Big Tech has issued roughly $220 billion in AI-related debt this year, up from $12.5 billion last year, sparking bond buyer pushback.
Reddit users question whether Alphabet and peers can sustain the pace of AI infrastructure spending without higher borrowing costs.
A debate on r/ValueInvesting pits GOOG against AMZN as the top hyperscaler pick, with Warren Buffett's preference for Google cited.
Alphabet (![]()
The discussion resonated across multiple subreddits. On r/stockmarket, a user argued that the U.S. government's need to manage its $40 trillion national debt could lead to actions that slow tech growth, potentially triggering a valuation reset. While the post was more macro in scope, it directly implicated Big Tech's borrowing binge as a vulnerability. Meanwhile, on r/ValueInvesting, a user posed a pointed question: why are investors picking GOOG over Amazon (![]()
News Context: The 'Show Me' Phase of AI
The Reddit sentiment aligns with a broader shift on Wall Street. A Motley Fool article published on August 22 described the market entering a 'show me' phase for AI stocks, where investors are moving from rewarding spending announcements to demanding tangible results. While Microsoft and Amazon received positive reactions for demonstrating strong cloud growth and free cash flow, Alphabet faced skepticism due to concerns about negative free cash flow and unclear ROI timelines. Another report noted that Alphabet and Amazon are collectively investing $420 billion in AI infrastructure in 2026, with Alphabet's share estimated at $195–205 billion.
The debt-heavy buildout is not just a Reddit concern. The same news outlet highlighted that memory chip suppliers like Sandisk and Micron are benefiting from the spending surge, but the cost of capital for the tech giants themselves is rising. For ![]()
The r/ValueInvesting debate over GOOG versus AMZN captures the current uncertainty. Amazon's custom AI chip business has crossed a $25 billion run rate, and its AWS cloud growth remains strong. Alphabet, meanwhile, is spending heavily on its own TPUs and AI initiatives, but the market is demanding clearer proof of returns. As one Reddit user put it, the interesting question isn't whether Big Tech can keep borrowing—it's how expensive the next $200 billion gets.
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