📍 The intelligence economy isn't built in code. It's built in concrete, copper, and kilowatts. ⸻ TL;DR ▪️ Hyperscalers are on track to spend ~$690B on AI infrastructure in 2026 — nearly doubling 2025 levels. ▪️ Power availability has replaced talent as the primary constraint on AI deployment. ▪️ 88% of companies use AI. Only 39% report measurable EBIT impact — and just 6% call it significant. ▪️ Infrastructure deficits don't slow AI adoption. They redirect capital toward whoever can solve them. ▪️ Founders and investors who treat compute as a strategic input — not a cost center — are building differently. ⸻ Hey Builders! Yesterday, we traced oil from a narrow strait in the Persian Gulf to your grocery bill. Today, we trace electricity from an aging power grid to the companies that will define the next decade. The logic is the same. The chokepoints have just moved. The global AI infrastructure buildout is underway at a scale that has no modern precedent. The five largest U.S. cloud and AI providers — Microsoft, Alphabet, Amazon, Meta, and Oracle — have collectively committed somewhere between $650–700 billion in capital expenditure for 2026 alone — up roughly 36–50% over 2025 levels. That's not forecast. That's guidance. Jensen Huang has estimated $3–4 trillion will flow into AI infrastructure by the end of the decade. But here's what those numbers obscure: Capital commitments don't equal capacity. And capacity doesn't equal returns. The bottleneck right now isn't intelligence. It's power. ⸻ 🗞 Top Story — The Grid Problem Wall Street Is Already Pricing Modern AI workloads don't run on ordinary electricity. Traditional data center racks drew 5–15 kilowatts. Today's GPU-based AI racks exceed 100 kilowatts each — with higher densities on the horizon. U.S. data center power demand could climb from 4 GW in 2024 to 123 GW by 2035. Morgan Stanley estimates a 49 GW shortfall in available power access by 2028. The U.S. power grid — much of it built decades ago — was not designed for this. This creates a transmission chain that mirrors what we saw with oil yesterday: AI demand → Power grid stress → Data center location premiums → Infrastructure CapEx → Utility investment → Energy prices → Operating margins. Not immediately. But structurally. Companies that can secure reliable, affordable power — near nuclear plants, hydroelectric sources, or via on-site generation — are gaining a durable competitive edge that no software update can replicate. Meta's decision to build the world's largest data center in Louisiana — a $10B, 2,250-acre campus powered by three new natural gas plants built by Entergy, with renewable energy matching — isn't a real estate story. It's a power strategy. On the demand side, the picture is equally instructive. 88% of companies now report using AI in at least one business function. But only 39% report measurable EBIT impact — and just 6% describe that impact as significant. (McKinsey, State of AI 2025) That gap is not closing on its own. It closes when infrastructure catches up, integration deepens, and organizations move from AI experimentation to AI operations. The companies that close it first will compound. The ones that don't will fall behind faster than they expect. ⸻ 🧱 Builder Insight — Three Structural Realities 1️⃣ Power is the new moat. Access to reliable, cost-stable electricity is becoming a competitive differentiator for every AI-native business — from hyperscale data centers to inference workloads at the edge. This favors geography, strategic relationships, and early infrastructure commitments over optimization alone. 2️⃣ Adoption is not the same as integration. 88% of companies use AI. 39% are moving the needle. That gap is an opportunity — not a flaw. Builders who help close it through operational AI, deep workflow integration, and measurable ROI tooling are positioned in the most durable part of the stack. 3️⃣ Capital follows infrastructure before it follows innovation. The $690B CapEx cycle is creating a cascading investment pattern — utilities, cooling systems, fiber, transformers, and construction all trail the data center build. Knowing where capital flows next is more valuable than knowing where it sits today. ⸻ 📈 Forward Scenario — What to Watch If the infrastructure buildout sustains momentum: • Power and utility companies command infrastructure valuations — not utility multiples • AI-adjacent hardware, cooling, and grid modernization companies see sustained demand • The 39% of companies seeing real AI ROI climbs toward 60%+ — triggering the next wave of enterprise adoption • Founders who built AI-native workflows early hold compounding advantages that latecomers cannot easily replicate If capital pulls back or power constraints force delays: • Data center development timelines extend — creating regional pricing dislocations • Hyperscaler CapEx guidance gets revised down, triggering broader tech multiple compression • AI adoption stalls at the pilot layer, pushing enterprise ROI timelines further out In this environment, the question isn't whether AI will reshape the economy. It already is. The question is who captures the structural advantage before the margin of differentiation closes. ⸻ 💬 Quote of the Day "Show me the incentive and I'll show you the outcome." — Charlie Munger ⸻ 🎬 Closing Thought — Intelligence Has a Power Bill The most transformative economic shifts in history weren't software stories. They were infrastructure stories. The railroad didn't just move goods. It reorganized where towns were built, how capital was deployed, and which industries survived. The electrical grid didn't just power factories. It rewired the entire logic of production, labor, and commerce. AI is not different. The intelligence layer is becoming load-bearing infrastructure — like power, water, and transportation before it. And infrastructure, once built, defines the economic geography of everything above it. The companies that understand this aren't chasing the model. They're securing the land it runs on. Energy corridors moved oil yesterday. Power grids and compute clusters move intelligence today. The chokepoints have changed. The logic hasn't. Position accordingly. ⸻ ⚡️ OHUBNext Daily Brief — investments, edge tech, and moves that matter. For 12+ years, OHUB has been building pathways and on-ramps to multi-generational wealth — without reliance on pre-existing wealth. Through exposure, skills, entrepreneurship, capital markets, and inclusive ecosystems, we've helped people create new jobs, new companies, and new wealth.