Notes From the Road: An Outlook for AI and Technology Stocks

The investment opportunity in artificial intelligence (AI) may appear to be carried by a small group of mega-cap stocks. Yet there is a great deal of activity bubbling below the popular radar, a reality that is abundantly clear to Tony Kim, head of the Fundamental Equities Global Technology team.

He and 36 BlackRock colleagues traveled 300 miles over five days in June to meet with leaders of 29 public and private technology companies in San Francisco and Silicon Valley. The “tech tour” ― the 11th annual and counting ― is a critical input to the team’s fundamental research process. Mr. Kim recently joined The Bid podcast to share his learnings and reflections from the road.

An AI ‘takeover’

AI is not only dominating stock market returns, but the entirety of Silicon Valley as well. Mr. Kim observes that talk of AI was light and company-specific in the first nine years of the tech tour but has dominated in the past two.

“In the prior nine years, AI was more a tool ― something in the background. Operationally a few companies were using it,” he explains. “It is now at the forefront of every company, and it's really changing the foundations of the software industry and the semiconductor industry. It’s cascading to the power and energy industry. It’s also changing the very product and services that all tech companies are building to. That’s the sea change, and it’s been remarkable how that’s changed in 24 months.”

The making of a new ‘stack’

This takeover naturally alters the investment opportunity set. Mr. Kim describes how AI has redefined the technology “stack,” the hardware, software and data that come together to perform specific tasks or functions. The stack builds from the bottom up and includes three broad layers:

  1. Infrastructure. Sitting at the base of the stack, these are the chips and cloud infrastructure that form the foundation of AI enablement. The vast majority of investment to date has been centered here.
  2. Intelligence. This middle layer encompasses the data and AI models themselves. These are being built now and increasing in capability.
  3. Applications. The top layer includes the software services and solutions that leverage the aforementioned AI intelligence ― creating a new set of AI-enabled applications.

“In 2023 and 2024, much of the investment and stock price reaction has been at the bottom layer of the stack,” Mr. Kim explains. “As we progress into year three, year four and year five, we will start seeing opportunities in that intelligence layer and, of course, finally in the application layer, which has not been a beneficiary of this first wave of AI.”

What end markets will benefit from the big AI build? Mr. Kim cites the consumer market, manifesting as “personal assistants” in areas such as web search, social, e-commerce and shopping. He then expects AI to become more relevant and engrained in corporations, followed by physical “real world” markets such as cars, airplanes, the military and robots.

Each of these is in very early stages of adoption, Mr. Kim says, but all leverage the same infrastructure that is being heavily invested in right now.