Scaling LLMs yields smaller gains at exponentially higher costs.Public internet data has been nearly exhausted, and synthetic data offers only modest improvement.LLMs still struggle with reasoning, bias, and explainability, limiting their applicability in high-stakes domains.The next chapter of AI may be less about 'bigger and faster' and more about responsibility, reasoning, and relevance.