The primary risk is accepting AI-generated output without sufficient review. AI will produce plausible-looking code that can be subtly wrong: inventing API fields that are absent from the spec, applying naming conventions from one context incorrectly to another, or making assumptions about business logic based on patterns. A secondary risk is using AI as a substitute for foundational knowledge. Without prior CI/CD experience, an engineer will be unable to evaluate whether the generated pipeline is production-grade, which makes the gap invisible rather than closed.