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I am writing this one a little differently. I am just returning from vacation in South Texas, staying with a close friend of mine, John. We share a lot in common—our faith, our families, a love of kiteboarding and sailing, and a deep love for this country. John also comes from a remarkable American military family. His father attended West Point, played quarterback for Army, and was coached by Vince Lombardi. He later served in Korea and Vietnam, commanded troops in combat, a

The artificial intelligence infrastructure boom has become one of the largest capital deployment cycles we have seen in technology. Billions of dollars are flowing into GPUs, data centers, power generation, networking, cooling, and the supporting infrastructure required to train and operate increasingly sophisticated AI models. The demand is real, the technological progress is remarkable, and there are legitimate reasons to believe that artificial intelligence will reshape la

I have been complaining about Outlook for most of my adult life. This is not exactly a lonely position. Plenty of people have spent years arguing with it, waiting on it, reorganizing it, and wondering why email still feels like a piece of office equipment that resents being used. My colleague Rich Washburn has been telling me for a long time that I needed to move to Thunderbird. He has also been telling me about Codex, AI agents, and all the rest of it. Anyone who knows Rich

Microcaps have sharply outpaced large caps—but a durable rotation will depend on earnings, cash flow, capital discipline, and a shift from speculative momentum to quality.

Nobel Prize winning researchers do not quietly update their professional profiles on a Friday unless something has shifted in a way that cannot be walked back. John Jumper, who shared the 2024 Nobel Prize in Chemistry for AlphaFold, arguably the most consequential AI driven scientific breakthrough of the decade, recently announced he is leaving Google DeepMind after nearly nine years to join Anthropic. He is not the only one. Jonas Adler and Alexander Pritzel followed within

Earlier this year, T-Mobile sued Broadcom over VMware support for tens of thousands of virtual machines running across more than 300,000 CPU cores. The number is striking, but the more important detail is that T-Mobile is not an isolated case. It is the third major enterprise in two years to end up in litigation over the same issue: what happens when a company builds its entire operational stack on top of a single vendor, and that vendor changes the terms. For investors focus

Scientific breakthroughs often change medicine. Occasionally, they also reshape economies, create entirely new industries, and generate wealth that benefits society for generations. Few places illustrate that better than Indianapolis. For more than a century, the city has quietly stood at the forefront of biologics innovation, producing discoveries that have transformed the treatment of diabetes, depression, obesity, and countless other diseases. Along the way, those scientif

At NVIDIA's GTC conference earlier this year, Jensen Huang told a room full of media something that should reframe how every executive thinks about headcount planning. In ten years, he said, NVIDIA expects to have around 75,000 employees, roughly double its current workforce. Those employees will be working alongside 7.5 million AI agents. A 100-to-1 ratio. Not 100 agents replacing employees. Ratio to employees. That single number is the clearest signal yet of where Huang bel

Most investors know what a microcap stock is in the abstract. Far fewer understand why serious, experienced investors dedicate careers to this corner of the market. This piece covers both: the fundamentals of what microcap stocks are and where they trade, and the core investment thesis that draws disciplined capital to the space. This content is for informational and educational purposes only and does not constitute financial advice. Please consult a licensed financial profes

For most of pharmaceutical history, the dominant paradigm was simple: identify a disease process, synthesize a small chemical molecule to block or mimic it, and deliver the drug orally. The pill was the product. The chemistry was the science. And for decades, this model produced real results controlling blood pressure, suppressing inflammation, managing chronic pain. But control is not cure. And an industry built on managing symptoms rather than correcting the underlying biol

According to Bain and Company's 2026 research, 44 percent of online buyers now build their shortlist inside AI assistants. By the time a prospective client visits your website, makes a call, or responds to an outreach, the agent that advises them has already ranked, compared, and in many cases transacted. OpenAI's 800 million weekly ChatGPT users can now complete a purchase without ever leaving the chat window. That is not a projection. It is the current market. The buying de

Jensen Huang, CEO of NVIDIA and the man who built the hardware that powers the AI revolution, recently made a statement that stopped a lot of people in their tracks: every company will need agentic AI. Not some companies. Not tech companies. Every company. Before you can understand what agentic AI does, or whether your business is ready for it, you need to understand what it is and the engine underneath it. Not What You'd Expect Most people picture AI as a brain: something th

As hyperscale demand outpaces traditional construction timelines, modular and pre-engineered data center solutions are emerging as the fastest path from capital commitment to operational compute.

From Texas to Switzerland, the bottleneck has shifted from compute to power — and the capital flowing into grid stabilization and modular solutions is accelerating fast.

Everyone is chasing the conventional model. Smart capital is chasing the infrastructure underneath it. Don't chase the wrong dog. A breakdown of the 7 tiers of AI economics and where serious investors should be paying attention. There is a version of the AI investment story that gets told constantly. It involves foundation models, large language interfaces, AI-native apps, and the race to build the next Chatgpt. It's the wrong chase. Most AI startups being built right now wi

Why this cycle is different, why white-collar work is exposed, and where real opportunity still exists There is a tendency in every major technology shift to assume the noise is exaggerated. People say the headlines are overheated, the fear is temporary, and the market will eventually settle back into something familiar. That is not what this moment feels like. What is happening in AI looks much more like a structural reset—one that is changing how work is performed, how comp

For decades, growth was defined by distribution. Companies manufactured products, sold them externally, reinvested profits, and repeated the cycle. Capital leaked outward at every step—through suppliers, vendors, energy providers, and infrastructure operators. That model is quietly being replaced. Today’s most dominant technology players are building something far more powerful: Closed-loop ecosystems that internally consume the very infrastructure they produce. From Vertical

Innovation in capital markets rarely comes from novelty alone. More often, it comes from reassessment — from asking sharper questions about assets that already exist. Not what was this built to do, but what else can this support? A recent infrastructure project in Switzerland offers a useful illustration. At a decommissioned satellite teleport in the Alps, massive satellite dishes — once critical to global communications — are being repurposed as solar-tracking energy systems

The idea of data centers in space has officially escaped the realm of speculation. At the World Economic Forum in Davos, global leaders framed orbital computing not as science fiction, but as a structural response to the most pressing constraint facing artificial intelligence today: Earth itself. Power shortages, cooling limits, land scarcity, permitting delays, and carbon pressure are colliding just as AI demand is accelerating beyond anything existing infrastructure was des

At the recent World Economic Forum in Davos, a reality long understood by infrastructure operators was stated plainly on the global stage. As articulated by Elon Musk, the limiting factor for artificial intelligence is no longer compute availability. It is power. That observation marks an inflection point—not because it is new, but because it has now entered the mainstream narrative. For those building at scale, this constraint has been visible for years. The Shift from Compu