This disconnect has fueled growing debate about the economics of artificial intelligence. While companies such as OpenAI and Anthropic continue expanding rapidly, the broader industry faces pressure to demonstrate that revenue can keep pace with infrastructure costs. As AI models become more expensive to train and operate, investors and customers alike will increasingly focus on profitability, efficiency, and real-world business outcomes rather than growth metrics alone.