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Wall Street Dumps Shares of Companies Threatened by AI

A new trend is taking shape in the US stock market: investors are dumping shares of companies that could become victims of the rapid advance of AI. Fear of…

AI-processed from Bloomberg Tech; edited by Hamidun News
Wall Street Dumps Shares of Companies Threatened by AI
Source: Bloomberg Tech. Collage: Hamidun News.
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# Wall Street Divests From Shares of Companies Threatened by AI

On the U.S. stock market, there is a phenomenon that investors call "AI roulette": shares of companies whose business models are vulnerable to artificial intelligence are rapidly losing value. This applies to both small software developers and the largest firms in capital management. In other words, the entire spectrum of companies that once seemed invulnerable is now under crossfire from the new technology. Investors are recalculating their portfolios, asking themselves a simple question: can this business survive the era of mass automation? If the answer sounds doubtful, the shares plummet.

The wave of panic on the market reflects a deep shift in how analysts and portfolio managers perceive competitive advantage in the modern world. Previously, investors looked at profitability, scale of operations, and customer loyalty. Now a critical condition has been added to this list: resilience to AI disruption. Companies that rely on repetitive analytical work, data processing, or standardized consulting services trigger frank concern among traders. The reason is simple — it is precisely in these areas that artificial intelligence demonstrates the greatest potential for replacing human labor.

Technically, this means that many companies are now valued through the prism of what is called the substitutability coefficient. The higher the share of work that AI could potentially perform, the higher the risk for the investor. Large asset management firms, for example, have traditionally lived off analysts who research companies, predict trends, and make recommendations. But with the emergence of advanced neural networks, this process becomes cheaper and faster. Why pay an expensive specialist if the system can analyze thousands of reports in minutes? The market is already beginning to reassess the value of such services, and valuations are falling.

At the same time, a curious paradox is unfolding: shares of companies that create AI tools or actively implement them, conversely, are receiving primacy from the portfolios of investors seeking shelter from technological disruption. This reinforces the effect of market stratification. On one side are the potential victims of automation, on the other are those who can control and monetize this technology. The difference in valuations is becoming increasingly dramatic.

Analysts emphasize that there are no clear-cut answers in this situation. It is unclear who will truly win in the new era and who will fall behind. Perhaps companies will adapt faster than the market assumes. Perhaps AI will not be as universal as investors are buying it. Or there will be a transition period in which traditional companies survive staff reductions and transition to a new model. Uncertainty is the main driver of selling.

The result of these fluctuations is growing nervousness in the capital market. Investors no longer believe in permanently established company values. Every quarterly report now contains an implicit question: how much has the business model become outdated in the last three months? This new reality has not yet been fully absorbed by the industry, but signs of it are already visible in the daily fluctuations of valuations. Wall Street is experiencing a moment of reassessment, and the outcome of this process will largely determine which companies will remain relevant in the coming decade.

ZK
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