In this article, we explore the Harvard University Stocks List: Top 9 AI Picks.

Concerns over AI disrupting the software industry are rattling Wall Street. The scope of AI’s impact is now a major headwind, even for top hardware players during the AI boom. Software and services companies lost about $300 billion in market value in a single day due to the release of AI-driven automation tools, underscoring the sector’s volatility. The concern fueling this volatility is that these AI-driven tools could eventually handle some legal, marketing, and services tasks.

This ripple effect in the software sector also impacts hardware: “All the software players are clients of the hyperscalers,” such as Amazon, Microsoft, and Alphabet, Mike O’Rourke at Jones Trading said. He explained, “If the guys who are supposed to buy the computing power are being disrupted, that’s bad for the hyperscalers, too.”

Despite these concerns, optimism surrounding generative AI remains strong, keeping the AI-driven trade alive and well. Jensen Huang emphasized that the burgeoning industry boasts opportunities upwards of $1 trillion in revenue, although it is still far from broadly profitable.

Looking ahead, UBS Global Wealth Management projects global spending on AI to increase 33% in 2026 to $500 billion. This suggests that some of the biggest beneficiaries will be power and resources companies, which are expected to benefit from accelerating global electricity demand.

However, the key question for investors is whether these massive expenditures will result in significant returns on capital. At the same time, some companies are already capitalizing on the burgeoning AI boom.

While Harvard Management Company manages over $50 billion endowment, its stock portfolio is mostly invested in technology companies benefiting from the artificial intelligence boom. The inclination does not come as a surprise, given that a recent study by a Harvard Business School professor showed AI can predict 71% of active-fund trades. Last year, the university’s endowment achieved an 11.9% return. Over the past eight years, the portfolio has also achieved an annualized return of 9.6%.

With these dynamics in mind, let’s review Harvard University’s top AI stock picks as potential opportunities for investors seeking exposure to transformative trends.

Our Methodology

For this analysis, we reviewed Harvard Management Company’s stock portfolio as reported in its 13F filing. To provide additional insight into institutional investor interest, we also included Q4 2025 hedge fund holdings data using Insider Monkey’s edge fund holdings database. The stocks are ranked in ascending order by Harvard University’s equity stake in each company.

Why are we interested in the stocks that hedge funds pile into? The reason is simple: our research shows we can outperform the market by imitating the top stock picks of the best hedge funds. Our quarterly newsletter’s strategy selects 14 small-cap and large-cap stocks every quarter and has returned 498.7% since May 2014, beating its benchmark by 303 percentage points (see more details here).

Harvard University Stocks List: Top AI Picks

9. Klarna Group plc (NYSE:KLAR)

Harvard Management Equity Stake: $13.27 Million

Number of Hedge Fund Holders: 44

Klarna Group plc (NYSE:KLAR) is one of Harvard University’s top AI stock picks. On March 5, Morgan Stanley reiterated an Equalweight rating on Klarna Group plc (NYSE:KLAR) with a $16 price target. The bullish stance is in response to the company reiterating that it is pivoting more toward a spend-centric rather than a lending-centric model.

While consumers’ spending power remains strong and funding markets remain constructive, Morgan Stanley expects the company to benefit from total merchandise volume acceleration. The company has already confirmed that its banking app boasts 9 million daily active users. It also boasts of a 53% increase in daily engagement levels compared to the previous year.

Klarna has already inked a strategic collaboration, paving the way for the integration with Stripe. The integration will enable AI agent-driven shopping experiences to support its flexible payment options. In addition, it will enable automated checkout flows for US merchants using Stripe’s Shared Payment Tokens.

Klarna Group plc (NYSE:KLAR) is a global fintech company and licensed bank that provides Buy Now, Pay Later (BNPL) payment services, flexible payment options, and shopping tools for consumers and merchants. It has adopted an “AI-first” strategy, integrating artificial intelligence deeply across its customer service, product development, and internal operations to improve efficiency and reduce costs.

8. NVIDIA Corporation (NASDAQ:NVDA)

Harvard Management Equity Stake: $76.52 Million

Number of Hedge Fund Holders: 264

NVIDIA Corporation (NASDAQ:NVDA) is one of Harvard University’s top AI stock picks. On March 16, NVIDIA Corporation (NASDAQ:NVDA) unveiled Agent Toolkit, a new open-source software platform tailored for building autonomous enterprise agents. The toolkit comes with OpenShell, an open-source runtime that provides policy-based security, network, and privacy controls.

Agent Toolkit comes with open-source models and software for enterprises and developers to build tools that scale productivity. For instance, it includes NVIDIA Nemotron open-source agents like NVIDIA AI-Q and NVIDIA cuOpt. Therefore, developers can use it to create specialized AI agents that can act autonomously. NVIDIA AI-Q can enable developers to build custom AI agents that perceive, reason, and act on enterprise knowledge.

At the GTC 2026 Keynote, CEO Jensen Huang reiterated that the company is well-positioned to expand its AI capabilities and solidify partnerships across sectors. The push is part of an effort to capitalize on computing demand that could surpass $1 trillion by 2027. Consequently, the company is partnering with major automotive and cloud service companies to expand market reach.

NVIDIA Corporation (NASDAQ:NVDA) is the dominant leader in AI computing, providing a full-stack platform spanning hardware, software, and services for AI development, training, and inference. The company has transformed from a GPU manufacturer into an AI infrastructure company, with its technology driving advancements in generative AI, large language models (LLMs), and physical AI (robotics).