The next chapter in AI will be defined by unglamorous, disciplined engineering. That means optimizing domain-specific architectures, building robust spatial representations, refining real-time inference, and designing rigorous evaluation suites for real-world tasks. Waiting for pure scale to solve your product's edge cases is usually a dead end. Long-term defensibility comes from the pragmatic engineering choices that turn models into reliable, grounded tools.