AI companies are switching focus from ambitious, speculative AI projects to creating practical, marketable products. This move comes after a massive trillion-dollar investment into hardware and data centers that has yet to yield significant results, sparking concerns of a generative AI bubble. The article outlines five key challenges that these companies must overcome to achieve commercial success, including product-market fit, cost, reliability, privacy, and user interface issues.