A recent report from the Massachusetts Institute of Technology's NANDA initiative reveals that 95% of companies investing in generative artificial intelligence (AI) projects are failing to achieve measurable returns. The study, which analyzed data from 150 executive interviews, a survey of 350 employees, and 300 public deployments, found that only about 5% of organizations have successfully scaled AI tools to production and accelerated revenue growth. Despite U.S. companies investing between $35 billion and $40 billion in generative AI initiatives, most projects remain stalled with little or no impact on profit and loss statements. The report suggests that the challenges lie not in the technology itself but in organizational and workforce adaptation. It emphasizes the need for companies to adopt a patient, long-term approach rather than expecting immediate financial gains. The findings have prompted caution among investors, particularly in the U.S. tech sector, as enthusiasm for AI-driven business transformation faces scrutiny. Additionally, OpenAI is reportedly considering selling access to its AI data centers to offset high computational costs associated with generative AI deployments.