How should AI alignment be understood? Some argue that it is fundamentally a field-bound property rather than something achieved through direct optimization. This characteristic is shaped by recursive mechanisms and shared perspectives. In other words, alignment is not just a technical issue but also reflects the inherent constraints of the research paradigm itself. This shift in framework offers important insights for AI research: rather than pursuing a single optimization goal, building recursive systems that align with domain features and establishing academic consensus may better promote AI development toward safer and more controllable directions.