Rashit Makhat Warns of AI's Limitations in Business Decision-Making at Carnegie Mellon University

Published on 6.12.25

  The increasing reliance on artificial intelligence (AI) in business operations has become a growing concern among experts. Tech entrepreneur Rashit Makhat recently shared his views on the matter, warning that overreliance on AI can lead to poor decision-making without human oversight. According to Makhat, who spoke at Carnegie Mellon University, AI works best as a support tool, not a decision-maker. Researchers at the university have been studying the limitations of AI in business operations and found that AI systems often lack understanding of people, context, and consequences, which can lead to negative outcomes. A recent experiment conducted by the university demonstrated how an AI-powered chatbot made decisions that were detrimental to the company's reputation due to its inability to understand human emotions. Similar cases have been reported in various industries, including a study on AI-driven hiring tools that perpetuate biases and discriminate against certain groups of people. The lack of transparency and accountability in these systems can exacerbate the problem, making it difficult to identify and correct errors. Makhat's warning serves as a reminder for businesses to strike a balance between leveraging AI as a support tool and maintaining human oversight to minimize the risks associated with overreliance on AI and ensure informed decision-making.

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