AI investment trends have shifted! The market now demands less "big talk" and more "real monetization."

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The “creating success before achieving success” model is facing investor skepticism in the field of artificial intelligence.

Although Nvidia’s latest financial report exceeded market expectations, its stock price closed lower on the day, with the largest intraday fluctuation since April. Additionally, on November 18, Nvidia and Microsoft announced a $15 billion investment in Anthropic, with the latter promising to purchase $30 billion worth of computing power from Microsoft. After the news was announced, the market reacted calmly, whereas similar circular investment news has typically boosted stock prices in the past.

Current market sentiment has clearly shifted, moving from an earlier belief that AI investments would inevitably bring returns, to a more cautious attitude. Investors are less interested in long-term strategies of “massive upfront investment and waiting for future returns,” and are focusing more on AI business models that can generate profits in the short term. This trend is putting new pressure on AI companies that rely on long-term visions, as well as on data center and other infrastructure providers.

A Reassessment of the “Burn Cash for Growth” Logic

The core issue facing today’s AI service providers is that the cost of providing services exceeds the price paid by customers—the more customers, the greater the losses.

These companies pursue a strategy in which shareholder subsidies drive customer growth, creating a virtuous cycle: user growth stimulates investor funding and boosts valuations, enabling companies to hire engineers (some paid in equity), subsidize more customers, and invest heavily in infrastructure, hoping eventually to develop high-quality products that can be sold at full price.

However, investors have gradually recognized the fragility of this model, and are unwilling to continue shouldering huge investments in pursuit of highly uncertain returns. The widespread decline in AI infrastructure-related stocks this month reflects a market reassessment of the “burn cash for growth” logic.

Investors Shift to Short-Term Profit Strategies

The market's attitude toward AI investments is shifting from “guaranteed returns” to cautious evaluation, but is far from a total rejection. Nvidia's stock has still risen over 30% this year; Microsoft is up 14%; and CoreWeave, which expanded from crypto to cloud services after its March IPO, is up nearly 80%.

The logic behind artificial intelligence investment is undergoing a profound shift; market interest in AI is moving from long-term visionary narratives to short-term profit realization. Investors are no longer blindly chasing after the distant story of “superintelligence,” but instead pay more attention to whether businesses can demonstrate clear profitability and commercialization in the near term. This also explains why Google has performed steadily during this round of market volatility—the company focuses on turning existing technology into tangible value for enterprise clients and demonstrates a clear path to monetization.

It is evident that the market is saying goodbye to concept speculation and demanding that companies demonstrate a clear path to profitability. This shift is putting pressure on companies relying on long-term narratives, such as Meta Platforms, OpenAI, and related data center providers. For now, this is a rational adjustment to investment logic, not the bursting of an AI bubble.

Risk Warning and DisclaimerThe market carries risks, invest cautiously. This article does not constitute personal investment advice, nor does it take into account the special investment objectives, financial situations, or needs of individual users. Users should consider whether any opinions, viewpoints, or conclusions in this article are suitable for their particular circumstances. If you invest according to this article, you are responsible for the outcome. ```