AI-Driven Innovation: A Two-Phase Model for Continuous Improvement

AI enables innovation activities to be divided into two stages: an initial design phase led by humans, where innovators generate design ideas for new products, followed by a phase supported by AI, where specific solutions are developed for users through algorithms. The second phase is cost and time-efficient, enabling solution development to cater to each user's immediate needs. This creates a continuous loop where the user's requirements become the innovator's latest data and innovation resources, eliminating the need for a physical product to mediate between design and use. As a result, the innovation system allows for incremental, updated, and dynamic communication.