| ANNUALIZED SINCE INCEPTION | QUARTERLY | YTD |
|---|---|---|
| 11.93% | -4.86% | -4.86% |
Baron Global Opportunity Fund declined 4.8% in Q1 2026 versus 3.2% for the MSCI ACWI Index, primarily due to geopolitical tensions including Middle East conflicts that drove oil to $150 per barrel and reduced rate cut expectations. Despite near-term volatility, the manager sees extraordinary long-term opportunity in AI disruption, which has moved from novelty to transformational utility with dramatic revenue acceleration. Companies like Anthropic added $21 billion in ARR in one quarter, while Amazon's AI business reached $15 billion revenue run rate. The fund focuses on businesses with structural competitive moats that AI cannot replicate, including network effects at Shopify and Cloudflare, proprietary data advantages at CrowdStrike and Snowflake, and manufacturing complexity at TSMC and ASML. Portfolio positioning emphasizes AI infrastructure beneficiaries with new investments in Forgent Power Solutions and Nebius Group. The manager added to 22 existing positions during market weakness, taking advantage of AI-related fears to increase conviction in highest-quality software names. Long-term outlook remains optimistic despite ongoing geopolitical uncertainty.
AI represents a paradigm-shifting disruption moving from novelty to transformational utility, creating massive opportunities for companies with structural competitive moats including network effects, proprietary data, and manufacturing complexity that cannot be replicated by AI models.
Optimistic about long-term prospects of portfolio companies despite near-term volatility. Believes AI disruption represents extraordinary opportunity with companies reporting positive early data points. Expects pragmatism and rationality to prevail over geopolitical uncertainty. Continues searching for new investment opportunities while remaining patient and investing only at attractive prices relative to intrinsic values.
| Date | Letter | Tickers | Keywords | Pitches | Quick Takes |
|---|---|---|---|---|---|
| May 19 2026 | 2026 Q1 | AMZN, ASML, BAJFINANCE.NS, CPNG, CRWD, DDOG, GDS, MELI, NET, NU, NVDA, SHOP, SNOW, TSM | AI, Cloud, cybersecurity, E-Commerce, global, growth, semiconductors, technology | - | Baron Global Opportunity Fund sees AI disruption creating extraordinary opportunities for companies with structural competitive moats. Despite Q1 geopolitical volatility, dramatic AI revenue acceleration validates thesis. Portfolio emphasizes infrastructure beneficiaries and platforms with network effects that AI cannot replicate. Added to 22 positions during weakness, initiated new AI infrastructure investments. |
| Mar 2 2026 | 2025 Q4 | ADYEN, AMZN, ARGX, ASML, BILL, CPNG, CRWD, DDOG, GDS, ILMN, MELI, NET, NU, NVDA, SHOP, SNOW, SQ, TSM, WIX, ZS | AI, Cloud, E-Commerce, global, growth, innovation, semiconductors, technology | - | Baron Global Opportunity Fund posted strong Q4 and annual returns driven by AI theme leadership and international market recovery. SpaceX revaluation and technology stock selection powered outperformance despite trade policy volatility. Portfolio concentrated in AI beneficiaries from infrastructure to applications, positioned for continued innovation acceleration while maintaining geographic diversification and disciplined approach to disruptive change investing. |
| Oct 2 2025 | 2025 Q3 | - | AI, earnings, Federal Reserve, Rate Cuts, small caps, technology | - | Markets hit new highs in Q3 driven by Fed rate cuts, AI investment boom, and broadening leadership to small caps. The Russell 2000 broke above 2021 highs while technology spending grew at the fastest pace since the late 1990s. Market positioning reflects soft landing expectations though Q4 remains data-dependent on jobs and inflation trends. |
| QUARTER | THEMES | TAGS |
|---|---|---|
| 2026 Q1 |
AIAI has moved from novelty to transformational utility with dramatic acceleration in adoption and usage. Revenue generation is now evident with companies like Anthropic adding $21 billion in ARR in one quarter. AI is reshaping competitive moats, favoring structural advantages like network effects and proprietary data while reducing durability of simple product features. |
Artificial Intelligence Machine Learning Inference Agents Revenue |
CloudAmazon AWS continues capacity constraints with growth limited by ability to serve demand. AI cloud buildout represents massive opportunity with neoclouds like Nebius targeting significant market share. Cloud infrastructure remains foundational for AI workloads with custom chips business growing triple-digit percentages. |
AWS Infrastructure Capacity Neocloud Hyperscale | |
Data CentersData center demand driven by AI buildout with companies like Forgent seeing 69% revenue growth. Electrical distribution equipment for data centers experiencing secular tailwinds. Physical infrastructure density creates competitive moats that AI cannot shortcut. |
Infrastructure Electrical Capacity Buildout Hardware | |
SemiconductorsTSMC dominates advanced semiconductor manufacturing with 90% market share at leading-edge nodes. Manufacturing complexity and yield expertise create structural moats. Advanced nodes now generate 74% of TSMC's revenue with strong AI-driven demand continuing. |
Manufacturing Foundry Advanced Nodes Yield Fabrication | |
E-commerceNetwork effects remain durable competitive advantages in e-commerce platforms. Shopify's merchant-consumer network strengthens in agentic commerce. MercadoLibre's scale enables lower shipping costs and higher purchase frequency, driving market share gains. |
Platforms Network Effects Merchants Logistics Scale | |
CybersecurityProprietary data moats strengthen in AI era with companies like CrowdStrike processing trillions of security events globally. Data advantages cannot be replicated by foundation models, creating structural competitive advantages. |
Security Data Endpoints Protection Threat | |
| 2025 Q4 |
AIAI has been the defining theme of market leadership in 2025, driving data center capex and benefiting semis, electrical equipment, and tech hardware. The theme reasserted dominance after NVIDIA's strong earnings in late November, though concerns about durability caused temporary rotation. |
Data Centers Semiconductors Infrastructure |
ElectrificationPortfolio maintains largest absolute and relative exposure to Industrials sector representing conviction in the Electrification theme. Bloom Energy benefited from AI data center power demands, with fuel cells providing reliable onsite power generation. |
Power Generation Grid Infrastructure Energy Storage | |
AerospacePortfolio retains conviction in the Aerospace theme alongside Electrification within the Industrials sector. Rocket Lab operates in Launch Services and Space Systems, providing rides to orbit for small satellites and manufacturing spacecraft components. |
Space Defense Launch Services | |
BiotechnologyBiotech was a standout performer during the quarter, delivering its best quarter in five years driven by improving rate environment, easing regulation enabling more M&A, and excitement around AI's promise in drug discovery efficiency. |
Drug Discovery M&A Pharmaceuticals | |
SolarFirst Solar differentiates itself using thin-film Cadmium Telluride technology offering better performance versus traditional silicon panels. An added tailwind came from the Trump Administration's One Big Beautiful Bill driving US demand for non-China solar products. |
Solar Panels Manufacturing Trade Policy | |
| 2025 Q3 |
AITechnology-related investment grew 14% year-over-year in Q2, the fastest pace since the late 1990s, driven by AI industry buildout including high-performance computer chips, cloud architecture, and data center construction. Management teams across the AI supply chain report strong demand with spending plans measuring in the hundreds of billions and order backlogs spanning years. AI enthusiasm has fueled outsized gains in technology and semiconductor stocks, though some question whether spending is outpacing potential revenue growth. |
Data Centers Semiconductors Cloud Technology |
RatesThe Federal Reserve delivered a 0.25% rate cut in September, ending its 9-month pause, framed as a risk management cut to keep economic expansion on track. The central bank updated its policy forecast to include two more rate cuts before year-end with potential for more in 2026. Treasury yields fluctuated but ended the quarter lower, with longer-maturity bonds outperforming due to higher sensitivity to falling interest rates. |
Federal Reserve Monetary Policy Treasury Bonds | |
Small CapsSmall-cap stocks rallied sharply in anticipation of the Fed's rate cut, with the Russell 2000 surpassing its previous high from 2021 and returning nearly 12%. Small caps posted their biggest quarter of outperformance over the S&P 500 since Q1 2021 as investors bet that rate cuts would benefit smaller companies. Small caps are viewed as more sensitive to rate cuts and shifts in global financial conditions. |
Russell 2000 Rate Sensitivity Outperformance |
| Date | Pitch Type | Author | Ticker | Company | Industry | Sub Industry | Bull / Bear | Exchange | Keywords | Action |
|---|---|---|---|---|---|---|---|---|---|---|
| No Elevator Pitches found | ||||||||||
| TICKER | COMMENTARY |
|---|---|
| SHOP | Shares of Shopify Inc., the leading global commerce operating system, declined 25.5% during the first quarter, as a broader software selloff compressed high-multiple growth stocks. The business itself delivered an exceptional year: gross merchandise value (GMV) grew 30% - adding $86 billion of incremental volume - revenue grew 30%, and free cash flow grew 26% to over $2 billion. Management guided to low-thirties revenue growth for Q1 2026, above the roughly 25% most analysts had modeled. Enterprise penetration remains in early innings: merchants above $25 million GMV are growing faster than the broader business, and Shopify holds low single-digit share of the $2.4 trillion enterprise e-commerce market. Shop Pay GMV of $121 billion grew 62% and now exceeds 50% of U.S. payments volume - a consumer trust signal with advertising optionality via the Shopify Product Network. We view the drawdown as an opportunity to own an exceptional business at a more attractive entry point, added to the position, and see a path for attractive multi-year compounding from current prices. |
| SNOW | Snowflake Inc. is a cloud data platform primarily used for data analytics. Shares declined 31.3% during the quarter, as investors became increasingly concerned that AI-native competitors could disrupt traditional software vendors. Even so, the company posted solid results, with product revenue growth of approximately 30%, best-in-class 125% net revenue retention, record new customer wins, and robust cash generation. Backlog continued to build momentum, with accelerating growth as the company inked its largest contract ever, valued at over $400 million. Snowflake's product innovation also remains strong, as the company rapidly embeds AI capabilities across its platform to better address customer needs. Its AI product suite has become the fastest-growing offering in the company's history, already generating over $100 million in annualized revenue, with newer tools such as Snowflake Intelligence and Cortex Code now being used by thousands of customers. |
| AMZN | Amazon AI is now at a $15 billion revenue run rate (260x larger than original Amazon Web Services (AWS) at the same point), their combined custom chips business (Graviton, Trainium, and Nitro) is now at a $20 billion ARR, growing triple-digit percentages year-over-year, implying approximately 13% of total AWS revenues. And that number is understated since they are monetizing the chips themselves. If it was a standalone business selling to third parties, their ARR would be $50 billion. AWS continues to be capacity constrained - growth would be higher if they could serve it. At 5.0% of the Fund's net assets, Amazon is our fourth largest holding - we would own more if we could. |
| NVDA | Jensen revealed a $1 trillion order book and proclaimed that OpenClaw did for agentic systems what ChatGPT did for generative systems. We do not believe any of these 10 investments will cause a permanent loss of capital and have in fact added to all of them, except for NVIDIA where we are maxed out due to a regulatory restriction. |
| TSM | Semiconductor giant Taiwan Semiconductor Manufacturing Company Limited shares rose 11.4% in the quarter, as revenue growth of 20.5% (and 25.5% in USD) exceeded expectations due to surging demand for AI chips. TSMC dominates the advanced semiconductor foundry market, controlling over 90% share of cutting-edge sub-7 nm nodes that power AI servers, flagship smartphones, and autonomous vehicles. The company benefits from a virtuous cycle in which its massive scale and profitability generate the capital necessary to fund industry-leading R&D and capex, in turn widening its technological moat and reinforcing its pricing power. As the ultimate picks-and-shovels provider of the AI era, TSMC remains insulated from the competitive dynamics of the AI chip design ecosystem. Whether hyperscalers develop custom accelerators or deploy merchant GPUs from companies like NVIDIA and AMD, nearly all advanced AI accelerators are manufactured exclusively at TSMC's 3nm and 5nm nodes. We believe TSMC will deliver 20% earnings growth over the next several years, supported by secular AI-driven demand for leading-edge manufacturing capacity. |
| MELI | MercadoLibre is a great example of how scale creates a self-reinforcing cycle. Greater volume drives lower shipping costs per package, enabling the company to reduce its free shipping threshold, which drives higher purchase frequency, expands the addressable market to lower-cost everyday items, and attracts more buyers and sellers, which further improves logistics density, reducing unit shipping costs and so on. In the Summer of 2025, MercadoLibre lowered its free shipping threshold in Brazil and the results were striking: items sold accelerated from 26% growth in Q2 to 42% in Q3 and 45% in Q4. Unique buyers crossed 80 million for the first time, and the company achieved record market share gains in both Brazil and Mexico – all while unit shipping costs in fulfillment fell year-over-year. |
| NET | Cloudflare built a network that operates in over 330 cities across 125 countries where it cross-connects its customers directly with origin servers, bypassing the public internet, significantly reducing latency and reducing costs. The more traffic that flows through Cloudflare, the better its routing intelligence becomes, making it more attractive for the next customer. AI further reinforces this moat as its close physical proximity to users globally enables it to offer low-latency AI inference, which in turn drives demand for its core offerings. Matthew Prince, Cloudflare's CEO articulated it on a recent earnings call: This creates a virtuous flywheel: more agents drive more code to Cloudflare Workers, which fuels demand for our performance, security, and networking service. |
| CPNG | Coupang's scale enabled it to build a fulfillment infrastructure so dense that 70%-plus of South Koreans live within seven miles of a fulfillment center, a physical network no AI model can shortcut. Its scale also enables it to offer a wider selection of products at better prices to customers, which makes its offering unmatched, with its competitive moat only widening as it scales further. Shares of Coupang, Inc. declined during the quarter due to a cybersecurity incident, whose impact we believe will be short-lived. |
| NU | We also added to Nu, the leading Latin American neobank, after its stock sold off on an apparent miss in loan loss provisions - one driven entirely by accounting rules requiring front-loaded provisioning on expanded credit limits, not any deterioration in underlying credit quality. |
| GDS | We also added to our Chinese data center company, GDS. |
| ASML | Dutch semiconductor equipment company ASML Holding N.V. shares increased 23.5% in the first quarter due to robust demand for its lithography systems amid a strong AI-driven semiconductor capex cycle. ASML holds a monopoly on extreme ultraviolet (EUV) lithography, the indispensable technology required to manufacture the world's most advanced chips at 7nm and below. Without EUV, chipmakers cannot economically achieve the transistor densities needed to power AI accelerators, flagship smartphones, and autonomous vehicles. As leading chipmakers including Taiwan Semiconductor (TSMC), Samsung, and Micron race to expand advanced manufacturing capacity to meet surging AI demand, ASML sits at the center of the global semiconductor ecosystem as an indispensable enabler. Moreover, we expect a strong product cycle over the next five years as High-NA EUV – the next-generation platform delivering superior resolution and continued transistor scaling – enters high-volume manufacturing. We also project significant gross margin expansion, driven by ASML's pricing power and increasing scale, supporting strong double-digit earnings growth. |
| CRWD | CrowdStrike processes trillions of endpoint security events globally. CEO George Kurtz, described it on a recent earnings call: Our data moat creates a structural advantage no LLM provider can replicate. We took advantage of AI fears to add to several of our highest conviction software names including: the leading cyber-security platform, CrowdStrike. |
| BAJFINANCE.NS | Bajaj Finance Limited is a leading non-bank financial company in India. Shares declined 22.3% during the quarter as geopolitical tensions over the past month raised expectations of higher inflation and disrupted India's easing interest rate environment, which could negatively impact consumption-led credit growth in the short term. We retain conviction in the company due to its best-in-class management team, robust long-term growth outlook, and conservative risk management frameworks. We believe Bajaj is well positioned to benefit from growing demand for consumer financial services in India, including mortgages, personal loans, credit cards, and other related products. We also believe the company will be an AI beneficiary thanks to its robust proprietary data and tech stack, which enables it to both run the business more efficiently and drive incremental loan growth. Bajaj Finance illustrates how proprietary data compounds into product advantage in financial services. The company has lending data on over 100 million Indian consumers across 26 product categories. In the last quarter alone, its AI systems listened to 20 million customer calls, converted voice to text, extracted structured data on 520,000 customers, and generated 100,000 new personalized loan offers that the company previously lacked the information to make, producing ₹1,600 crore in disbursals, roughly 10% of quarterly volume. |
| Ticker | Put/Call | Amount Bought | Shares Bought | % Change | Weight % |
|---|---|---|---|---|---|
| No Recent Buys Data | |||||
| Ticker | Put/Call | Amount Sold | Shares Sold | % Change | Weight % | Status |
|---|---|---|---|---|---|---|
| No Recent Sells Data | ||||||
| Industry | Prev Quarter % | Current Quarter % | Change |
|---|---|---|---|
| No industry data available | |||
