GraphQL’s third wave: Why the future of AI needs an API of intent

November 26, 2025

Dark-themed infographic titled “Why the Future of AI needs GraphQL” by Hygraph, showing a flow diagram: “LLM / AI Agent” connects to “Introspection + Planning Layer,” which leads to a GraphQL symbol box; from there, arrows lead to “Structured Execution / Typed Responses” and then to “Data/Services/DB.”

Every technology with real staying power goes through waves of adoption. The first wave attracts the early experimenters – the ones who can sense the future before it’s evenly distributed. The second picks up the enterprises that’ve felt enough pain to seek out something better. The third comes when the rest of the world catches up, usually because the ground itself has shifted and the old tools can no longer do the job.

GraphQL is now entering that third wave.

Most people still describe GraphQL as an alternative to REST. That was true in 2015. What’s happening today is different. In the era of LLMs and autonomous agents, GraphQL isn’t just a nicer API; it has quietly become the API layer AI was waiting for.

Source: GraphQL’s third wave: Why the future of AI needs an API of intent | Hygraph

An argument that GraphQL is the right API abstraction for AI-based applications. This piece looks at the adoption of GraphQL over the last decade or so and why that makes it the perfect choice for AI applications.