AI startups are experiencing a boom and bust cycle due to the ease of building applications with widely accessible tooling.Investors are looking for products that are stickier, meaning they are indispensable and deeply integrated into the user's workflow.The AI landscape is shifting towards hyperpersonalization, with dropping training expenses and the emergence of more domain-specific models.AI startups need to focus on building revenue-generating products with defensible moats and understanding what triggers emotions in humans.