AI changes the economics of product discovery by reducing the cost of exploring questions, analysing evidence, and testing ideas. This empowers product teams to investigate more possibilities before committing to solutions, leading to better-informed decisions while still requiring human judgment and critical thinking. Key takeaways include: - Explore more before committing by making expensive discovery work accessible to challenge assumptions early. - Accelerate learning rather than delivery by using rapid prototyping to identify ideas worth investing in. - Understand where AI helps since analysis accelerates, but validation remains essential because plausible outputs are not always trustworthy evidence. - Keep discovery a human and collective discipline where customer contact and critical debate turn information into insight.