Evolutionary biology principles now inform the development of Evolvable AI. This approach prioritizes iterative, self-optimizing growth over rigid human engineering. Researchers argue that biological adaptation models will produce more resilient systems. Practitioners should expect a shift toward architectures that evolve their own logic rather than relying on static, manually tuned hyperparameters.