and “enhance productivity.” That’s the PR story. That’s the version for the public. But I’ve been in the rooms where the real conversations happen, and I can tell you exactly what’s being said behind the scenes. The first question out of a CEO’s mouth isn’t “how do we empower our employees with AI?” It’s “how do I get rid of my employees?” They might not say it th

Somewhere between a vending machine in Anthropic’s lobby and a meme painted on a Memphis rooftop, capitalism quietly booted up a new operating system. We used to say “AI is coming for your job.”Now it’s coming for your org chart. The Dawn of Machine Capitalism Let’s start with a vending machine.A simple, stupid, beautiful vending machine. Anon Labs gave an AI $500 and said, “Go make a profit. ” No human babysitter. No preloaded logic tree. Just a digital brain, an API key, an

I’ve always been a hands-on kind of guy. I like to understand how things actually work —from the power that drives the servers to the AI models running on them, and the capital that fuels it all. The truth is, to build what I want to build in this space, I needed to get my hands around the entire stack . That’s why I’m excited to share that I’ve joined Eliakim Capital  as Managing Partner and Chief AI Officer. It’s an incredible opportunity to help shape how compute, power, a

A while back, I wrote about The Meaning Economy  — the idea that as AI and automation steadily absorb traditional labor, the next wave of value creation won’t come from what we do for a living , but from what we create, express, and share  as humans. That idea felt theoretical at the time — but now we’re starting to see the first real-world on-ramps appear. One of the clearest? Tech storytelling. The Human Layer That Machines Can’t Replace Across industries — politics, media,

For as long as most of us can remember, we’ve been taught to introduce ourselves as our roles. “I’m an accountant.”“I’m an engineer.”“I’m in IT.” Somewhere along the line, our job titles became our identities. And for decades, that worked fine—because the world moved slowly enough to let us keep up with our own definitions. But AI just broke the speed limit. Now the skills that defined those roles are evolving faster than we can rewrite our résumés. The ground beneath our ide

And why AI might finally slow us back down. There was a time when running a process meant you could go make a sandwich. Back in the day, computing was slow. You’d start a program, watch the progress bar crawl, maybe hear the hard drive click like a heartbeat, and then… you waited. Compiling code? Go grab lunch. Rendering a video? See you in the morning. Early computing was a Zen garden of patience and progress wheels. Then we got impatient.We wanted faster chips, shorter wait

“Optimus will eliminate poverty and provide universal high income for all.” — Elon Musk That line didn’t just drop into the news cycle — it landed like a flare. Because if Elon’s right, we’re not talking about the next version of work. We’re talking about the end  of it. For generations, we’ve been told that work is what makes us who we are. But what happens when machines do the work — and humans get the why ? The Digital Labor Class Came First Let’s start with a little truth

Let’s start with a truth that makes a lot of people uncomfortable: The most valuable data set in the world isn’t sitting on a server. It’s sitting in people. Specifically — in you. All those years of doing, breaking, fixing, managing, selling, designing, negotiating, training — that’s data . Real, human data. Pattern recognition, decision trees, instinct models, and judgment calls that no algorithm could fake until now. And here’s the part nobody’s saying out loud:That knowle

You ever notice how every era has its buzzword bullshit? Like, back in the day, every computer was bragging about its clock speed. “1.4 gigahertz!” “2.0 gigahertz!” It was the language of power. Nobody actually knew what it meant, but it had a number, and bigger numbers meant better computers, right? Same with RAM. Same with hard drives. Same with every tech label we could slap on a box. “Intel Inside” was practically gospel — and it didn’t matter if anyone understood it. Mar

So, I just finished watching Jensen Huang sitting next to Elon Musk — both of them nodding in agreement — saying there’s no AI bubble. And, you know what? That hit exactly the way I thought it would. Because it’s not a revelation; it’s confirmation. I wrote two days ago that there is no AI bubble — only a delusion bubble  — and this, right here, is the proof. Not because Jensen said it, but because he had  to say it. The narrative has finally caught up to the math. This is wh

I just got back from a data conference in Chicago, and I left honestly stunned. Not by the technology — by the people. Panel after panel, supposedly “leaders” in data science, logistics, and analytics — all of them dancing around the same idea: “We’re being cautious about AI.” Cautious. That word kept coming up like a reflex, a corporate mantra. “We’re waiting for regulation.” “We’re concerned about bias.” “We don’t trust the outputs.” It was like watching a room full of data

When Berkshire Hathaway makes a move, markets don’t just react—they pause. Because when Warren Buffett, the high priest of long-term value, decides to buy something, it’s usually not a guess. It’s a signal. This week, that signal came in the form of a $4.3 billion stake in Alphabet, Google’s parent company. The buy makes Alphabet one of Berkshire’s top ten holdings, right alongside American Express, Coca-Cola, and of course, the ever-beloved Apple. And that, in itself, is al

There’s something almost biblical about the way these guys operate.They don’t build companies anymore — they build temples to themselves. You’ve seen it: the aging executive who insists on running a “modern digital venture” entirely through local copies of Microsoft Word . No version control, no shared drives, no Google Docs, no transparency. It’s not about productivity — it’s about control.He treats the document like sacred scripture, locked in his desktop tomb where only he

Every era of technology has its cartographers. People who climb high enough above the noise to see the shape of what’s coming, and then translate it into something the rest of us can navigate. For decades, Mary Meeker has been one of those people. Her Internet Trends  reports shaped the early web, the mobile wave, and the first real data-driven understanding of our digital lives. And her new deep-dive into AI marks another one of those moments where her view from altitude cl

There are days when I leave a session feeling like we just cracked a new code for what’s possible. And then there are days like this . Yesterday was Alchemy at AI Speed —eight and a half hours of pure momentum. One client, one mission, one day. A full platform, born from nothing, live by dinner. That’s what it looks like when the spark hits oxygen. Today? Today was the opposite. Five months (actually five years ) into a project that should’ve taken five days . A team of smart

Why I don’t meet — I build. If you’re looking to “schedule a meeting,” stop. I don’t do meetings. I do. And I don’t mean that like a tagline — I mean it literally. If I have an hour free, I’m not spending it talking about  doing something I could just… do. That’s not impatience; that’s what focus looks like in the age of AI. The work I do doesn’t start with discussion. It starts with motion. Meetings were invented for people who didn’t have the tools to execute in real time.

It used to be the one with the title. The corner office. The authority. Not anymore. Today, the most dangerous person in any room isn’t chasing applause, approval, or perception. They’re the one sitting quietly in the back — calm, confident, and completely underestimated — because they’re running a system in their head no one else can see. That’s operational power — and it’s rewriting everything you think you know about hierarchy, influence, and control. The Old Game: Power T

Let’s start with a truth that’s equal parts uncomfortable and undeniable: If you’ve got deep expertise in anything  — consulting, medicine, engineering, marketing, welding, whatever — you’re training your replacement right now. And no, not the human one. The AI one. Projects like Argentum  (Bloomberg’s scoop about hundreds of ex-McKinsey, Bain, and BCG consultants training AI to do entry-level consulting) and Project Mercury  (ex-bankers teaching financial modeling to models)

Let’s be honest—process mapping used to suck. It was the equivalent of eating your vegetables before you could touch the steak. Necessary? Sure. Fun? Not remotely. Whether it was defining database structures before writing a single line of code, or sketching out user journeys before building an app, process mapping always felt like the preamble to the “real” work. But here’s the thing: it was always the most important part. If you've ever written a business plan, mapped out a