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

The Week the World Tilted — and the Republic Remembered Itself Every era has that moment where history stops pretending to move slowly. This might be one of those weeks. We’ve seen nations topple, borders redrawn, and policies announced that could reshape global economics for decades — but among all the noise, one decision stood out for what it symbolized as much as what it did. The United States has just withdrawn from 66 international organizations  — including over 30 Unit

Every once in a while, a policy comes along that doesn’t just tweak a system — it resets the board. What we saw this week wasn’t just an announcement about real estate. It was a tectonic recalibration of how the American economy defines fairness, ownership, and opportunity. And let’s be honest — it’s been a long time coming. The Dream That Got Outsourced For generations, owning a home was the reward for doing the right things: work hard, save up, build stability. But somewher

The world just changed — and almost nobody noticed. Not because it was subtle, but because it didn’t come through the usual channels. There was no breaking news graphic, no alert from a newsroom, no solemn anchor explaining the narrative. It came through cell phones. Through lives, clips, and fragments. Through people — not press releases. The truth didn’t arrive at a newsroom this time; it arrived online. And you can feel it. Venezuela, Minnesota, Iran — three stories happe

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

In my world, resolution  isn’t a promise — it’s a setting. Something you tweak on a monitor until things look sharp enough. Static. Fixed. Done. But I’m not interested in static anymore. This year, I’m not setting resolutions. I’m setting direction and executing. The Past Two Years: The Build Phase The last couple of years have been about building — systems, tools, prototypes, proofs of concept. Some for Eliakim Capital , some for Data Power Supply , and some just because I

NVIDIA’s $20B strategic integration of Groq marks a structural inflection point in the AI economy. It’s not an acquisition in the conventional sense — it’s a strategic repositioning around the emerging bottleneck in AI economics: inference latency. This move signals a new equilibrium in compute strategy — where capital, physics, and infrastructure converge. It confirms that the next frontier of value in AI will not be determined by training capacity, but by real-time inferenc

Let’s start where everyone’s talking right now — the number. $20 billion. That’s the reported value of NVIDIA’s “not-quite-an-acquisition” of Groq — the little AI hardware company that built a chip so unorthodox, the industry laughed when they unveiled it in 2023. Now? NVIDIA’s folding their architecture, their engineers, and their design DNA into the future of its own inference stack. Except here’s the twist — NVIDIA didn’t buy Groq outright. They structured it as a non-excl

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

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

There’s a new space race underway. Only this time, it’s not about astronauts or flags or dusty footprints on the Moon. It’s about compute. That’s right — the real battle for AI supremacy isn’t happening in data centers in Utah or server farms in Oregon. It’s heading into orbit. Solar Megawatts, Zero Cooling Costs — The Space Data Center Revolution Let’s start with the physics. AI training at scale burns through electricity like nothing humanity has ever built. Training a sing

Let’s get one thing straight: the Pentagon is now preparing for AGI. Yeah. That Pentagon. Buried inside a $900 billion defense bill is a mandate to create something called the AI Futures Steering Committee — an official U.S. Department of Defense body tasked with, and I quote, “scanning the horizon for frontier AI model threats” and developing “human override protocols” to ensure that even superintelligent systems can be shut down by people. That’s not a Reddit rumor. That’s

There’s a feel to precision—the instant a mechanism locks into place and the world goes quiet for half a second.Right before that click, though, there’s the glide: friction drops, alignment happens, inevitability hums. That’s where we are with quantum. The parts are lining up, the resistance is gone, and you can almost feel the system seat itself. History Has a Rhythm Every so often we get a cycle big enough to reset the world.They’re far enough apart that we forget what they

Let’s stop pretending this is complicated. It’s not. We’ve spent 25 years watching American companies train foreign talent, outsource their own innovation, and then cry labor shortage when they realized they can’t find skilled workers at home. Newsflash: you can’t find them because you stopped building them. I know because I was there. I spent months in India during the dot-com boom, training my replacements. Not metaphorically — literally. These people were brilliant. PhDs,

“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

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