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Quarter	Letter Date	Fund Name	QTD	YTD	Tickers	Themes	Quick Take

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Sands Capital Technology Innovators Fund 2026 Q2 Investor Letter | Buyside Digest

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Primary Source Intelligence • Q2 2026 Letter Analysis

Sands Capital Technology Innovators Fund Quarterly Analysis

Buyside Digest is not affiliated with, and does not endorse, Sands Capital Technology Innovators Fund. This analysis is provided for institutional research purposes only and is not investment advice.

Fund Returns

QTD+26.9%

YTD+7.8%

Annualized+18.1%

Positioning StanceNEUTRAL

Market CapLarge Cap

Digest Analysis

Quick Take

"Sands Capital Technology Innovators is positioned for the AI infrastructure buildout through concentrated exposure to semiconductor manufacturing, memory, and AI chips. The emergence of agentic AI is driving persistent demand for compute, memory, and storage."

Executive Summary

Sands Capital Technology Innovators delivered a 26.9 percent net return in Q2 2026, underperforming its benchmark by 4.2 percentage points as leadership broadened across the semiconductor sector beyond the fund's concentrated mega-cap AI chip positions. The fund's core thesis centers on the AI infrastructure buildout, with the emergence of agentic AI creating another demand shock for compute, memory, storage, and power. The portfolio is positioned across key bottlenecks including Taiwan Semiconductor, SK hynix, NVIDIA, and Seagate Technology, which were top contributors. The manager added positions in AMD, Arm, Intel, Cerebras, SanDisk, SpaceX, and TTM Technologies to broaden exposure across CPUs, inference, memory, and circuit boards. Consumer internet exposure was reduced through exits of DoorDash, Netflix, Coupang, and Roblox to redeploy capital toward higher-conviction AI infrastructure opportunities. The manager expects persistent constraints in compute capacity to sustain the infrastructure buildout, though monitors risks including open-source model competition, token optimization, and architectural breakthroughs. Recent strength has been tied to earnings growth, improving pricing, and supply-demand constraints in critical areas of the AI stack.

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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

78%

CautiousHigh

High Conviction (78%)

The portfolio holds 33 positions with the top ten representing 59 percent of assets, indicating high concentration. The manager names specific positions, sizes them, and explains clear theses for holdings like Taiwan Semiconductor, SK hynix, NVIDIA, and Seagate Technology. The manager uses strong language about specific bottlenecks in the AI infrastructure stack and is willing to add seven new positions in a single quarter to increase exposure. However, the portfolio is not as concentrated as the most extreme conviction funds (5-10 positions), and some hedging language exists around monitoring risks and expecting volatility. The explanation and score are consistent with a high-conviction but not extreme-conviction approach.

Growth Outlook

65%

BearishBullish

Bullish (65%)

The manager expresses a constructive view on AI infrastructure markets, describing robust demand for compute capacity with few signs of slowing, and large technology companies continuing to signal robust capital investment. The manager believes the proliferation of agentic AI workflows will drive persistent constraints in compute capacity. However, the manager acknowledges risks including competition from lower-cost models, token optimization, and potential architectural breakthroughs, preventing a more bullish score.

Risk Appetite

70%

DefensiveAggressive

Balanced (70%)

The portfolio is aggressively positioned with concentrated exposure to AI infrastructure bottlenecks, adding seven new positions in CPUs, inference, memory, and circuit boards during the quarter. The manager is actively deploying capital into areas where demand is growing rapidly and supply cannot respond quickly. Cash is minimal at 0.6 percent. The manager is taking meaningful risk by concentrating in specific bottlenecks rather than diversifying broadly, indicating a risk-on posture.

Capital Deployment

65%

De-riskingDeploying

Net Neutral (65%)

The manager added seven new positions during the quarter (AMD, Arm, Cerebras, Intel, SanDisk, SpaceX, TTM Technologies) while exiting six positions (DoorDash, Coupang, Figma, Netflix, Roblox, Visa), indicating active capital rotation and deployment. Cash remains minimal at 0.6 percent. While specific cash level changes are not disclosed, the addition of seven new positions funded by exits and trims suggests moderate to aggressive deployment activity. This is capital rotation with a net deployment bias, as the manager is actively putting capital to work in new AI infrastructure opportunities.

Forward Guidance

55%

CautiousExpansionary

Neutral (55%)

The manager is selectively adding to AI infrastructure positions and has clear conviction in specific bottlenecks, but also acknowledges the need to monitor developments that could change the outlook. The manager expects periods of digestion and volatility, suggesting a measured rather than aggressive deployment bias going forward. The manager maintains conviction in compressed valuations but is not signaling imminent large-scale deployment.

Language Signal

60%

BearishBullish

Balanced (60%)

The letter contains more bullish than bearish directional language, with frequent use of terms like opportunity, attractive, robust demand, durable growth, and strong positioning. However, the manager also uses risk language including concerns about disruption, volatility, digestion, and uncertainty around AI impact. The balance tilts positive but is not overwhelmingly bullish, with meaningful acknowledgment of risks and challenges.

Perceived Risk

55%

Low RiskElevated

Moderate Risk (55%)

The manager identifies several specific risks including competition from lower-cost open-source models, token optimization and usage rationalization, potential architectural breakthroughs that reduce compute intensity, and market volatility from concentrated leadership and elevated momentum exposure. These risks are discussed with meaningful detail and are central to the manager's monitoring framework. However, the manager does not express alarm or systemic concern, instead framing these as risks to monitor rather than imminent threats. The risk discussion is substantive but not dominant in the letter.

Opportunity Density

75%

ScarceAbundant

Abundant (75%)

The manager sees a rich opportunity set within AI infrastructure, adding seven new positions in a single quarter across CPUs, inference, memory, circuit boards, and space. The manager describes multiple bottlenecks where demand is growing rapidly and supply cannot respond quickly, and maintains conviction in several compressed valuations. However, the manager also reduced consumer internet exposure, suggesting selectivity and a narrower opportunity set outside of AI infrastructure. The opportunity density is high within the manager's focus areas but more limited broadly.

Time Horizon

75%

Short-TermLong-Term

Decade+ (75%)

The fund explicitly states an expected holding period of 5+ years and has an annual average turnover of 21 percent, indicating a multi-year investment horizon. The manager discusses durable long-term growth, structural multiyear shortages, and the intent to own businesses through volatility. The manager frames the AI infrastructure buildout as a multiyear theme rather than a near-term trade. However, the manager also discusses quarterly results, near-term earnings visibility, and monitoring of specific catalysts, preventing a score above 0.80. The time horizon is clearly multi-year but not permanent capital or decade-plus.