Genius is not a matter of intelligence, memory, or speed, but the disciplined ability to compress reality into clear, reusable abstractions without distorting truth. Those who master simplification gain disproportionate leverage across learning, leadership, science, technology, and social impact because intelligence scales with the quality of abstraction, not the quantity of information. From Feynman’s ruthless clarity and Leonardo da Vinci’s cross-domain patterning to scientific parsimony and the limits of rote learning, the decisive advantage lies in seeing structures beneath noise and transferring insight across contexts. In an age where machines excel at pattern recognition but struggle with genuine abstraction, human relevance depends on cultivating explainability, autonomy, and synthesis. Societies that reward clarity over credentials and pattern-based learning over memorization will adapt; those that hoard complexity will stagnate. True genius is therefore not a private achievement but a moral responsibility—to think clearly, explain simply, and build systems that help others do the same.