This ‘Boring' Fund Owns The Hottest AI Firm On Earth, Yields 8.3%

Anthropic reported $30 billion in annualized revenue on April 6, more than 200% above last year, reinforcing the article’s view that AI is generating real commercial demand rather than acting as a bubble. The piece highlights BlackRock Science and Technology Term Trust (BSTZ) as a way to access Anthropic and other AI beneficiaries while collecting an 8.3% dividend and buying at an 11% discount to NAV. It also points to AI spillover opportunities in NVIDIA, Micron, Western Digital, and even retail use cases such as Ralph Lauren’s AI shopping assistant.

Analysis

The key takeaway is not that AI demand exists, but that the monetization curve is now steep enough to pull forward second-order beneficiaries. The market is still pricing AI mostly as a silicon story, yet the revenue proof-point from a leading model provider increases the probability that spending broadens into memory, storage, networking, and eventually software workflows that sit one layer down the stack. That shift matters because the next leg of alpha is likely to come from bottlenecks where incremental AI usage forces real capex, not from names already capitalized for perfection.

Within that framing, NVDA remains the quality anchor, but the asymmetric setup is likely better in MU and WDC over the next 6-18 months. If AI workloads keep expanding, memory and data storage should benefit from both higher unit demand and richer mix, while the equity market still tends to underwrite them as cyclical commodity-ish businesses. The risk is timing: the fundamental inflection can show up in bookings and pricing power well before consensus models catch up, leaving room for multiple expansion if inventory stays disciplined.

The bigger contrarian point is that private-market AI exposure inside closed-end funds may be more useful for sentiment than for immediate P&L, because the public market will eventually re-rate the enables rather than the venture names. The fund discount is a capital-return catalyst, but the real edge is that the AI adoption bottleneck is likely to persist for years as enterprises integrate workflows, governance, and data plumbing. That argues for a multi-quarter stance, not a one-week momentum chase; the main reversal risk is a capex air pocket or a broader risk-off move that compresses long-duration growth multiples before earnings catch up.

Key Decisions for Investors

• Add MU on weakness for a 6-12 month trade: target a re-rating as AI memory demand tightens supply, with upside from mix and pricing; stop if enterprise capex rolls over or DRAM/NAND commentary turns inventory-bearish.
• Initiate a smaller tactical long WDC versus NVDA pair over 3-9 months: long the underappreciated storage beneficiary, short a portion of the most consensus-owned AI winner to reduce factor risk; thesis works if AI storage demand outpaces multiple expansion in the leader.
• Maintain core long NVDA, but hedge with a call spread or trimmed exposure into strength: the stock remains structurally right, yet crowded positioning makes it vulnerable to any 1-2 quarter digestion phase.
• Buy BSTZ only as a capital-efficient wrapper if the discount stays near double digits; treat it as an income-plus-venture-exposure vehicle, not a pure AI beta instrument, and expect NAV realization to lag public AI leaders.
• Use a basket trade long MU/WDC/NVDA versus short an equal-weight basket of slower-growth consumer names with emerging AI initiatives, on a 6-12 month horizon; the market is likely to overvalue AI adoption stories before monetization, creating dispersion.