Three Round Numbers and a Memorial Day Airstrike

Key Takeaways

• Webinar June 1, 2 p.m. ET on “Heavy Assets, Low Obsolescence” (HALO) lens
• HALO screens mines, railroads, energy, utilities—assets resistant to AI churn
• AI capex expected to shift from compute to physical infrastructure
• Russell 2000 rose 4.6% as 10‑yr yield fell 20 bps
• Brent jumped to $99.6 after U.S. airstrikes in Strait of Hormuz

Pulse Analysis

The HALO (Heavy Assets, Low Obsolescence) concept reframes AI‑driven investing by focusing on the physical backbone that enables machine‑learning workloads. While most analysts chase the six headline AI stocks, Matt Tuttle argues that the next wave of capital will target the steel‑and‑concrete infrastructure—mines, rail networks, power utilities and energy pipelines—that underpins data‑center expansion. By filtering for assets with long useful lives and low susceptibility to rapid software disruption, investors can capture secular demand without the volatility of pure‑play AI equities.

Recent market moves illustrate why this perspective matters. The Dow reclaimed the 50,000 mark, yet it was the Russell 2000 that posted a 4.6% two‑week gain, driven by a 20‑basis‑point retreat in the 10‑year Treasury yield. That rate relief disproportionately benefits small‑cap firms, many of which carry floating‑rate debt. Simultaneously, geopolitical tension—U.S. airstrikes in the Strait of Hormuz—propelled Brent crude to $99.6, reminding investors that energy‑linked heavy assets can act as inflation hedges when traditional risk assets wobble.

On the corporate front, Nvidia’s record $81.6 billion revenue quarter underscores the explosive growth of AI compute, yet the stock slipped 1.8% on the back of profit‑taking. Coupled with the appointment of Federal Reserve Chair Kevin Warsh, who signals a more hawkish stance, the macro environment suggests a pivot away from pure‑play tech toward sectors with tangible, low‑obsolescence fundamentals. Advisors who integrate the HALO lens can position portfolios to capture the upside of AI‑related infrastructure spending while mitigating exposure to the cyclical swings of high‑growth software names.