Design Thinking and AI are a natural fit, particularly in the Discover and Define phases of problem-solving. AI agents can significantly accelerate the initial research and assumption analysis stages of a project. Instead of spending days synthesizing information, an AI can generate a structured Product Requirements Document in minutes. This AI-generated output is not the final goal; it serves as a starting point for human review and refinement. The human "In The Loop" is crucial for correcting AI-generated inaccuracies and injecting judgment. AI excels at the Empathize stage by meticulously analyzing research reports for patterns and challenging initial assumptions against evidence. It can uncover deeper emotional layers behind user frustrations, leading to more effective problem framing. The AI acts as an adversarial partner in the Define stage, pressure-testing Point of View statements. This iterative loop of writing, challenging, and revising helps refine the problem definition quickly. While AI compresses the problem-discovery phase, it doesn't replace the core principles of Design Thinking. The human designer's judgment is essential for creative choices in the "double diamond" process. Ultimately, AI empowers designers by accelerating the investigative work, allowing more time for creative decision-making.