The main difference between AI-enabled and AI-native projects lies in their inception. AI-enabled projects adapt AI to enhance existing processes, whereas AI-native projects are conceived with AI as a fundamental element. This distinction affects project planning, development, and potential impact. AI-native projects often require more specialized AI expertise and infrastructure but can offer more transformative benefits by leveraging AI’s full potential.
As we explore new projects or seek to enhance existing ones, considering whether an AI-enabled or AI-native approach is most suitable will be essential. This decision should align with our strategic objectives, resource availability, and the specific challenges or opportunities we aim to address with AI.