The article discusses how large language models (LLMs) increasingly reward expertise by excelling in domain-specific tasks. In the 2010s, individuals lacking certain technical skills such as writing CSS were forced to depend on experienced colleagues or make uncertain guesses. This shift highlights the growing capability of LLMs to provide specialized assistance where deep knowledge would otherwise be required.