Investing in companies across the AI tech stack

Jay Jacobs Apr 21, 2025 Equity

KEY TAKEAWAYS

  • AI’s tech stack is composed of infrastructure, intelligence, and apps & services — with each layer playing a different role in the AI story.
  • Different companies across these layers including Coherent, Thomson Reuters, and ServiceNow are reshaping the emergence of AI.
  • An actively managed ETF like the iShares A.I. Innovation and Tech Active ETF (BAI), provides hand-picked exposure to companies enabling, developing, and deploying today's most advanced AI technologies.

INTRODUCTION

It’s hard to believe it has been just a couple of years since the release of ChatGPT ignited a generative AI revolution. Since then, surging AI optimism has catalyzed massive investment in AI infrastructure. AI is a powerful mega force with the potential to reshape the economy on a scale comparable to the industrial revolution or rise of the internet. A range of companies are leading this transformation, hailing from various layers across the “AI tech stack which includes infrastructure, intelligence, and Apps & Services.

Each layer of the tech stack plays an important role in AI’s emergence, and presents different opportunities for investors. To delve deeper into each of these layers, we profile three companies currently held in the iShares A.I. Innovation and Tech Active ETF (BAI).

The AI stack

Illustration showing the different layers of the AI tech stack across Infrastructure, Intelligence, and Apps & Services.

Source: BlackRock, as of April 2025.

Image description: Illustration showing the different layers of the AI tech stack across Infrastructure, Intelligence, and Apps & Services.


INFRASTRUCTURE

Coherent: a global leader in materials, networking, and lasers

Infrastructure is a critical component of the AI tech stack, serving as the physical foundation for AI compute used in training large language models and inference. “As AI models become exponentially more complex, annual investment into AI data centers and their chips could surpass U.S. $700 billion by 2030, equivalent to 2% of annual U.S. GDP.1

As a designer and manufacturer of lasers, optical instruments, and photonic products, Coherent (1.55% exposure in BAI)2 provides solutions for a range of industries including semiconductors and materials processing. Coherent plays a particularly crucial role in AI data centers by providing advanced optical communication technologies, like transceivers. These technologies are essential for the high-speed data transfer needed in AI data centers, as huge amounts of data need to rapidly move between servers and computing nodes.3 Just 20 years ago, the maximum speed of transceivers was 10gbps (gigabits per second), but given AI demand Coherent now ships 800gbps transceivers.4

Imagine: you’re in a library helping someone research a topic and you’re able to carry about 5-10 books from the shelves to a table where they are seated. A 800gbps transceiver can move the equivalent of over one million books worth of data each second.5

INTELLIGENCE

Thomson Reuters: building the next generation of legal research

The intelligence layer of the AI tech stack encompasses AI models and the unique data sets being used to train them.

Thomson Reuters (2.54% exposure in BAI)6 is a global provider of news, information and software solutions to professionals in finance, legal, tax and media. However, given their vast library of legal and business data, they are finding new revenues streams from licensing this data to developers who use it to train AI models. They are also applying their proprietary data to their own services, building out the largest online legal research delivery platform, Westlaw. Data & models are crucial here, as Westlaw aggregates and indexes data across millions of legal documents, relying on machine learning and AI models to analyze and categorize it all.7

Imagine: you’re a lawyer who needs to find relevant cases for a trial. Instead of spending hours searching through books and online databases, you can use AI- tools powered by data & models. These tools quickly scan through vast amounts of legal documents and can provide the most relevant information in seconds.

APPS & SERVICES

ServiceNow: streamlining workflows to boost business productivity and efficiency

The final layer of the AI tech stack is applications & services. Think of this as the real-life applications of AI that have seamlessly integrated into the services and solutions you turn to daily.

ServiceNow (2.90% exposure in BAI)8 is a cloud-based platform that provides solutions for automating and managing common business procedures. Have you submitted a request to use your vacation days to your company’s HR team? This may have very-well been done through ServiceNow. Increasingly, ServiceNow is using AI to make work easier and more efficient for businesses, including creating tools that help automate repetitive tasks, solve problems, and improve workflows.9

Imagine: you run a company that manages a large fleet of delivery trucks. AI can monitor data from the trucks, such as engine performance and mileage. If the AI detects that a truck is likely to need maintenance soon, it can automatically schedule a service appointment. This helps prevent breakdowns and keeps the fleet running smoothly.

CONCLUSION

As AI continues to evolve and change the way we view technology, so must the way in which we invest in it. Investing across the different layers of the AI tech stack could be key to capturing the full investment opportunity in the AI theme. While the largest names in the space tend to make headlines, we believe there are under-the-radar players in AI that represent some of the most compelling opportunities. An actively managed ETF like the iShares A.I. Innovation and Tech Active ETF (BAI), provides hand-picked exposure to companies enabling, developing, and deploying today's most advanced AI technologies.

Holdings as of 04/07/2025 and subject to change.  There is no guarantee that the companies discussed remain in the fund. For a complete list of most recent holdings, click on the fund card below. This is not meant as a guarantee of any future result or experience. This information should not be relied upon as research, investment advice or a recommendation regarding the Funds or any security in particular. Specific companies or issuers are mentioned for educational purposes only and should not be deemed as a recommendation to buy or sell any securities.

Photo: Jay Jacobs

Jay Jacobs

U.S. Head of Thematic and Active ETFs at BlackRock

Ashley Saidler

Thematic Strategist

Contributor

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