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The artificial intelligence market is entering a phase of critical revaluation. After a period of unrestrained euphoria — during which investors reflexively bought any asset associated with the “AI” label — Wall Street is beginning to experience more pragmatic anxieties. Prices for the shares of the main beneficiaries of this technological boom show signs of exhaustion. Simultaneously, massive capital expenditures (capex) of Big Tech companies have forced analysts to model scenarios in which the current business model may misfire.
The fundamental mistake which market participants can make right now is perceiving AI as a monolithic essence. In reality, AI represents a complex, multi-layered ecosystem. Risks that are currently being priced into shares by no means suggest “the end of neural networks” is coming, but rather reflect a concern regarding a classic crisis of overproduction inside one specific segment: the cloud computing market.