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Will Meta and Microsoft's AI Investments Pay Off? | Pivot

Kara Swisher and Scott Galloway dig into the latest earnings from Meta and Microsoft, and examine the repercussions of AI investments. Will the capital expenditures in AI pay off in the long run? How long will investors wait? Subscribe to Pivot on Apple Podcasts: https://podcasts.apple.com/us/podcast/pivot/id1073226719 Subscribe to Pivot on Spotify: https://open.spotify.com/show/4MU3RFGELZxPT9XHVwTNPR Follow us on Instagram and Threads at: https://www.instagram.com/pivotpodcastofficial Follow us on TikTok: https://www.tiktok.com/@PIVOTPODCAST Send us your questions by calling us at 855-51-PIVOT, or at https://podcasts.voxmedia.com/show/pivot #pivot #podcast #microsoft #meta #ai #artificialintelligence #finance #investing #stockmarket #earnings

Kara SwisherhostScott Gallowayhost
Aug 1, 20246mWatch on YouTube ↗

At a glance

WHAT IT’S REALLY ABOUT

Meta, Microsoft Bet Big on AI Amid Soaring Costs and Uncertainty

  1. The conversation analyzes Meta and Microsoft’s latest earnings, focusing on how massive AI-related capital expenditures are reshaping their financial profiles and investor sentiment.
  2. Meta is delivering strong ad growth and profits while dramatically ramping AI spending, reassuring markets more than in previous quarters despite limited visible AI payoff so far.
  3. Microsoft’s results were solid but drew concern over an enormous jump in AI CapEx, highlighting a broader trend of tech giants pouring unprecedented sums into AI infrastructure.
  4. The hosts frame this as an unavoidable AI arms race, where a relatively small amount of current AI revenue has driven trillions in market value, raising questions about long‑term sustainability.

IDEAS WORTH REMEMBERING

5 ideas

Meta’s core ad business is funding its AI push.

With earnings per share up 73% year-over-year, ad impressions and prices both up 10%, and 3.25 billion daily active users, Meta has a robust revenue engine that can underwrite large AI investments despite near-term uncertainty.

AI CapEx is exploding across major tech platforms.

Meta, Microsoft, Google, and Amazon together are on track to spend about $200 billion in capital expenditures this year—roughly double U.S. homeland security spending—largely to build AI compute and infrastructure.

Investors are gravitating toward AI infrastructure over software platforms.

While software-layer giants see CapEx rising faster than revenue, hardware providers like NVIDIA and AMD have flat or declining CapEx but triple-digit revenue growth, making them appear like safer short-term bets.

The current AI valuation gap looks potentially unsustainable.

AI applications are generating around $20 billion in revenue but have fueled an estimated $3 trillion increase in market capitalization, implying valuations at roughly 150x revenue that would require extraordinary, sustained growth to justify.

For big incumbents, not investing in AI is not an option.

The hosts see AI as a fundamental computing shift, not a fad like the Metaverse, arguing that large firms with access to cheap capital must aggressively invest or risk falling irretrievably behind.

WORDS WORTH SAVING

5 quotes

Three and a quarter billion daily active users. So 40% of the planet is on a Meta platform every day?

Scott Galloway

The capital expenditures of Amazon, Meta, Microsoft, and Google this year will be about $200 billion. That's double what the US government spends on homeland security.

Scott Galloway

This is not the Metaverse. This is a really critical shift in computing.

Kara Swisher

Right now, the industry notionally is trading at 150 times revenues. And that just does not feel sustainable.

Scott Galloway

It's an arms race. They have to do it.

Kara Swisher

Meta’s strong Q2 earnings, ad growth, and user scaleEscalating AI capital expenditures at Meta and MicrosoftInvestor concerns about timelines and returns on AI investmentsShift of market enthusiasm from software platforms to AI infrastructure (e.g., NVIDIA, AMD, Arm)Comparison of current AI boom to the late-1990s internet and telecom bubbleConcentration of AI advantages among large incumbents with cheap capitalDisparity between modest current AI revenues and massive AI-driven market capitalization

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