The huge volume of heterogeneous data generated in the last decade has forced an acceleration of technological progress, due to the need to increase computational processing capacity and develop new artificial intelligence techniques to respond to the information needs of organizations. Advancements in processing and computational power have enabled artificial intelligence (AI) to reach performance levels that were previously unimaginable, elevating AI to a key strategic technology for organizations. In dynamic and unpredictable environments, characterized by competitive global markets, rapidly advancing technologies, and shifting political landscapes, AI has demonstrated its capacity to support the decision-making processes of increasingly complex organizations. Leading technology companies such as Google, Amazon, Netflix, Airbnb, Facebook, and Apple have integrated AI into their strategies, leveraging vast amounts of data to gain valuable insights. This has enabled them to enhance productivity, innovate their offerings, and expand into new markets with highly personalized products and services for their customers. This initial evidence highlights AI’s significant potential to drive organizational innovation. However, what are the future prospects—both opportunities and challenges—of its impact on innovation processes? Additionally, which types of organizations are best equipped to support and advance AI-driven innovation?