New MIT study says most AI projects are doomed...

A recent MIT study reveals that 95% of AI-driven projects fail to achieve rapid revenue acceleration, despite $30-40 billion in enterprise investment. The research analyzed 300 public deployments and found that failures stem from brittle workflows, lack of context, and misalignment with operations rather than AI model limitations. Companies building their own AI tools had higher failure rates compared to those using third-party solutions. While some success stories exist, the study suggests that effective AI implementation is primarily a human skill issue rather than a technology problem.