Billionaire Ray Dalio Is Betting Big on These 4 AI Stocks

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By Thomas Richmond Updated Published
Billionaire Ray Dalio Is Betting Big on These 4 AI Stocks

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Billionaire investor Ray Dalio built Bridgewater Associates into one of the most successful hedge funds in history, overseeing roughly $150 billion in assets at its peak. While Bridgewater is best known for its “All Weather” risk-balanced approach, its latest equity holdings reveal a high-conviction pivot toward the semiconductor supply chain and agentic AI software.

Bridgewater has built meaningful positions in four technology companies tied to different parts of the AI ecosystem, including NVIDIA (NASDAQ:NVDA | NVDA Price Prediction), Lam Research (NASDAQ:LRCX), Salesforce (NYSE:CRM), and Alphabet (NASDAQ:GOOGL).

NVIDIA: The High-Conviction Pure-Play Infrastructure Bet

Bridgewater’s biggest technology holding is NVIDIA Corporation, making up roughly 2.6% of the portfolio. While the market watches for its May 20 earnings report, institutional sentiment is surging. Goldman Sachs recently raised its Q1 revenue forecast to **$80 billion** (against a $78 billion consensus), citing insatiable demand for the Blackwell architecture.

CEO Jensen Huang has identified the current window as an “Agentic AI inflection point.” For Bridgewater, NVIDIA remains the primary toll-booth for the global AI build-out, with shares up 77% over the past year despite persistent macro-economic headwinds.

Lam Research: Capitalizing on the Hardware Accelerant

Lam Research represents 1.9% of the Bridgewater portfolio and serves as a critical proxy for semiconductor manufacturing. Unlike software firms currently struggling with seat-based licensing models, Lam is seeing immediate revenue acceleration.

The company recently reported Q3 fiscal 2026 revenue of $5.84 billion, up 9% sequentially and beating expectations. More importantly, management guided for **$6.60 billion** in the June quarter. This suggests that the “multi-year growth catalyst” predicted by CEO Tim Archer is now being realized in actual hardware shipments, driving the stock near 52-week highs.

Salesforce: A Value-Play in Enterprise Agentic AI

Salesforce provides Bridgewater with exposure to AI software applications, accounting for 1.8% of the portfolio. While hardware stocks have soared, Salesforce represents a more contrarian bet; shares have lagged the S&P 500 recently as the market digests the transition to AI-agent pricing.

However, the fundamentals remain aggressive. Agentforce ARR recently surged 169% to $800 million, and the company has reiterated its $63 billion FY30 revenue target. For Dalio’s team, the current $180 price point may offer a reasonably priced entry into the software “second wave” of the AI boom.

Alphabet: Dominating the 2026 Capex Cycle

Alphabet remains a top-tier holding even after a 40% position trim. The recent Q1 2026 earnings silenced skeptics as Google Cloud revenue jumped to $20.03 billion (63% YoY growth). Alphabet is also leading the “Capex Arms Race,” signaling it will spend between **$180 billion and $190 billion** in 2026 to secure its AI infrastructure dominance.

The Ray Dalio Thesis: The “Risky Period” (2026–2028)

While bullish on these AI leaders, Ray Dalio recently issued a warning on May 3, 2026, regarding a “particularly risky period” for the U.S. economy between the **2026 midterms and the 2028 election**. Dalio points to a fiscal imbalance where the U.S. is spending $7 trillion while generating only $5 trillion in revenue. For investors, this suggests that while AI provides a massive productivity tailwind, it must be balanced against a macro environment of rising debt levels and political volatility.

Editor’s Note: This article was updated on May 11, 2026, to include actual Q1 2026 revenue results for Alphabet ($20.03B) and Lam Research ($5.84B), updated 2026 Capex guidance, and Ray Dalio’s latest commentary on the 2026–2028 fiscal risk window.

Photo of Thomas Richmond
About the Author Thomas Richmond →

Thomas Richmond is a financial writer and content strategist with 5+ years of experience covering stocks and financial markets. He has published over 250 articles focused on individual stock analysis, helping investors better understand business fundamentals, stock valuations, and long-term opportunities.

Thomas previously served as a Content Lead at TIKR, a stock research platform, where he helped scale the company’s blog to hundreds of articles per month and contributed to a weekly newsletter reaching more than 100,000 investors.

He specializes in breaking down complex companies into clear, actionable insights for everyday investors, with a focus on fundamentals-driven research.

His work has also been featured on platforms including Seeking Alpha and Sure Dividend.

Outside of work, Thomas enjoys weight lifting and soccer.

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