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IBM Loses 25% of Its Market Value: The AI Revolution is Changing the Rules of the Game

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IBM губи 25% от пазарната си стойност: AI революцията променя правилата на играта
Photo: Nicolas Foster · Pexels License

IBM experienced one of its toughest days on the stock exchange, losing over 25% of its market capitalization. Although the official second-quarter financial results were within expectations (revenue of $17.2 billion against an expected $17.86 billion), the market reaction was catastrophic.

The reason for the crash is not in the numbers themselves, but in the signal the company sent regarding the future of technology spending. Investors realized that the era of fundamental budget reallocation is beginning: capital is being directed away from traditional corporate software toward the construction of artificial intelligence (AI) infrastructure.

The "Crowding Out" Effect
IBM's business model is heavily tied to corporate software and management systems. In the new reality, Fortune 500 companies must choose where to invest their limited resources. Since artificial intelligence requires massive expenditures on data centers, chips, and networks, budgets for traditional software and servers are beginning to shrink.

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This process is already being observed in market data. While shares of hardware and chip manufacturers such as Nvidia, AMD, and Micron are performing well or stagnating slightly, the corporate software (SaaS) sector, including Salesforce, SAP, and Workday, is reporting a decline. The market is beginning to make a clear distinction between companies that sell the "shovels" for the AI revolution (hardware) and those that must prove they can monetize artificial intelligence itself.

Hardware is the current winner
At the moment, investors are betting on the physical foundation of AI. The massive demand for HBM memory and specialized AI accelerators is leading to shortages and high prices, making component manufacturers leading players. IBM found itself in an awkward position—it offers infrastructure solutions, but a large part of its business remains in the "old" software world, which is losing weight.

Historical shifts are occurring. Previous technological revolutions—the internet and cloud computing—also redirected capital flows step by step. First, investment went into networks and data centers, and only later into applications. The same is happening now: first, the hardware foundation is built, without which artificial intelligence cannot function.

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