Automatigility

Automatigility is a conceptual term used in discussions about the future of work and artificial intelligence. It describes the hypothetical capability of intelligent systems to not only automate tasks but also to dynamically adapt and learn from their environment and interactions in a way that mimics human-like agility. This concept goes beyond simple automation, which often involves pre-programmed routines, to encompass systems that can exhibit flexibility, problem-solving skills, and the ability to respond effectively to unforeseen circumstances or changing requirements without explicit human intervention.

The idea of automatigility suggests that future AI systems will be able to reconfigure themselves, learn new processes, and even collaborate with other systems or humans in novel ways. This could involve tasks that require judgment, creativity, or complex decision-making, areas traditionally considered exclusive to human capabilities. Achieving automatigility is seen as a significant step towards truly autonomous systems that can operate effectively in dynamic and unpredictable real-world environments. It implies a level of intelligence that can interpret context, anticipate needs, and adjust its actions accordingly, blurring the lines between automated processes and cognitive capabilities.