Episode summary
Can Big Tech’s AI Spending Pay Off?
Wall Street Week
· · 12 min · Guests: Blair Effron
Summary
Blair Effron argues that artificial intelligence is distorting the markets far more than it is distorting corporate boardrooms. He says roughly $700 billion of hyperscaler investment is forcing investors to confront eventual returns, but most companies in the S&P 100 are still moving more cautiously and implementing AI more slowly than the market narrative suggests. He thinks AI may add 30 basis points to 50 basis points to GDP growth, yet he does not see a near-term employment cliff.
Effron says CEOs have turned noticeably more cautious about the economy. He thinks many now view the economy as a 1.5% economy rather than the 2% to 2.5% pace they expected earlier in the year, citing weaker consumer sentiment, depleted savings, and higher energy costs as pressures on margins and demand.
He also argues that Europe is not realistically catching up in AI, because the U.S. dominates the leading companies, capital markets are fragmented in Europe, and regulation is less coordinated. In media, he says consolidation reflects the need for scale and for content businesses to become more tech-native, with the winners likely to be firms that combine technology and creative DNA.
Key takeaways
- Effron says AI is moving markets more than it is moving the C-suite, even with about $700 billion of hyperscaler capex.
- He believes most S&P 100 companies are making appropriate AI investments, but adoption is slower outside tech than investors assume.
- Effron says CEOs have become more cautious and increasingly view the U.S. economy as a 1.5% economy.
- He sees Europe as structurally behind in AI because 43 of the largest 50 AI companies are U.S.-based and capital markets there remain fragmented.
- In media, Effron thinks scale matters and the best-positioned companies are those that combine content with technology.
Notable quotes
“I think it's distorting the markets much more than it is the C-suite”
“At some point, investors will demand a return. And if you're worth a trillion dollars and you trade it 30 times, that's $35 billion in net income you need”
“Most companies in the S&P 100 are making-- and actually even more broadly, are making appropriate investments in AI”
“I think most CEOs today think the economy is a 1.5% economy”
“The fact of the matter is 43 of the largest 50 companies in AI are U.S. based”
How the episode opens
Westin: Whether it's the stock market or the bond market or capital investing, it seems that there's only one answer to just about every question these days, artificial intelligence. Blair Effron of Centerview Partners spends his time advising corporate CEOs on deals and investing going well beyond AI. We asked him just how is the rush to AI distorting the rest of corporate finance?
Blair, you spend a lot of time with big corporations and their CEOs. All the talk right now seems to be about artificial intelligence. How much is that distorting what's going on in the C-suite?
-First of all, thanks for having me. David, I think it's distorting the markets much more than it is the C-suite. Obviously, the markets are all about AI.
$700 billion worth of investment. At some point, investors will demand a return. And if you're worth a trillion dollars and you trade it 30 times, that's $35 billion in net income you need.
You pick the company that has that profile. Every time this happened before, the markets will get to the right place. There will be dislocation.
Whether the dislocation is upheaval or not, I don't know. What I do know is that CEOs are absolutely attuned to this. They are better at managing through these kinds of issues more than ever.
And they look at AI from a business perspective as important. You would argue that AI investment is adding 30 basis points to 50 basis points of GDP growth. And it's helping companies.
Now, it's not helping companies quite as deeply or broadly as people think. It takes a long time for a company to figure out how to use it, how to use it as an appropriate tool. So I'm not one who thinks from a business perspective there's going to be a big cliff in employment, but it is on everybody's mind.
From the episode’s captions: roughly the first two minutes, lightly cleaned. Keep watching on YouTube →
Topics
- big tech ai spending
- hyperscaler capex
- ai adoption lag
- market pressure for returns
- corporate caution
Companies and tickers mentioned
- Centerview Partners
Watch the episode
Watch “Can Big Tech’s AI Spending Pay Off?” on YouTube
Summary, takeaways and quote selection by Octagon. Quotes are short excerpts; the full conversation is in the episode.
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