For decades, enterprise technology followed a familiar arc. A new capability would emerge as a specialty tool, useful to a handful of power users, managed by a dedicated team, funded through a departmental budget line. Over time, if the technology proved its value, it would graduate: First into a shared service, then into the core technology stack and finally into the fabric of how the organization operated. Databases. Networks. Cloud computing. Each followed this trajectory. Artificial intelligence has just completed that journey, in roughly a quarter of the time any previous technology took to do it. The evidence is no longer theoretical. In sector after sector, AI has moved from pilot project to operational dependency. Financial services firms are running credit decisioning and fraud detection on models that would have been considered research projects three years ago.

Full report : The way organizations budget for, govern and think about artificial intelligence must undergo a fundamental shift before the gap between leaders and laggards becomes unbridgeable.