How can AI help validate hypotheses before extensive testing?

AI can help validate hypotheses before testing by analyzing historical data, identifying patterns, and using predictive models to simulate outcomes. It leverages natural language processing to extract insights from research, feedback, and trends, helping refine assumptions. AI can also detect anomalies, generate prototypes, and create synthetic data for preliminary analysis. This early validation helps prioritize ideas, reduce testing costs, and improve decision-making, letting teams move forward with more confidence before investing in full-scale experiments and product development.