The generalized gradient extends the idea of a gradient to nonsmooth functions, providing a way to analyze and optimize functions that are not differentiable in the classical sense. It is particularly useful in optimization problems where the objective function may have kinks or discontinuities, allowing for the application of subgradient methods to find optimal solutions.