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The article focused on the challenges companies face in adopting artificial intelligence technologies, particularly regarding high costs and an increase in structural bills due to numerous subscriptions and diverse platforms. For example, Uber exhausted its subscription allocations for 2026 within the first four months of the year, and Microsoft plans to cut back on spending for AI applications. Additionally, the use of these applications has led to an increase in complex data that is difficult to review, with potential errors in intelligent reports that could cause losses. The rising cost of subscriptions forces companies to continue with them because their business models rely on these expenses, especially as most firms shift to usage-based pricing, which can lead to unforeseen costs. Furthermore, automation has made auditing more difficult and has amplified errors that are not genuine. The expected financial impact of these technologies has diminished amid a downturn in the AI market, highlighting the importance of prudent spending and carefully selecting technologies that align with a company's resources and size. Equally important is developing human capital to effectively leverage these technologies.
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