This 7.8% Dividend Is A Top Contrarian Play On The Software Crash

The article argues that AI-related fears are overdone and cites evidence of rising AI-driven job creation, while software stocks remain depressed. BlackRock Science and Technology Term Trust (BSTZ) is highlighted as a 7.8%-yielding CEF with a 9.3% discount to NAV despite a 21% year-to-date total return, suggesting additional upside if the discount narrows. The fund’s monthly income and exposure to private AI names such as Databricks and Anthropic are presented as the key investment case.

Analysis

The market is pricing the software group as if AI is an existential demand destroyer, but the more important second-order effect is that AI adoption raises the spend intensity of the ecosystem. When usage expands, the winners are not just model providers; it also pulls through incremental demand for compute, data infrastructure, integrations, and the software layers that make AI usable in production. NVDA remains the cleanest high-beta expression of that spend cycle, but the more underappreciated part is that enterprise software tends to re-rate first on improving bookings visibility before the labor-market data fully confirms the thesis.

The setup in BSTZ is attractive because the fund combines exposure to both public and private AI assets with a valuation overlay that has not caught up to the underlying performance. A discount that persists after strong NAV returns usually means either forced selling or investor disbelief; in this case, it looks more like disbelief, which can persist until the next distribution or NAV update acts as a catalyst. The discount closure trade is therefore not mainly about more upside in tech; it is about mean reversion in a vehicle where the market has not yet fully acknowledged the quality of the mark.

The biggest near-term risk is not AI adoption slowing, but a rates shock that compresses long-duration tech multiples again. If inflation expectations re-accelerate, the names with the most venture/private exposure will likely move first and hardest, because they are effectively levered to both liquidity and sentiment. That creates a cleaner entry if BSTZ and IGV sell off on macro noise rather than fundamentals: the first move down would be technical, but the second move up could be driven by discount narrowing and renewed inflows.

Consensus is still treating this as a binary job-killing narrative, which misses that AI can simultaneously improve productivity and expand headcount in adjacent functions. The more important implication is that software vendors with direct AI monetization, or those supplying the picks-and-shovels around deployment, may see demand surprise to the upside even if headline software sentiment remains weak. This is a classic mismatch between narrative and operating data, and those dislocations tend to resolve over weeks to months, not years.

Key Decisions for Investors

• Buy BSTZ on any 3-5% pullback over the next 1-2 weeks; target a 9.3% discount-to-NAV narrowing to ~5-6%, implying high single-digit total return plus a 7.8% cash yield.
• Add NVDA on weakness as the highest-quality liquid proxy for AI capex durability; use a 1-3 month horizon and expect outsized upside if software sentiment rotates back toward AI beneficiaries.
• Pair long BSTZ / short IGV for a 1-2 quarter relative-value trade: express the view that discounted closed-end fund pricing will normalize faster than the ETF re-rates, with downside limited by BSTZ income support.
• Use call spreads rather than outright longs in high-duration software names if rates remain the key macro risk; prefer 3-6 month maturities to let the sentiment/flows trade work.
• If BSTZ’s discount does not tighten after the next distribution cycle, reduce exposure by 25-30% and reassess—failure to close the gap would signal the market still distrusts private-mark valuations.