How is generative AI changing the speed of machine learning development and prototyping?

Generative AI is dramatically accelerating machine learning development cycles. While traditional supervised learning approaches typically required 6-12 months to build valuable AI systems (with months spent collecting data, training models, and deploying), generative AI enables developers to create functioning prototypes in just days through prompt engineering rather than extensive data collection and model training. This rapid development enables a new path to innovation through fast experimentation. Teams can now build multiple prototypes quickly, test them with users, and focus on what works rather than investing months in a single solution that might fail. This shift is transforming how AI applications are created, making experimentation the primary path to inventing new user experiences.