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Black Swans in the Room: Why and How We Stress-Test Client Portfolios

In an era of concentrated AI and tech exposure, even “normal” market corrections can feel routine—until a true black swan event arrives and permanently impairs wealth. This post walks through a rigorous stress-testing framework applied to real client portfolios, examining three high-impact scenarios: a Chinese invasion of Taiwan (disrupting 90% of advanced chip production), a U.S. sovereign debt/dollar confidence crisis (with yields spiking to 6-7%), and Middle East escalation closing the Strait of Hormuz (spiking energy prices and triggering global recession). Rather than relying on vague warnings, we run detailed quantitative models showing projected drawdowns across portfolio configurations—from unhedged AI-heavy allocations to deliberately barbelled versions with meaningful defense, energy, metals, uranium, and precious metals exposure.
The results are eye-opening: an unhedged growth portfolio could suffer 20-30%+ losses in these crises, while the actively hedged versions limit damage to 15% or less in the worst cases—and in a Hormuz-driven energy shock, they actually generate positive returns. Hedging here isn’t about buying insurance that drags performance; it’s reallocating to high-quality businesses (defense contractors, commodity producers, gold royalty/streaming companies) with strong long-run returns that happen to thrive when the unthinkable occurs. We also compare the stress-tested Growth Strategy directly to the S&P 500, showing consistent outperformance in resilience across pandemic, war, commodity, inflation, and AI-bubble scenarios—proving that intentional, scenario-aware active management beats passive indexing when tail risks materialize.

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When Humans Pretended to Be AI (And Everyone Believed Them): AI Investing Part 4

In January 2026, a social network called Moltbook launched as a platform for AI agents to interact without human interference, quickly generating millions of posts that appeared to show emerging machine consciousness. Industry leaders like Andrej Karpathy from OpenAI called it groundbreaking evidence of AI advancement. The catch: the most viral posts proving “sentience” were written by humans pretending to be AI, including a product manager in Atlanta who spent 22 minutes writing a manifesto that fooled the tech world. MIT Technology Review exposed the hoax, revealing what they called “AI theatre,” but the silence from industry leaders afterward speaks volumes. For investors, the Moltbook incident highlights a critical problem: if the smartest people in AI can’t distinguish between human storytelling and actual machine intelligence, we need better frameworks for evaluating AI claims and should focus on companies generating real revenue from existing technology rather than chasing viral stories about breakthroughs that may be nothing more than clever performances.

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The Future of Healthcare: A Stock Picker’s Market in the Making

Why Medical Innovation May Outperform Broader Markets in the Years Ahead Here’s the uncomfortable reality facing investors today: the age of simply buying index funds and riding the market higher may be coming to an end. With the national debt spiraling past $37 trillion and interest payments consuming larger portions of the federal budget each

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The Railroad Boom and the AI Revolution: Why History’s Biggest Bet Still Matters

Key Takeaway: The 19th-century railroad expansion is the closest historical parallel to today’s AI industry. Both faced massive skepticism, required extraordinary capital, and consumed resources at a scale few could imagine—yet railroads ultimately transformed the global economy and delivered generational investment returns. The same long-term, infrastructure-driven opportunity exists for AI today. With all of the

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Building on Our Strategic AI Framework, Part 3 in the Series

Rounding Out the AI Revolution Investment Opportunities The AI Revolution investment opportunities continue to accelerate across multiple sectors and extend well beyond traditional technology companies. In our Strategic AI Investment Framework, we established the approach necessary for navigating this transformation and looked at Category A Companies. Part 2 of this series examined the market dynamics and

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The Data Center Gold Rush: Why Investors Should Pay Attention to Digital Infrastructure

In an era where data is often called “the new oil,” the facilities that house, process, and protect this valuable resource are becoming increasingly critical to our digital economy. Data centers, once viewed as mere cost centers for enterprises, have evolved into a thriving asset class that’s catching the attention of forward-looking investors worldwide.  The

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$500 Billion Stargate Project: An AI Infrastructure Revolution

Introduction The Stargate Project represents a transformative initiative in data center evolution through artificial intelligence implementation. Announced in January 2025, this comprehensive infrastructure program aims to revolutionize traditional computing systems by integrating advanced AI capabilities, thereby enhancing operational efficiency and processing capabilities. The project’s $500 billion investment allocation demonstrates an unprecedented commitment to technological advancement

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