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Quarter	Letter Date	Fund Name	QTD	YTD	Tickers	Themes	Quick Take

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BlackRock Science And Technology Term Trust 2026 Q3 Investor Letter | Buyside Digest

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Primary Source Intelligence • Q3 2026 Letter Analysis

BlackRock Science And Technology Term Trust Quarterly Analysis

Buyside Digest is not affiliated with, and does not endorse, BlackRock Science And Technology Term Trust. This analysis is provided for institutional research purposes only and is not investment advice.

Fund Returns

QTD-0.3%

Annualized+17.8%

Positioning StanceCONSTRUCTIVE

Market CapLarge Cap

GeographyUS, Asia, Other

Digest Analysis

Quick Take

"Artificial intelligence markets are transitioning from initial infrastructure buildout into accelerated deployment, shifting competitive differentiation toward application software while structural tailwinds continue supporting foundational semiconductor and hardware leaders."

Executive Summary

BlackRock Science and Technology Term Trust (BSTZ) recorded a net asset value total return of -0.3% net of fees for the third quarter of 2026, while its market price gained 4.8% and its benchmark, the MSCI ACWI SMID Growth IT Index, declined -7.5%. Over the trailing one-year period, the Trust generated a net NAV return of 53.7% net of fees, outpacing the benchmark's 42.5%. Portfolio exposures as of quarter-end were tilted toward large-cap equities (55.2%) and private investments (41.8%), with software representing the largest industry allocation at 34.3%, followed by semiconductors at 28.2% and hardware at 25.5%. Management's macroeconomic and sector outlook emphasizes that the artificial intelligence landscape is progressing beyond initial infrastructure builds toward accelerated enterprise deployment. While advanced semiconductors, compute, and foundation models remain essential and supported by unprecedented capital expenditure, competitive differentiation and value creation are increasingly concentrating at the application and software layers. Secular tailwinds continue to favor market leaders possessing wide competitive moats and clear monetization pathways. High-conviction allocations remain heavily centered in both private and publicly listed AI pillars. The Trust's largest holding is private software enterprise Databricks at 17.7% of net assets, followed by Anthropic at 5.8% and PsiQuantum at 5.4%. Among public market holdings, top allocations include Micron Technology (4.3%), Nvidia (4.2%), and Lumentum (4.2%). No new private investments were initiated during the third quarter.

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Institutional Meta Strategy

Meta Strategy Gauges

Algorithmic conviction, macroeconomic posture, and risk appetite signals extracted from this quarterly letter with qualitative explanations.

Signal Matrix

Market Conviction

65%

CautiousHigh

Moderate (65%)

Concentration is strong at the top of the portfolio with Databricks representing 17.7% of net assets, alongside notable exposures in Anthropic and PsiQuantum. However, the portfolio overall is distributed across 20 distinct private investments and dozens of public holdings without individual stock-by-stock thesis dissections.

Growth Outlook

75%

BearishBullish

Bullish (75%)

Management sees accelerating deployment tailwinds and structural competitive advantages in AI leaders whose valuations do not yet fully reflect multi-year earnings potential. Market volatility is viewed constructively as an opportunity for active security selection.

Risk Appetite

75%

DefensiveAggressive

Aggressive (75%)

The portfolio remains heavily oriented toward high-beta growth equities and private tech ventures, with illiquid private assets accounting for 41.8% of net assets. Capital is tilted toward equity growth and hardware enablement rather than defensive buffers.

Capital Deployment

55%

De-riskingDeploying

Net Neutral (55%)

The Trust is actively shifting weight toward application and hardware plays, though no new private investments were initiated during the quarter, indicating a balanced pace of net deployment.

Forward Guidance

75%

CautiousExpansionary

Expansionary (75%)

The management team explicitly highlights an ongoing selective increase in exposure to companies demonstrating clear AI monetization and competitive moats across hardware, infrastructure, and enabling tech.

Language Signal

80%

BearishBullish

Bullish (80%)

Commentary heavily features bullish terminology including structural tailwinds, competitive moats, monetization advantages, unprecedented investment, and improving earnings visibility. Cautious language is minimal and largely limited to standard regulatory risk disclosures.

Perceived Risk

35%

Low RiskElevated

Moderate Risk (35%)

Operational risks center on periodic equity volatility and the transition from pilot experimentation to enterprise deployment, with broader market risk considered secondary to secular technology adoption.

Opportunity Density

70%

ScarceAbundant

Abundant (70%)

Opportunities are deemed attractive and expanding across the technology spectrum as AI deployment migrates from early hardware layers into application software and foundational infrastructure.

Time Horizon

80%

Short-TermLong-Term

Decade+ (80%)

Investment framing emphasizes multi-year structural growth trajectories, multi-stage AI deployment horizons, and patient private equity holdings that compound across market cycles.