If the defining enterprise AI platforms of the coming decade are distinguished by their ability to coordinate work rather than merely automate discrete tasks, then the logical question becomes what transforms coordination into intelligence. The answer is not larger language models, additional automation, or increasingly sophisticated user interfaces but recursivity: the capacity of a system to incorporate the consequences of its own actions into future decision-making. Whereas traditional enterprise software executes predefined workflows and today’s generative AI primarily responds to isolated prompts, recursive systems continually reinterpret organizational experience as new operational knowledge, allowing each interaction to reshape the next.
