Most investors think they're diversified. They're not. They're massively concentrated in seven companies betting AI scales infinitely without hitting physical limits.
The Magnificent Seven are a third of the S&P 500. Your index fund became a leveraged bet on AI infrastructure executing perfectly for the next decade. Most people will either miss the opportunity entirely or get destroyed when the $100B+ capex cycle hits reality. Power constraints, enterprise ROI disappointment, supply chain breakdowns, or just the math stopping working.
I investigate AI infrastructure dependencies. Tracing where the announcements don't match the permit filings. Finding which limits redirect capital and which ones just kill momentum. Translating physical constraints into competitive dynamics.
The work focuses on what AI physically requires to scale. Power infrastructure, semiconductor bottlenecks, interconnection queues, capex sustainability. I spend days tracking the unglamorous data points that matter more than the headlines. Then I explain what it means for how capital moves.
Scenario analysis with the math. Specific mechanisms connecting physics to portfolio logic. What to watch next. Always showing the research behind the conclusions. No stock picks, no market timing, no daily commentary. I'm honest when uncertainty exists.
Built for self-directed investors managing serious capital who understand the most dangerous moments look completely calm until they don't. People who want frameworks, not predictions.
I'm anonymous because the analysis stands alone. Identity adds noise. Publishing institutional-grade research without employer conflicts, performance pressure, or the constraints that come with managing money publicly. The incentive is research quality, not performance theater.
