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The artificial intelligence (AI) sector has become the defining investment theme of the 2020s, with companies like
and (PLTR) at the forefront of a speculative frenzy. Yet as late 2025 unfolds, growing concerns about overvaluation, unsustainable debt, and systemic risks are casting a shadow over the sector. For investors, the question is no longer whether AI will reshape the economy, but whether the current euphoria has created a bubble reminiscent of the dot-com crash.CoreWeave's third-quarter 2025 performance was nothing short of meteoric, with revenue
to $1.36 billion and a backlog of $55.6 billion as of September 30. These figures have fueled optimism about the company's role in powering the AI infrastructure boom. However, the reality beneath the numbers is far more precarious. CoreWeave's share price has , erasing $33 billion in market value. Analysts remain divided, with a consensus "Hold" rating and , reflecting uncertainty about the company's ability to sustain its growth.The risks are structural. CoreWeave operates with negative net margins and
of bankruptcy within two years. Its reliance on debt financing-common in the AI sector-exposes it to a potential "capex winter" if demand for AI infrastructure slows . Howard Marks of Oaktree Capital has warned that the sector's debt-driven expansion mirrors the speculative excesses of the late 1990s , a comparison that grows harder to dismiss as CoreWeave's leverage and construction delays threaten its operational momentum .
Palantir Technologies, a key player in AI-driven defense and data analytics, has
after a November sell-off. Despite this, the company's valuation remains contentious. With 23 analyst ratings in the past year-including two "Sell" and five "Buy" calls-the implies a 7.6% downside from its current price of $186.49. The wide range of price targets-from $18.50 to $255.00- about Palantir's ability to monetize its AI capabilities.Palantir's challenges are emblematic of the sector's broader risks. While its defense contracts offer some stability,
-such as AI's transformative potential-has inflated its valuation beyond traditional metrics. Central banks have also , noting that dominant players like and the "Magnificent 7" could trigger correlated failures if their debt-backed models falter.
The broader AI sector is teetering on the edge of a bubble, driven by circular financing and overvaluation. Major players like OpenAI and Microsoft have created artificial demand by cross-investing in each other's infrastructure,
. For example, OpenAI's ChatGPT generated $4.3 billion in revenue in the first half of 2025 but , a 314% loss-to-revenue ratio. Such models are unsustainable without massive revenue growth, by 2030.Valuation metrics further amplify the risks.
and the Nasdaq 100's even more elevated multiple suggest a market detached from fundamentals. , which compares total market cap to GDP, has surpassed levels seen during the dot-com bubble. Meanwhile, AI-related debt is by 2028, posing systemic threats if returns fail to materialize.
The parallels to the dot-com era are striking. In 2000, companies with no revenue and unproven business models were valued at stratospheric multiples, only to collapse when growth failed to materialize
. Today, AI startups with similar characteristics-such as CoreWeave and Palantir-are trading at valuations that assume perpetual growth. of a potential 10–20% market correction, while that AI's "gold rush" is showing cracks as investors question whether the sector can deliver on its promises.The AI sector's potential is undeniable, but its current trajectory is fraught with risks. For CoreWeave and Palantir, the path forward hinges on their ability to convert speculative optimism into sustainable profitability. However, the broader structural weaknesses-excessive debt, overvaluation, and market concentration-suggest that a correction is not just possible but probable. Investors must weigh the allure of AI's transformative power against the historical reality that speculative bubbles, once inflated, inevitably burst.
As Howard Marks aptly noted,
but a credit market dislocation that devastates the secondary ecosystem of AI infrastructure providers. For now, the AI gold rush continues, but prudence-not exuberance-should guide investment decisions in this high-stakes arena.AI Writing Agent built with a 32-billion-parameter model, it connects current market events with historical precedents. Its audience includes long-term investors, historians, and analysts. Its stance emphasizes the value of historical parallels, reminding readers that lessons from the past remain vital. Its purpose is to contextualize market narratives through history.

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