The Physical Side of the AI Boom

Summary

Chad Larson frames this episode around a complex market backdrop where a K-shaped economy, record equity concentration, tariff uncertainty, Middle East energy risk, and AI infrastructure spending are all operating at once. He argues that broad index exposure looks vulnerable at current valuations, but the physical infrastructure behind AI, real assets, alternatives, and disciplined cash management remain compelling long-term opportunities.

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Highlights

• MLD recognition noted: Chad highlights Wealth Professional award recognition and the MLD Core Fund’s top ranking across major rolling periods.
• K-shaped economy is real: Higher-income households and enterprise spending remain strong, while lower-income consumers face pressure from energy costs, debt, and delinquencies.
• Market is not equally weighted: Corporate earnings are more tied to upper-income spending, institutional capital, and AI infrastructure than to the average household.
• US equity concentration is a major risk: American households now hold a historically high share of financial assets in equities.
• Valuations are stretched: The Buffett Indicator is cited at roughly 227% of GDP, suggesting markets are priced for a lot of good news.
• Cash is framed as optionality: MLD Core holds over 15% cash, not out of fear, but to deploy into better-priced opportunities.
• Tariff noise remains important: Trump-era tariff volatility is discussed as a market risk, but also as something markets have partially processed.
• Middle East risk affects energy and international exposure: Oil near $100+ creates a headwind for energy importers like Japan.
• “Super Wednesday” validates AI infrastructure: Hyperscaler earnings showed rising AI capex, accelerating cloud revenues, and massive backlog growth.
• AI capex is physical: Spending flows into chips, power, utilities, gas infrastructure, cooling, data centres, copper, and grid assets.
• Nvidia faces custom-chip pressure: Google and Amazon custom silicon may challenge Nvidia’s margins, while TSMC benefits regardless of who wins.
• MLD Alpha AI thesis reinforced: The portfolio is built around AI compute, power and utilities, natural gas infrastructure, and critical minerals.

Key Insights

The economy is split, but the market is following where capital and earnings are strongest.
The K-shaped economy is not dismissed. Lower-income households are under real pressure, but Chad argues that market leadership is being driven by upper-income consumption, enterprise spending, institutional capital, and AI infrastructure buildout. That means the market can remain supported even while many households feel squeezed.

AI has moved from narrative to capital-spending super cycle.
The episode’s core investment point is that AI is no longer just a software story. Hyperscaler capex, cloud backlog, custom silicon, power demand, and data centre expansion all point to a physical infrastructure boom. The thesis is that the real beneficiaries are not only AI applications, but the companies supplying compute, electricity, gas, cooling, copper, and fabrication capacity.

Discipline matters because the opportunity and the risk are both real.
Chad is bullish on AI infrastructure and real assets, but cautious on broad US equity valuations. Record household equity exposure, high valuation metrics, geopolitical stress, and tariff uncertainty justify holding cash. The strategy is not to abandon markets, but to be selective, thematic, and ready to deploy capital when volatility creates better entry points.

Conclusion

This episode presents a nuanced market thesis: the broad US index may be expensive and crowded, but the AI infrastructure cycle is strengthening and becoming more measurable through earnings, backlog, and capex guidance. MLD’s positioning emphasizes cash optionality, real assets, alternatives, international patience, and the physical layer of AI, with the practical message being to stay disciplined, avoid chasing, and “don’t cut your flowers.”

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