In this Club Check-in, CNBC’s Paulina Likos and Zev Fima break down big tech’s massive artificial intelligence spending spree — debating whether these billion-dollar bets will drive long-term cost savings or weigh on near-term returns.
Mega-cap tech companies are shelling out billions of dollars to build out AI infrastructure. The big question we’re asking is whether all this heavy spending will eventually pay off in efficiency or if Wall Street is right to worry about how much they’re burning through in the short term.
Concerns about AI-stock valuations seeped into the market this week and slammed stocks.
Many major tech companies —including the three biggest clouds, Amazon, Microsoft, and Alphabet‘s Google — raised capital expenditure guidance this earnings season, sparking both investor optimism and concern.
Zev Fima, portfolio analyst for the Club, argued the spending is justified: “Too much focus on the short-term is what leads to falling behind in the long term.” CNBC reporter Paulina Likos pushed back, noting that “investors haven’t seen efficiency gains show up in returns yet.”
Watch the video above to see where the debate played out on whether AI investments are real productivity drivers or just expensive promises until proven otherwise.
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