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Currently AI-generated works in music, literature, painting, and film have drawn widespread attention, yet assessments of its capabilities remain largely at the empirical level. This paper proposes an analytical framework based on neuroaesthetics, distinguishing the essence of artistic creation into two levels: "Alignment" (statistical fitting) and "Evocation" (fragmentation and reorganization). Based on this distinction, it establishes the " Ring Scale" to quantify aesthetic intensity. Within this framework, the paper analyzes the neural foundations of the auditory, visual, and literary pathways and their integrative effects in multimodal comprehensive art (film and television), explains the deeper reasons why AI has achieved breakthroughs first in the auditory domain, and points out that the current core capability boundary of AI lies in the fact that "alignment has reached its extreme, while evocation still faces hierarchical obstacles." On this basis, the paperproposes three levels of strategic shifts—from replacing humans to complementing humans, from exhaustive imagery to probing fragments, and from pursuing ring counts to pursuing fission—and establishes imagination as the core productive force in human-AI collaboration. The paper anchors the key to theoretical implementation in "Prompt Engineering," arguing that its essence is the process by which human creators translate imagination into AI-executable instructions, and proposes three core strategies: physiological arousal description, multimodal simulation prompts, and strategic blank-leaving. This paper also explores the potential positive value of AI's "hallucination" property at the evocation level. Finally, this paper systematically compiles the testable hypotheses proposed throughout the study, designs corresponding validation approaches, and calls for empirical research.