447 Niching Down on Weird Data with AI Solves Ice Cream, Movies, and Power Bottlenecks | The Pirate Street Journal

We are living through a fundamental shift in how businesses operate, compete, and create value. The Pirate Street Journal, hosted by Christopher, Eddie, and Bri, breaks down three major business stories through the category design lens, revealing a common thread that most mainstream business coverage misses entirely. That thread is AI data, and how the companies and individuals who understand it best are quietly rewriting the rules of entire industries. From energy infrastructure to ice cream shops to management consulting, the signal is clear and growing louder. This is just one of the topics that Pirates Christopher Lochhead, Eddie Yoon and Bri Clark discuss on this episode of Pirate Street Journal. Each week, the Category Pirates pick three headlines worth paying attention to and break down the category underneath. You’re listening to Christopher Lochhead: Follow Your Different. We are the real dialogue podcast for people with a different mind. So get your mind in a different place, and hey ho, let’s go.   Portable Power and the AI Energy Race China now controls 90% of the world’s battery storage cells, and the top ten storage cell manufacturers on Earth are all Chinese. The easy read on this is that the centralized, top-down model has already won. But the more interesting story is happening on the other side of the equation, where pioneers are refusing to wait for governments to build grids and are instead making power portable, distributed, and locally owned. Elon Musk quietly acquired a mobile power company capable of deploying a functional power plant in 30 days and driving it wherever demand exists. Tesla is simultaneously selling Mega Packs to cities experiencing brownouts while offering Powerwalls to individual homeowners. The insight here is that AI data is driving the need for entirely new power infrastructure, and the winners will not necessarily be the nations with the biggest grids. They will be the builders who understand that decentralized, distributed power networks can outmaneuver any centralized system when speed and flexibility matter most. Eddie raises the concept of a “Mega Pod,” a combination of batteries and GPUs in a scalable unit that could allow businesses, farms, and institutions with unused land to generate power, offset costs, and participate in a distributed data center economy. This is AI data infrastructure being rebuilt from the bottom up, and the annuity potential mirrors what Alaskan citizens receive from oil revenues every year.   Niche Down AI Data and the Rise of the Small Company Ben Affleck sold a stealth AI startup called Inner Positive to Netflix for $587 million. The company trained small models on individual film footage, replicating a director’s lighting style and visual language to accelerate post-production. An ice cream shop in downtown Los Angeles used prediction markets to hedge against cold weather, covering nearly half its monthly rent. A seven-person software company hit $10 million in revenue doing the work that once required 50 employees. These three stories appear unrelated on the surface, but they share a single strategic insight. Each one identified a narrow, specific type of AI data that nobody else was paying attention to and built an economic advantage around it. The Ben Affleck startup did not steal from other artists. It used a creator’s own footage as training data, producing tools that serve the creator rather than extract from them. The ice cream shop owner recognized that temperature data was weakness data for his business and converted it into a revenue stream through smart financial instruments. What AI is doing for smaller operators and independent entrepreneurs is lowering the barriers to prosecuting what Christopher Lochhead calls the magic triangle, building a legendary company, product, and category simultaneously. The surplus economics of AI are not accruing only to OpenAI, Anthropic, or the Mag Seven. They are flowing toward anyone willing to identify the weird data specific to their own situation and build something original with it.   Consulting and the Death of the Billable Hour McKinsey now ties 25% of its global fees to outcomes rather than hours. Bain reports that 30% of its business is AI and tech enabled, with ambitions to reach 50%. BCG expects AI work to jump from roughly 20% of revenue to 40% within a year. These are not small firms experimenting at the margins. These are the most conservative, hour-worshipping institutions in the professional services world, and they are cracking under the pressure of a new reality driven by AI data and what it makes possible. The billable hour was always a proxy for value, not a measure of it. What consulting firms are beginning to acknowledge is that AI data and the tools built around it