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July 2024 / VIDEO

Growing pains and opportunity: Analyzing what's next in the AI boom

David Giroux explains why AI is likely to be deflationary over time and why he likes software.

Key Insights

  • Excitement over artificial intelligence (AI) has created a great deal of market capitalization. It’s still early days for adoption of this disruptive technology.
  • Adoption of advanced AI is likely to be deflationary in the intermediate term, as productivity gains could lead to higher unemployment.
  • New features could enable some software companies to take share or increase prices, while using AI to aid software development could lower their costs.

Transcript

We are still really early in the AI story.

If you look at all the survey data you see from Fortune 1000 kind of CIOs, what are they doing from an AI perspective?

Right now, they're just, they're doing tests. They're doing beta analysis.

This all came on so quickly.

How do we deploy this to the benefit, and what's kind of the ROI?

We're really early days there.

The longer-term implication of this--maybe this even goes to the rates discussion—is, and we are going to have to deal with this as a civilization, as a country, as a world: This is going to destroy jobs.

And that will probably put that supply-demand imbalance for labor in a little bit more favorable position for an employer.

You're not just competing with, you know, two different people working for the same job but maybe with a computer option or a software option.

So I think that is actually deflationary long term because a lot of the productivity is coming from, you know, if you can get 20% productivity, 50% productivity, you don’t need as many workers.

And that might mean a structural increase in the unemployment rate and actually structural, a decline in the inflation rate, potentially. And that's just something that we're going to have to deal with.

I'm bullish on software companies around AI.

But what makes up software companies? It's mostly software engineers. That's the number one job at all these companies. But they don’t need as many software engineers as they had in the past. You can have a situation where these software companies are actually  generating higher revenue growth because of AI, but they’re also benefiting because they need fewer software engineers to write the code than they did in the past.

So you can have a really nice situation where revenue growth is accelerating and margins are going the right way as well.

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