Treating enterprise AI as an operating layer

This article discusses how enterprise organizations can gain competitive advantage in AI by treating it as an operating layer (the combination of software, data capture, feedback loops, and governance that connects AI models to actual business operations) rather than just using AI as an on-demand service. The key difference is that an operating layer allows intelligence to accumulate and improve over time through organizational feedback, whereas calling an API (application programming interface, a way to request services from software) for each task treats AI as stateless and interchangeable. Incumbent organizations have a structural advantage because they already possess proprietary operational data, domain expert workers, and accumulated knowledge that startups must build from scratch.