Companies with real assets is where we're finding opportunity: Ariel Investments' Charles Bobrinskoy

Charles notes that despite the AI hype, the "biggest source of energy in the US... is natural gas." He highlights that the energy sector has been out of favor and trades at roughly 7x earnings. AI is fundamentally an energy arbitrage trade. You cannot have data centers without electricity, and you cannot scale electricity rapidly without Natural Gas. Therefore, "Old Economy" energy stocks are the hidden infrastructure play for the "New Economy" AI boom. LONG. Deep value (low P/E) combined with secular demand growth from tech. Regulatory shifts against fossil fuels; volatility in commodity prices.

Charles states that in an AI world where digital content is easily faked, "people still want to go watch basketball" and see live events. MSGS (Knicks/Rangers) trades significantly below the private market value of its franchises. SPHR is successfully monetizing unique IP (U2, Eagles, etc.) in a way that cannot be replicated on a screen. The "Second-Order Effect" of AI is a premium on authenticity. As digital content becomes commoditized and suspect, the scarcity value of physical, in-person experiences (Hard Assets) skyrockets. LONG. These are "irreplaceable" assets in midtown Manhattan that provide a hedge against digital disruption. Consumer spending slowdown affecting ticket sales; execution risk on the corporate split of MSG assets.

The speaker discusses "hard companies" like Phinia (powertrain/turbochargers) and the Honeywell thermostat spin-off (Resideo). He notes Phinia trades at ~13x earnings and benefits because the transition to full EVs is slower than expected, keeping hybrids and ICE vehicles relevant. The market priced these legacy industrial spin-offs as if their terminal value was zero due to the EV transition. As the EV timeline extends, these cash-generative "boring" businesses re-rate higher because their runway is longer than the market anticipated. LONG. "Hard economy" value plays with low expectations. Accelerated adoption of full EVs rendering ICE technologies obsolete faster than predicted.

Charles invokes Warren Buffett's "Too Hard" pile regarding memory chips. He cites the historical example of Intel vs. Nvidia, noting that in 2005, everyone thought Intel was the winner, yet they missed the GPU shift. The semiconductor industry is highly cyclical and prone to rapid technological obsolescence. It is difficult to analyze the "economic moat" in memory compared to physical assets like sports teams or energy reserves. AVOID. Stick to businesses where the competitive advantage is measurable and sustainable. Missing out on a cyclical upswing in memory pricing (FOMO).