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AI hype? 95 percent of companies using AI agents have failed!

 AI hype? 95 percent of companies using AI agents have failed!


In recent years, AI was expected to bring a major revolution in the business sector, but recent data and experience have shown that the use of AI agents has not been as successful as expected. And even large companies have been found to be victims of this problem.



According to a report published in Futurism, AI startups have raised more than $ 44 billion in the first half of 2025 alone, which is more than the total investment of last year. According to an analysis by Goldman Sachs, the total investment in AI is expected to reach about $ 200 billion by the end of this year. But experts have compared this trend to gambling. They say that investing in AI is as risky as gambling. The report says that American investors have even bet that using AI will increase the labor productivity of employees.


A recent study by the prestigious American research institute MIT has shown that the commercial use of AI agents has not been as successful as expected. According to the study titled “The GenAI Divide: State of AI in Business 2025”, about 95 percent of generative AI projects have not had a significant impact on companies’ Profit & Loss.


The study identified weak integration into business workflows and excessive hype as the main reasons for AI failure. Many companies have been unable to integrate AI tools into their daily lives, limiting their use to the testing stage. Similarly, investors’ high expectations for AI have led to a huge disparity in actual results.


According to an assessment by MIT, generative AI products have only been able to complete 30% of the tasks assigned to them in the workplace on average. This means that AI is not yet capable of completing tasks independently, but is limited to being an auxiliary tool.


It has been analyzed that the risk of an AI bubble is increasing due to high investment and market expectations not being met. This shows that to make AI successful, it is not enough to simply invest in technology, but rather to focus on its correct implementation, practical use, and long-term strategy.

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