## Introduction AI's early-2025 spending spree featured massive raises and trillion-dollar infrastructure promises. The companies like Meta and Google increased the salaries of their employees specialized in large language models (LLM) and announced new technologies to improve the machine learning (ML) capabilities of learning and adapting. However, by the end of the year, the hype turned into a more critical scrutiny over sustainability, safety, and business models. Experts started asking if companies are investing enough in eco-friendly solutions and if the benefits of AI technologies are actually shared among all. ## Impact on security The security criticism was particularly strong. Experts noted that companies are using large language models to collect and analyze large amounts of data, which could create risks for user privacy. ## Impact on business models The sustainability criticism was also strong. Experts noted that companies are investing too much in eco-friendly solutions but have not yet achieved the desired results. ## Conclusion In summary, AI's early-2025 spending spree featured massive raises and trillion-dollar infrastructure promises. However, by the end of the year, the hype turned into a more critical scrutiny over sustainability, safety, and business models.