We investigate the spectral properties of fractional Laplacians H = L 0.9 defined on several one-dimensional fractal point sets, including Cantor-type hierarchical geometries and subdivision-based fractals such as the Sierpiński and Koch constructions. Using a unified numerical pipeline combining polynomial unfolding, bootstrap-resolved gap statistics, spectral dimension estimation, Brody index analysis, gap-ratio universality, number variance, inverse participation ratios, Rényi entropies, multifractal dimensions, and robustness-to-noise tests, we identify two sharply distinct spectral universality classes. Hierarchical fractals (Cantor and Random Cantor) converge to a Poisson-type spectral regime, with spectral dimension d s ≈ 2, vanishing Brody index β → 0, and gap ratio ⟨r⟩ approaching the Poisson limit. Subdivision fractals (Sierpiński and Koch) exhibit instead a rigid, non-RMT spectral class characterized by extreme level repulsion (⟨r⟩ → 1), Brody index β → 1, low number variance, and multifractal gap statistics, while remaining incompatible with both Poisson and Wigner-Dyson distributions. Scaling across refinement levels (3 ≤ L ≤ 7) reveals stable convergence of all indicators, demonstrating that the linear/integrable Poisson regime is contained as a limiting case within the broader class of hierarchical fractal spectra, whereas subdivision fractals generate a genuinely new universality class with no analogue in classical random matrix theory. These results provide the first systematic classification of spectral universality in one-dimensional fractal geometries and establish a quantitative bridge between geometry, spectral dimension, and level statistics in non-smooth metric spaces.