Readers discuss how large language models are highly effective at handling generic legal tasks like contract redlining, effectively replacing the foundational work of junior associates. However, this automation raises concerns about a growing knowledge gap, as new professionals may lose the opportunity to learn industry nuances through mundane, entry-level tasks. The debate highlights broader challenges across industries in training the next generation of skilled workers when foundational work is automated.