
How Big Tech’s Financials Obscure the True Cost of the AI Buildout
The Wall Street Journal... · 29:52 · ٩٬٠٣٨ استماع
من الألبوم WSJ's Take On the Week
الوصف
In this week's episode of WSJ’s Take On the Week, host Telis Demos and Heard on the Street columnist Jonathan Weil sit down with Kevin Koharki, principal at CAE Consulting and professor at Purdue University, to pull back the curtain on the opaque world of tech companies’ financial statements. They dig into why the massive infrastructure spend on AI data centers might be obscuring other fundamental corporate costs, specifically stock-based compensation. Koharki explains why tech giants like Meta, Microsoft, Nvidia and Google’s parent company Alphabet need to provide clearer financial reporting. He breaks down the challenge investors face in distinguishing between necessary AI capital expenditure and other underlying costs, and why greater transparency is critical to accurately valuing these businesses in the current market. This is WSJ’s Take On the Week where co-hosts Telis Demos, Heard on the Street’s banking and money columnist, and Miriam Gottfried, WSJ’s investing and wealth management reporter, cut through the noise and dive into markets, the economy and finance—the big trades, key players and business news ahead. Have an idea for a future guest or episode? How can we better help you take on the week? We’d love to hear from you. Email the show at takeontheweek@wsj.com. To watch the video version of this episode, visit our WSJ Podcasts YouTube channel or the video page of WSJ.com Further Reading Meta Rakes It In, Yet Still Borrows Billions for AI Turbocharged Earnings Are Pushing Stocks Higher. There’s a Catch. For more coverage of the markets and your investments, head to WSJ.com, WSJ’s Heard on The Street Column, and WSJ’s Live Markets blog. Sign up for the WSJ's free Markets A.M. newsletter. Follow Miriam Gottfried here and Telis Demos here. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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