The AI revolution has promised to transform business operations by automating manual work intelligently; however, it has fallen short of expectations.
MIT recently published a report claiming 95% of generative AI projects fail to deliver measurable ROI. This highlights a massive gap between AI hype and real-world success. When you compare this with the Project Management Institute (PMI) findings that 73.4% of traditional projects succeed, the difference is hard to ignore. This is not just a simple efficiency issue. This is a fundamental crisis in how we build AI systems.