95% of Corporate AI Projects Fail to Generate Profit

📉 Why 95% of Business AI Projects Fail

A study by the NANDA project at MIT has identified a critical gap between expectations and the reality of generative AI usage. According to the report "The GenAI Divide: State of AI in Business 2025," 95% of corporate AI projects do not yield measurable profit or productivity growth in the first six months due to the "memory gap" problem.

🌍 Current LLM architectures, with their limited memory, hinder deep integration into business processes. This is shifting the industry's focus toward systems with improved mechanisms for long-term knowledge storage.

👤 The era of "just adding ChatGPT to the company" is over. AI success now depends on the quality of integration into workflows and the model's ability to learn from organizational data.