Adam Haney discusses challenges in AI model development, emphasizing the difficulty of evaluating models in real-world settings. He highlights the importance of balancing expertise and software, the value of high-quality over large datasets, and the role of synthetic versus human data in optimizing performance and ROI based on project needs.