I suspect this is the wrong take. AI can only perform integrations when there are systems to integrate. The frontier of interesting work to be done isn't supervising an integration AI, but building out the hard components that will be integrated. Integration work itself already has been moving up the stack to low-code type tools and power-user like people over the past decade even before LLMs become the new thing.