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Fed's Change in Liquidity Fuels Debate: AI Breakthrough or Speculative Frenzy?

Fed's Change in Liquidity Fuels Debate: AI Breakthrough or Speculative Frenzy?

Bitget-RWA2025/11/22 23:52
By:Bitget-RWA

- The Fed's halt of QT by December 1, 2025, risks injecting trillions into AI markets, reigniting speculative concerns amid record $57B Nvidia quarterly revenue. - AI infrastructure spending surges with FEDGPU's GPU clusters and Gartner projecting $2 trillion global AI spending by 2026. - Skeptics warn of debt-driven overinvestment, citing Meta/Oracle stock declines and unproven economic returns despite "depth and breadth" of AI innovation claims. - Historical parallels to the dot-com bubble emerge as anal

The Federal Reserve's recent pause on quantitative tightening (QT) has reignited worries about speculative excess in the artificial intelligence industry, as investors debate whether the surge in AI spending marks a genuine technological leap or signals an unstable bubble. The

that it would wrap up its balance sheet reduction by December 1, a decision that could release trillions of dollars into the economy. This policy change comes as AI investments soar, with firms such as representing a 62% increase compared to the previous year.

This shift by the Fed has coincided with a rapid uptick in spending on AI infrastructure.

during a recent earnings call, stating that the appetite for AI chips is fueled by broad and deep innovation, spanning cloud services, AI-powered hardware, and sophisticated software. Likewise, FEDGPU, a Web3.0 cloud computing provider, to address the surging need for computational resources, framing AI as a new digital asset class. in 2026, according to Gartner, as businesses and governments wager on AI's potential to transform sectors.

Fed's Change in Liquidity Fuels Debate: AI Breakthrough or Speculative Frenzy? image 0

However, some caution that the current enthusiasm may not be sustainable.

but warned against excessive investment, pointing out that "valuations are elevated," and the economic payoff from AI is still uncertain. Detractors note the dependence on debt-financed capital spending, experiencing share price drops after taking on significant debt to pursue AI growth. At the same time, the Fed's conclusion of QT- without replacement since 2022—raises the issue of whether this influx of liquidity will fuel further speculative activity.

This ongoing debate echoes past market cycles. Much like the dot-com era, the lasting impact of AI will depend on whether the technology can deliver meaningful productivity improvements.

that Nvidia's results "postponed bubble concerns for now," though the stock still dropped 3% after the announcement, highlighting persistent doubts. Supporters such as UBS' Timothy Arcuri believe "the rapid expansion of AI infrastructure will benefit all players," while skeptics like NYU's Gary Marcus caution that financial risks loom if AI cannot justify its costs. the market may be overheating.

As the Fed prepares for its next round of rate cuts, the relationship between monetary policy and AI-driven market trends will be crucial. With AI investment expected to play a major role in U.S. GDP growth, both investors and policymakers face high stakes. Whether this marks a lasting technological transformation or a speculative surge will likely become clear only over the coming years.

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Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.

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